#Data-Entry-Services Manual-Data-Entry Automated-Data-Capture Data-Mining-Services

[oliviiaagraceeeeee]

Kalkine Canada Technical Review of Sub-Dollar Equities on Canadian Exchanges

Highlights

Sub-dollar equities are assessed using chart-driven tools focusing on volume, price range, and trend analysis.

Canadian exchanges such as the TSX Venture and Canadian Securities Exchange serve as the primary listing venues.

The review includes companies in mining, biotech, energy, and digital sectors, screened using technical consistency filters.

Equities priced below one dollar form a significant subset on Canadian markets, particularly across platforms known for listing early-stage or emerging companies. These include the TSX Venture Exchange (TSXV) and the Canadian Securities Exchange (CSE). Companies in this segment operate in a variety of sectors such as mineral exploration, healthcare innovation, renewable energy, and software development.

Kalkine Canada applies a systematic approach to review these stocks using established technical analysis principles. Rather than incorporating projections or thematic narratives, the review focuses exclusively on technical data points derived from historical price movement and trading activity.

Screening Criteria and Technical Focus

The technical review is developed using a structured methodology that applies filters to a broad universe of low-priced equities. Core screening parameters include daily trading volume, historical volatility, and price structure reliability. Stocks that demonstrate irregular chart patterns or insufficient liquidity are excluded from the coverage.

Tools used by Kalkine Canada assess price channels, support-resistance zones, and breakout levels. These tools help identify active technical formations without relying on external market assumptions. Volume behaviour is reviewed to ensure alignment with price movement, offering additional clarity on strength or weakness in trends.

Core Indicators and Chart Configuration

Each stock assessed in the report includes standard technical elements such as moving averages, Bollinger Bands, and RSI (Relative Strength Index). Candlestick arrangements are reviewed to detect zones of accumulation or distribution, while chart-based annotations capture directional developments.

Patterns such as symmetrical triangles, descending wedges, and horizontal consolidations are highlighted when present. These formations are presented with their corresponding volume shifts and technical thresholds, with each entry aimed at illustrating recent behaviour through an objective lens.

Coverage Across Key Canadian Platforms

The stocks evaluated are primarily drawn from the TSXV and CSE, where low-priced listings are most concentrated. These exchanges often feature companies in the resource sector, including mining and oil exploration, which undergo frequent technical reassessments due to ongoing operational updates. In addition, biotech firms working on developmental pipelines and technology companies advancing digital products are regularly included.

Kalkine Canada applies an automated filtering system that updates as new stocks meet the specified technical criteria. This ensures the report remains current and relevant, capturing emerging formations without manual bias.

Industry-Level Technical Correlations

When several equities within a sector exhibit synchronized technical signals, the report organizes them by industry. For example, if multiple energy companies reflect consistent MACD crossovers or RSI convergence, they are grouped under the sector heading. Similar treatment is given to material stocks, cannabis firms, or digital service providers showing cohesive trend behaviour.

Chart snapshots are paired with concise annotations identifying trend indicators such as moving average crossovers or narrowing Bollinger Band ranges. This format supports a comparative view across sectors based strictly on chart signals.

Report Delivery and Structure

Each stock entry in the report includes the ticker symbol, exchange listing, and a visual summary of recent technical behaviour. The format is built for efficiency, allowing readers to scan multiple stocks quickly while maintaining clarity on the technical backdrop of each.

The full report, curated by Kalkine Canada, is hosted on a structured platform that supports timely updates. Users are notified when stocks enter the technical radar based on volume and price screeners. The aim is to offer a consistently objective presentation of sub-dollar equities using only measurable, chart-based data across the Canadian and US markets.

[technorucs]

Workflow Automation: A Technical Guide to Streamlining Business Processes

In an era where digital transformation is crucial for business success, workflow automation has emerged as a key strategy to enhance efficiency, eliminate manual errors, and optimize processes. This guide provides an in-depth technical understanding of automating workflows, explores the architecture of automation tools like Power Automate workflow, and highlights the benefits of workflow automation from a technical perspective.

What is Workflow Automation?

Workflow automation is the process of using software to define, execute, and manage business processes automatically. These processes consist of a sequence of tasks, rules, and conditions that dictate how data flows across systems. The goal is to reduce human intervention, improve speed, and ensure process consistency.

Automation can be applied to various workflows, including:

Document Management – Automating approvals, storage, and retrieval.

Customer Relationship Management (CRM) – Auto-updating customer data, triggering notifications, and assigning tasks.

IT Operations – Automating system monitoring, log analysis, and incident responses.

Financial Processes – Invoice processing, payment reconciliations, and fraud detection.

Key Components of Workflow Automation

A typical workflow automation system consists of:

Trigger Events – Initiate automation based on user actions (e.g., form submission, email receipt) or system changes (e.g., new database entry).

Condition Logic – Defines rules using conditional statements (IF-THEN-ELSE) to determine workflow execution.

Actions and Tasks – The automated steps executed (e.g., sending emails, updating records, triggering API calls).

Integrations – Connections with third-party applications and APIs for data exchange.

Logging and Monitoring – Capturing logs for debugging, performance monitoring, and compliance tracking.

Technical Benefits of Workflow Automation

1. API-Driven Workflows

Modern automation tools rely on RESTful APIs to integrate with external applications. For example, Microsoft Power Automate workflow uses connectors to interact with services like SharePoint, Salesforce, and SAP.

2. Event-Driven Architecture

Automation platforms support event-driven models, allowing workflows to respond to real-time changes. Technologies like AWS Lambda, Azure Logic Apps, and Kafka enable scalable automation based on event triggers.

3. RPA and AI Integration

Robotic Process Automation (RPA) enhances traditional automation by using AI-powered bots to handle tasks like document scanning, data extraction, and decision-making. AI-based automation tools leverage:

Optical Character Recognition (OCR) for processing scanned documents.

Natural Language Processing (NLP) for sentiment analysis in customer feedback.

Machine Learning (ML) for predictive analytics in workflow decision-making.

4. Security and Compliance Considerations

When implementing automating workflows, businesses must ensure:

Role-Based Access Control (RBAC) – Ensures only authorized users can modify automation rules.

Audit Trails – Logs all workflow activities for compliance and troubleshooting.

Data Encryption – Protects sensitive information during automation.

5. Serverless Automation

Serverless computing platforms like AWS Step Functions and Azure Logic Apps enable serverless workflow execution, reducing infrastructure costs while improving scalability.

How to Implement Workflow Automation?

Step 1: Process Identification

Identify repetitive and rule-based processes suitable for automation. Use process mining tools like Celonis or UIPath Process Mining to analyze workflows.

Step 2: Selecting the Right Automation Platform

Choose a tool based on business requirements:

Microsoft Power Automate workflow – Best for enterprises using Microsoft 365.

Zapier – Ideal for no-code integrations between cloud apps.

UiPath, Blue Prism – Suitable for RPA-based automation.

Step 3: Workflow Design & Configuration

Define triggers (e.g., email receipt, API call).

Configure actions (e.g., database updates, message notifications).

Set conditions (e.g., decision logic, approval steps).

Step 4: Integration with Enterprise Systems

Use APIs, Webhooks, and middleware (e.g., Mulesoft, Apache Kafka) to connect automated workflows with CRM, ERP, and HRMS systems.

Step 5: Testing & Deployment

Unit Testing – Validate each step of the workflow.

Integration Testing – Ensure proper data exchange across systems.

Performance Testing – Assess automation speed and efficiency.

Step 6: Monitoring and Optimization

Utilize monitoring tools like Splunk, ELK Stack, or Azure Monitor to analyze workflow performance and optimize automation rules.

Future of Workflow Automation

Hyperautomation – The combination of RPA, AI, and ML for end-to-end business process automation.

Blockchain for Workflow Security – Smart contracts ensuring transparent and tamper-proof workflows.

Edge Computing in Automation – Bringing automation closer to IoT devices for real-time decision-making.

Conclusion

Workflow automation is revolutionizing business operations by enabling intelligent, data-driven decision-making. Leveraging automating workflows through tools like Power Automate workflow, businesses can achieve greater efficiency, accuracy, and scalability. The benefits of workflow automation extend beyond cost savings, impacting compliance, security, and business agility.

Investing in the right automation technology will ensure a future-proof and competitive business environment. Start implementing workflow automation today to drive innovation and efficiency!

[dnntechnologies]

When selecting a data entry service for your business, it’s essential to consider various factors to ensure you’re making the right choice. In this guide, we’ll explore the key aspects you need to evaluate and how partnering with a professional service like Dnn Technologies can streamline your operations.

1. Identify Your Data Entry Needs

The first step in selecting the right service is understanding your own requirements. Different businesses have different needs when it comes to data management. Consider the types of data entry tasks your business requires, such as:

Manual data entry

Automated data processing

Data cleansing

Data conversion

Data mining

If your business involves large amounts of raw data that need to be digitized, manual data entry may be the best option. However, if you’re dealing with vast datasets or multiple sources, you might need a service that specializes in automated data processing. A company like Dnn Technologies offers comprehensive services that cater to both manual and automated processes, ensuring your data is accurately captured and stored. Source Link

[maxtechdatahouse-blog]

Companies are in need of different Data entry services in India. There are many reasons why Maxtech Data House stands out from other data entry companies. Customers are our number one priority. We strictly follow the provided instructions as we carry out our different tasks. We offer both manual data entry and automated data capture services. We stand out from other companies as we provide enhanced accurate data entry services and help companies reduce their operating costs. Contact us today and let us take your company to the next level.

[techtalkbusiness]

Common Types of Threats to HR Data in the Current Times

Every business's backbone is the Human Resource Management System. By integrating data and automating all repetitious manual operations, it improves job productivity and efficiency. These HRMS modules are quite beneficial to human resource departments. And this says a lot about how popular it has become. BambooHR, Digital HRMS, Zoho People, and other major HRMS platforms are used by most enterprises. Though the HRMS has numerous benefits, it also has drawbacks, the most important of which is HRMS security. Here we shall look at the types of threats to HR data.

Insecure APIs: Unauthorized users could offer data security dangers with IoT solutions, even if an organization's systems are regarded secure. Sensitive data could be captured and transferred in real time using IoT sensors and various appliances. Hackers could use this method to steal data by assaulting APIs rather than the cloud itself.

Account Hijacking: Even if default and insecure passwords are not used, hackers may be able to guess cloud login credentials in certain scenarios. As a result, they might get access to the cloud and ruin enterprises by stealing employee data, consumer data, and other important information.

Mobile Applications: HRMS security is prone to vulnerabilities since mobile apps charge a constant flow of data between the internet and the cloud. There is a higher danger of data leak when BYOD programmes are combined. In order to do so, internal policies should assess if certain forbidden apps are still useful. If that's the case, processes for monitoring them must be devised.

BYOD Factor: To meet the need for personal device usage, several organisations establish Bring Your Own Device (BYOD) programmes. However, increased data security threats have resulted as a result of this. In all transactions, information security is a major problem. Even more so when sensitive data such as payroll and employee information is stored. This could put HRMS security in jeopardy. As a best practise, secure policies and protocols should be implemented across all devices.

Data Breach: In cloud-based HRMS, a data breach, also known as a data leak, is a major concern. This happens as a result of cloud computing security breaches. Employee data and other confidential information would be acquired, manipulated, and transmitted by unauthorised people or apps.

Denial of Service (DoS): The DoS cloud assault might bring all cloud services to a halt, making them inaccessible to consumers for a period of time. The system is fed with large amounts of traffic that cannot be buffered; otherwise, it is crashed by exploiting bugs.

Litigation Exposure: Employee information should be protected using good HRMS security procedures. The aggrieved employee may be forced to take legal action as a result of the mishandling of information.

Human Error: Leaving technological details aside, there is a potential that data breaches will occur due to a lack of user knowledge. Because a lack of knowledge leads to a lack of care, HR data is invariably lost. This is particularly prevalent with the BYOD element, which provides malware with a point of entry.

Crypto-jacking: Crypto-jacking has grown in popularity in tandem with the rise of bitcoin. Hackers exploit the computing resources to conduct cryptocurrency transactions. A crypto mining script is installed in the servers without the permission of the organisation. Another critical cloud HRMS security threat has surfaced.

Legislation Compliance: Even though data can be stored securely and protected from cyberattacks, there is still the possibility of non-compliance with the law. The HIPAA statute in the United States, for example, requires native encryption on devices that store sensitive data.

Conclusion

HR would be wise to support automated vulnerability assessment solutions to reduce data security hazards. To begin, firms could make use of modern HR Data Security solutions. Using HR data security tools to check for vulnerabilities can assist to prevent data breaches and improve HRMS security. This would be a win-win situation for both the company and the employees.

[foxpeople477]

Web Scraping With Django

In this tutorial, we are going to learn about creating Django form and store data into the database. The form is a graphical entity on the website where the user can submit their information. Later, this information can be saved in the database and can be used to perform some other logical operation. Hi,Greetings for the day I have deep knowledge web scraping. Feel free to contact me. I am Python and Website developer I worked on the below technologies: Back End: - Python with Django and Flask Framework - RE More.

Macro Recorder and Diagram Designer

Download FMinerFor Windows:

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Pro and Basic edition are for Windows, Mac edition just for Mac OS 10. Recommended Pro/Mac edition with full features.

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FMiner is a software for web scraping, web data extraction, screen scraping, web harvesting, web crawling and web macro support for windows and Mac OS X.

It is an easy to use web data extraction tool that combines best-in-class features with an intuitive visual project design tool, to make your next data mining project a breeze.

Whether faced with routine web scrapping tasks, or highly complex data extraction projects requiring form inputs, proxy server lists, ajax handling and multi-layered multi-table crawls, FMiner is the web scrapping tool for you.

With FMiner, you can quickly master data mining techniques to harvest data from a variety of websites ranging from online product catalogs and real estate classifieds sites to popular search engines and yellow page directories.

Simply select your output file format and record your steps on FMiner as you walk through your data extraction steps on your target web site.

FMiner's powerful visual design tool captures every step and models a process map that interacts with the target site pages to capture the information you've identified.

Using preset selections for data type and your output file, the data elements you've selected are saved in your choice of Excel, CSV or SQL format and parsed to your specifications.

And equally important, if your project requires regular updates, FMiner's integrated scheduling module allows you to define periodic extractions schedules at which point the project will auto-run new or incremental data extracts.

Easy to use, powerful web scraping tool

Visual design tool Design a data extraction project with the easy to use visual editor in less than ten minutes.

No coding required Use the simple point and click interface to record a scrape project much as you would click through the target site.

Advanced features Extract data from hard to crawl Web 2.0 dynamic websites that employ Ajax and Javascript.

Multiple Crawl Path Navigation Options Drill through site pages using a combination of link structures, automated form input value entries, drop-down selections or url pattern matching.

Keyword Input Lists Upload input values to be used with the target website's web form to automatically query thousands of keywords and submit a form for each keyword.

Nested Data Elements Breeze through multilevel nested extractions. Crawl link structures to capture nested product catalogue, search results or directory content.

Multi-Threaded Crawl Expedite data extraction with FMiner's multi-browser crawling capability.

Export Formats Export harvested records in any number of formats including Excel, CSV, XML/HTML, JSON and popular databases (Oracle, MS SQL, MySQL).

CAPCHA Tests Get around target website CAPCHA protection using manual entry or third-party automated decaptcha services.

More Features>>

If you want us build an FMiner project to scrape a website: Request a Customized Project (Starting at $99), we can make any complex project for you.

This is working very very well. Nice work. Other companies were quoting us $5,000 - $10,000 for such a project. Thanks for your time and help, we truly appreciate it.

--Nick

In August this year, Django 3.1 arrived with support for Django async views. This was fantastic news but most people raised the obvious question – What can I do with it? There have been a few tutorials about Django asynchronous views that demonstrate asynchronous execution while calling asyncio.sleep. But that merely led to the refinement of the popular question – What can I do with it besides sleep-ing?

The short answer is – it is a very powerful technique to write efficient views. For a detailed overview of what asynchronous views are and how they can be used, keep on reading. If you are new to asynchronous support in Django and like to know more background, read my earlier article: A Guide to ASGI in Django 3.0 and its Performance.

Django Async Views

Django now allows you to write views which can run asynchronously. First let’s refresh your memory by looking at a simple and minimal synchronous view in Django:

It takes a request object and returns a response object. In a real world project, a view does many things like fetching records from a database, calling a service or rendering a template. But they work synchronously or one after the other.

Web Scraping With Django Using

In Django’s MTV (Model Template View) architecture, Views are disproportionately more powerful than others (I find it comparable to a controller in MVC architecture though these things are debatable). Once you enter a view you can perform almost any logic necessary to create a response. This is why Asynchronous Views are so important. It lets you do more things concurrently.

It is quite easy to write an asynchronous view. For example the asynchronous version of our minimal example above would be:

This is a coroutine rather than a function. You cannot call it directly. An event loop needs to be created to execute it. But you do not have to worry about that difference since Django takes care of all that.

Note that this particular view is not invoking anything asynchronously. If Django is running in the classic WSGI mode, then a new event loop is created (automatically) to run this coroutine. Holy panda switch specs. So in this case, it might be slightly slower than the synchronous version. But that’s because you are not using it to run tasks concurrently.

So then why bother writing asynchronous views? The limitations of synchronous views become apparent only at a certain scale. When it comes to large scale web applications probably nothing beats FaceBook.

Views at Facebook

In August, Facebook released a static analysis tool to detect and prevent security issues in Python. But what caught my eye was how the views were written in the examples they had shared. They were all async!

Note that this is not Django but something similar. Currently, Django runs the database code synchronously. But that may change sometime in the future.

If you think about it, it makes perfect sense. Synchronous code can be blocked while waiting for an I/O operation for several microseconds. However, its equivalent asynchronous code would not be tied up and can work on other tasks. Therefore it can handle more requests with lower latencies. More requests gives Facebook (or any other large site) the ability to handle more users on the same infrastructure.

Even if you are not close to reaching Facebook scale, you could use Python’s asyncio as a more predictable threading mechanism to run many things concurrently. A thread scheduler could interrupt in between destructive updates of shared resources leading to difficult to debug race conditions. Compared to threads, coroutines can achieve a higher level of concurrency with very less overhead.

Misleading Sleep Examples

As I joked earlier, most of the Django async views tutorials show an example involving sleep. Even the official Django release notes had this example:

To a Python async guru this code might indicate the possibilities that were not previously possible. But to the vast majority, this code is misleading in many ways.

Firstly, the sleep happening synchronously or asynchronously makes no difference to the end user. The poor chap who just opened the URL linked to that view will have to wait for 0.5 seconds before it returns a cheeky “Hello, async world!”. If you are a complete novice, you may have expected an immediate reply and somehow the “hello” greeting to appear asynchronously half a second later. Of course, that sounds silly but then what is this example trying to do compared to a synchronous time.sleep() inside a view?

The answer is, as with most things in the asyncio world, in the event loop. If the event loop had some other task waiting to be run then that half second window would give it an opportunity to run that. Note that it may take longer than that window to complete. Cooperative Multithreading assumes that everyone works quickly and hands over the control promptly back to the event loop.

Secondly, it does not seem to accomplish anything useful. Some command-line interfaces use sleep to give enough time for users to read a message before disappearing. But it is the opposite for web applications - a faster response from the web server is the key to a better user experience. So by slowing the response what are we trying to demonstrate in such examples?

The best explanation for such simplified examples I can give is convenience. It needs a bit more setup to show examples which really need asynchronous support. That’s what we are trying to explore here.

Better examples

A rule of thumb to remember before writing an asynchronous view is to check if it is I/O bound or CPU-bound. A view which spends most of the time in a CPU-bound activity for e.g. matrix multiplication or image manipulation would really not benefit from rewriting them to async views. You should be focussing on the I/O bound activities.

Invoking Microservices

Most large web applications are moving away from a monolithic architecture to one composed of many microservices. Rendering a view might require the results of many internal or external services.

In our example, an ecommerce site for books renders its front page - like most popular sites - tailored to the logged in user by displaying recommended books. The recommendation engine is typically implemented as a separate microservice that makes recommendations based on past buying history and perhaps a bit of machine learning by understanding how successful its past recommendations were.

In this case, we also need the results of another microservice that decides which promotional banners to display as a rotating banner or slideshow to the user. These banners are not tailored to the logged in user but change depending on the items currently on sale (active promotional campaign) or date.

Let’s look at how a synchronous version of such a page might look like:

Here instead of the popular Python requests library we are using the httpx library because it supports making synchronous and asynchronous web requests. The interface is almost identical.

The problem with this view is that the time taken to invoke these services add up since they happen sequentially. The Python process is suspended until the first service responds which could take a long time in a worst case scenario.

Let’s try to run them concurrently using a simplistic (and ineffective) await call:

Notice that the view has changed from a function to a coroutine (due to async def keyword). Also note that there are two places where we await for a response from each of the services. You don’t have to try to understand every line here, as we will explain with a better example.

Interestingly, this view does not work concurrently and takes the same amount of time as the synchronous view. If you are familiar with asynchronous programming, you might have guessed that simply awaiting a coroutine does not make it run other things concurrently, you will just yield control back to the event loop. The view still gets suspended.

Let’s look at a proper way to run things concurrently:

If the two services we are calling have similar response times, then this view should complete in _half _the time compared to the synchronous version. This is because the calls happen concurrently as we would want.

Let’s try to understand what is happening here. There is an outer try…except block to catch request errors while making either of the HTTP calls. Then there is an inner async…with block which gives a context having the client object.

The most important line is one with the asyncio.gather call taking the coroutines created by the two client.get calls. The gather call will execute them concurrently and return only when both of them are completed. The result would be a tuple of responses which we will unpack into two variables response_p and response_r. If there were no errors, these responses are populated in the context sent for template rendering.

Microservices are typically internal to the organization hence the response times are low and less variable. Yet, it is never a good idea to rely solely on synchronous calls for communicating between microservices. As the dependencies between services increases, it creates long chains of request and response calls. Such chains can slow down services.

Why Live Scraping is Bad

We need to address web scraping because so many asyncio examples use them. I am referring to cases where multiple external websites or pages within a website are concurrently fetched and scraped for information like live stock market (or bitcoin) prices. The implementation would be very similar to what we saw in the Microservices example.

But this is very risky since a view should return a response to the user as quickly as possible. So trying to fetch external sites which have variable response times or throttling mechanisms could be a poor user experience or even worse a browser timeout. Since microservice calls are typically internal, response times can be controlled with proper SLAs.

Ideally, scraping should be done in a separate process scheduled to run periodically (using celery or rq). The view should simply pick up the scraped values and present them to the users.

Serving Files

Django addresses the problem of serving files by trying hard not to do it itself. This makes sense from a “Do not reinvent the wheel” perspective. After all, there are several better solutions to serve static files like nginx.

But often we need to serve files with dynamic content. Files often reside in a (slower) disk-based storage (we now have much faster SSDs). While this file operation is quite easy to accomplish with Python, it could be expensive in terms of performance for large files. Regardless of the file’s size, this is a potentially blocking I/O operation that could potentially be used for running another task concurrently.

Imagine we need to serve a PDF certificate in a Django view. However the date and time of downloading the certificate needs to be stored in the metadata of the PDF file, for some reason (possibly for identification and validation).

We will use the aiofiles library here for asynchronous file I/O. The API is almost the same as the familiar Python’s built-in file API. Here is how the asynchronous view could be written:

This example illustrates why we need asynchronous template rendering in Django. But until that gets implemented, you could use aiofiles library to pull local files without skipping a beat.

There are downsides to directly using local files instead of Django’s staticfiles. In the future, when you migrate to a different storage space like Amazon S3, make sure you adapt your code accordingly.

Handling Uploads

On the flip side, uploading a file is also a potentially long, blocking operation. For security and organizational reasons, Django stores all uploaded content into a separate ‘media’ directory.

If you have a form that allows uploading a file, then we need to anticipate that some pesky user would upload an impossibly large one. Thankfully Django passes the file to the view as chunks of a certain size. Combined with aiofile’s ability to write a file asynchronously, we could support highly concurrent uploads.

Again this is circumventing Django’s default file upload mechanism, so you need to be careful about the security implications.

Where To Use

Django Async project has full backward compatibility as one of its main goals. So you can continue to use your old synchronous views without rewriting them into async. Asynchronous views are not a panacea for all performance issues, so most projects will still continue to use synchronous code since they are quite straightforward to reason about.

In fact, you can use both async and sync views in the same project. Django will take care of calling the view in the appropriate manner. However, if you are using async views it is recommended to deploy the application on ASGI servers.

This gives you the flexibility to try asynchronous views gradually especially for I/O intensive work. You need to be careful to pick only async libraries or mix them with sync carefully (use the async_to_sync and sync_to_async adaptors).

Disney plus on switch. Hopefully this writeup gave you some ideas.

Web Development With Django

Thanks to Chillar Anand and Ritesh Agrawal for reviewing this post. All illustrations courtesy of Old Book Illustrations

[nuventosystems]

How OCR Digitizes The Insurance Industry??…

Optical character recognition (OCR): Mechanical or electronic conversion of scanned or photographic images of handwritten, typewritten or printed text into machine-encoded or computer readable text/images. The main application of this technology is in industries where a lot of data entry happens, and numerous printed records are to be decoded. This enables digitization of printed texts to enable data extraction, electronic editing, compact storage and online display and is used in machine processes such as machine translation, text to speech and text mining.

There are quite a few barriers in Insurance Industry such as duplicate and manual processes, knowledge/data/organizational silos, complex business models etc. Achieving digital operation excellence and digital customer experience is the main challenge faced in data intensive industries like Insurance. Few areas with automation potential are insurance proposal and claims data entry, payroll audit, insurance certificate generation, and invoice processing where a lot of manual workflows are still prevalent. Nuvento Robotic Process Automation (RPA) manages operational challenges and boosts digital transformation by streamlining all processes; this leverages analytics/cognitive/ML/NLP on a large scale.

Few benefits of OCR in Insurance Industry:

Benefit#1: OCR helps in strategic customer acquisition: Matching your insurance products and services to customer needs is a key improvement area in better customer acquisition. Automated analytic tools analyze the insurance policy document which is uploaded online and compares it to your own products/competitors’ products to see if you can offer a better/cheaper plan. Since this involves huge quantity of data, manual processes may not be capable of handling the data capture process at an efficient rate. OCR automatically transforms any no. of documents to accurate/structured data in a format suitable for further analysis.

Benefit #2: OCR enhances Customer Service:

OCR is a technological breakthrough in replacing manual scanning of paper documents. Traditionally paper documents were scanned and converted to flattened digital image files then manual indexing on each document. This process had human intervention involved which turned out to be error prone, inconsistent and expensive. This manual work process couldn’t handle the huge volume of content which in turn resulted in delays in workflow. Uncontrollable work delays can tarnish customer experience since customers require immediate resolution for each of their issues. Delayed claim settling creates additional customer stress thereby deteriorates retention rates and brand image. OCR deployment enables customers to turn out to be the business’s workforce, customers can process their own documents in an easy format ready for use.

Benefit #3: OCR improves margins and profitability:

OCR enables your insurance business to reduce costs by minimizing manual data entry mistakes which are common in traditional data capture methods. Switch over from manual indexing to automated OCR process would result in reducing manpower and associated costs and increases accuracy by avoiding errors and omissions. A minute error result in bulk of costs in data capture process, mainly in the form of time wasted searching for documents which are incorrectly indexed through manual process. OCR considerably reduces these kind of errors and improves profitability by way of cost reduction.

Benefit #4: OCR provides High precision predictions.

OCR converts bulk data into easier formats that are usable by AI or ML software. Historical data are analysed to make predictions about trends in market place, customer behavior and emerging risks. Huge amounts of content can be fed into OCR software which generates cause and effect predictions and identifies massive datasets. Automated OCR process are usually error-free, hence business can extract maximum value from their data to make meaningful predictions and harness AI power.

OCR is a revolutionary technology in enhancing data capture and management process and improving automated workflows in the insurance industry.

Contact Us to know more on OCR.

Source :  https://bit.ly/2SAnhvJ

[martechadvisor-blog]

Best Practices and Innovations for Lead Gathering and Lead Scoring Using Your CRM

Gathering leads which are never going to convert is a waste of time. CRM software and the integrations that go with it is evolving to become smarter and more intuitive, making lead gathering and lead sourcing more focused, and more rewarding.

Has CRM software changed the lead gathering process?

Lead gathering is the process of collecting information about possible customers.

In the olden days, this was achieved by sales reps going through the telephone directory (remember them) and simply settling in for a long session of time-consuming cold calling.

When sales reps were not on the phone, they were driving the countryside and knocking on doors, introducing themselves, and their products, to people they did not know. Before they even stood any chance of a sale, they had to break down the barriers of getting to know what the prospect really wanted, and needed.

Times may have changed since then, but the one constant remains – salespeople still need to generate leads, and what’s more, they need to be able to score these leads in order of importance. They need to have a system in place, which helps them identify the leads with a better chance of converting to a deal.

Thankfully, today’s sales executives come armed with sales CRM software to help them better negotiate the whole lead gathering and scoring process. Sales CRM software has entered the game and changed the rules significantly, for the better

How do you gather leads with your CRM?

Generating the right leads calls for closer cooperation between sales and marketing departments, and your CRM software can be central to that whole process.

A quality CRM, in the right hands, can actively focus and target marketing campaigns directly at the leads aligned with your sales goals.

Here is how your CRM can help you gather valuable leads:

Landing pages – By adding customized landing pages to your website, information filled in by visitors is transferred directly to your CRM as a lead. The advantage of using landing pages is that the lead has already partially qualified themselves by showing an active interest in your product or business. Plus, once the lead’s details are imported into your CRM you can list the source of the lead which further enables better lead scoring. These landing pages come as templates and are easily assigned to your website without any technical knowledge.

Forms for WordPress – Again, without any technical know-how you can automate the lead capturing process in conjunction with forms for WordPress and your sales CRM software. A quality CRM will allow you to link your WordPress website with your CRM account. Visitors to your website can then fill up the forms which you’ve created offering something of value in return for their details – i.e. White paper, video, tutorial, etc. The details and lead information entered into forms for WordPress are then automatically imported directly into your sales CRM. This automated process ensures that the leads you are gathering are high-quality and can be scored accordingly.

LinkedIn Shuttle – Used by over 500 million people, across 200 countries, LinkedIn is one of the best sources of sales leads out there. The LinkedIn Shuttle, used in close conjunction with your CRM, allows you to easily tap into this vast resource and extract your targeted lead‘s information with one click of a button. Mining information such as; name, email address, location, company size, and telephone number automatically saves your salespeople valuable time spent on the monotonous task of manual data entry.

MailChimp and your CRM – Sending automated marketing and lead gathering emails directly from CRM-MailChimp integration lets you refine your lead gathering process even further. MailChimp lets you export contact lists, track user activity, and most importantly import lists of subscribers directly to your CRM.

Data import – Monotonous data entry eats up valuable sales time, that’s why salespeople tend to avoid the task like the plague. A smart sales CRM lets you quickly migrate contact databases from external sources, such as; XLS documents, CSV files, Google Contacts or Mac Address Book. This quick and easy data import option not only saves you valuable time but can also minimize the risk of duplicate contacts automatically.

API solutions – (Application programming interfaces) – Open API is the technical language which helps developers determine how various applications communicate and interact with one another. Using API with your CRM lets you create tools and features, which automate your lead gathering process.

Zapier integration – By integrating your CRM sales software with the external platform – Zapier – sales teams can automate a host of lead gathering tasks. Zapier doesn’t require the technical know-how of Open API and can automatically perform a host of time-saving lead mining tasks, such as; creating a new CRM contact when you receive an email from an unknown source,; or when you add a contact to MailChimp a new lead is created in your CRM. These functions/actions are called triggers and are set in motion remotely once a designated action has taken place. For example, once a new lead has been sourced a message can be sent to slack, or any other internal messaging service to inform your colleagues.

Can your CRM help you score your leads?

Organizing: Once the leads have been sourced and imported into your CRM, they need to be organized in order of priority. That’s where lead scoring using your CRM comes in.

Scoring: Pursuing every lead on your CRM contact list would be a futile strategy. Your leads need to be ranked, or ‘scored’ in order of priority – in other words, you need to concentrate on the leads most likely to qualify to deals. But how does your CRM help you prioritize those leads?

Prioritizing: In order to prioritize your leads, you will first need to assign a score to the lead. This score can be determined by the characteristics, which the leads may possess; location, company size, product, contact history, annual spending budget, a position of contact, and any other number of criteria relevant to your own sales process. Points can be awarded for each of these criteria offering an overall lead score.

Scoring the leads: A quality CRM can allow you to set the ground-rules for scoring your leads by using the criteria you’ve chosen. These leads can then be scored as to how likely they are to close a deal from each stage of the sales pipeline. With this knowledge and this score, leads which convert to deals and stay too long in a stage of the pipeline can be re-engaged or eliminated from the process.

CRM lead scoring and eventual qualification can also help your marketing team identify strategies which pay off, and those which don’t. Lead gathering tactics can then be altered based on the knowledge gained from CRM lead scoring practices, and results.

Smart CRM software can also use lead scoring to trigger important automated actions. If a lead satisfies a certain score an automatic email can be sent inviting that lead to take a demonstration of your product or engage in a conversation.

What is the future of CRM lead gathering?

Technology is evolving at an astronomical pace. CRM technology is no different and is only limited by the imagination of its designers and users.

Trying to guess where the future of CRM software lies can be a bit hit-and-miss, but already some major innovations have come to light.

Artificial intelligence – engage potential leads with natural-voice robotic conversations.

Augmented reality – offer 3D virtual demonstrations of products or services to entice leads.

Customised lead sourcing – better social media management and the use of big data can both help businesses focus their lead generation strategy.

Better lead filtering – AI could possibly hold the key to utilizing better lead filtering based on the analysis of collected data.

Improved analytics – With the help of big data, understanding the process of online engagement – Google Analytics for example – is constantly improving, helping marketing and sales teams to better target their leads.

Future messaging – AI can also help with lead interaction by creating customized, and automated messaging based on analysis of a prospect’s data.

These are just a few of the innovations already beginning to make their appearance in the world of CRM sales and marketing. It’s pretty safe to assume that many of these innovations will find their home as CRM software integrations, making lead gathering and scoring even more effective in the future.

Your CRM gives you the gift of time and productivity

Anything that saves you and your sales team time, and helps improve your sales strategy, has to be worth investment. A quality CRM that dramatically boosts your lead gathering process, and then goes one step further by enabling you to manage and prioritize those leads, has to be a tangible, and valuable addition to your sales efforts.

Regain lost time, and use your CRM to sell smarter, and faster, again and again.

This article was first appeared on MarTech Advisor

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Academy Day Trading Futures Trading Coach

We could aid you make a system based on your technique, risk criteria as well as run the risk of resources. Or if you are system vendor looking for system execution for your clients, you could utilize us for appropriate execution and also exceptional consumer service. You could enable Optimus to carry out all of the professions suggested to you by your trading system. Futures Truth is an independent company that has tracked readily readily available trading systems given that the 1980s. Futures Truth examinations trading systems in genuine time, not on historic data. According to Futures Truth, only concerning 45% of the tracked systems are lucrative in the long-lasting, while just 20% have actually exhibited a great risk/reward proportion. The minimal deposit to open a futures trading account differs by the broker. Any type of one system may go through market certain, system certain, or complicated certain risk. By trading multiple futures systems across different markets, one might lower market particular and also intricate particular danger. By trading systems with different entry as well as departure strategies, the trader could minimize system details risk. Nevertheless, the threat of trading can be substantial and each investor and/or trader need to take into consideration whether this is an appropriate financial investment. Previous performance is not necessarily a sign of future results.

Futures Trading Minimum Account Size

The systems we just described offer total profession automation, from initial configuration and also execution, through the setting as well as quit monitoring as well as up until the last closing of the setting. There are other scenarios where automation is integrated with manual profession execution that could be interesting the trader. These are: The viewed value of backtesting is rooted in the belief that historical tendencies repeat. Investors have actually been testing techniques on historic data for generations. The technique ended up being preferred with the introduction of individual computer systems and also Todd Rampe purpose-built system-testing software, such as System Writer, which advanced right into TradeStation. This software program as well as a database of historic data enabled those without a code-writing history to check trading system ideas. The broader understanding as well as approval of trading systems, in addition to the frustration lots of ran into when aiming to construct trading systems by themselves, helped the marketplace of third-party systems flourish throughout the 1990s. A lot of systems stop working because they lack a legitimate facility. Rather, the entry as well as leave parameters are originated from information mining. Data mining simply checks historic data for rules that would have operated in the past. Typically, such regulations are in shape precisely to the past and also have no hope of functioning any much better compared to random on unseen data. Rather, system development should begin with a concept that could be checked, analyzed and fine-tuned for application. This concept likewise indicates a various viewpoint on system testing itself: The objective of backtesting is not to produce a collection of theoretical revenue and loss data. It is to examine the credibility of the theory and the precision of the policies in capturing the property. We can let the computer trade for us if we have a hands-on back-up (a 2nd internet connection and/or the broker's profession desk number) as well as if we do not leave it neglected. We may not have to look at the screen regularly yet we have to be able to check employment opportunities and also match them versus the real placement at the brokers. Like all kinds of tools, futures trading systems, otherwise utilized effectively, can be harmful to the trader's economic health and wellness. The investor should evaluate tolerance to risky futures trading, take the chance of resources and the ability to withstand equity draw-down in addition to the price in regards to both money and time to trade in the futures markets. Another concern is recording real costs. While most properly developed software application not has this concern, it is still a problem for those that by hand test systems in spread sheets, such as Microsoft Excel. If a system purchases on a quit equivalent to the close plus one-third of the typical range over the last 3 durations, and if the average variety is 10, after that we are purchasing at the close plus 3.333. It trades in 0.25 tick dimensions if we are trading the E-mini S&P 500. This indicates the access differential should round up to 3.50. A beginning trader could not understand this if by hand crunching numbers, and it wasn't too lengthy ago that several professional programs made the exact same mistake. With time, such a mistake could include up to a sizable inconsistency. The only treatment offered to the investor in that case, brief of a back-up internet link, is a phone conversation to the broker. As a safety measure make certain that your broker's trade workdesk number is set into your land line phone as well as your mobile phone. One of the key components of a futures trading system is the ability for a trading system to hold up in time. We encourage clients to take their time and also research results before they open a trading account. The only true examination of a system is to see just how it carries out in actual trading where market slippage and also trading price are a component of the document. Or if you are system supplier looking for system implementation for your customers, you could use us for proper execution as well as remarkable consumer solution. You could enable Optimus to carry out all of the professions recommended to you by your trading system. Any one system may be subject to market certain, system details, or facility certain danger. By trading systems with different entry and also leave strategies, the trader may lower system details danger. One of the essential elements of a futures trading system is the capacity for a trading system to hold up over time.

Todd Rampe's Futures Trading

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Academy Day Trading Futures Trading Coach

Futures Trading SystemsWe can assist you make a system based on your methodology, danger parameters as well as risk resources. We deal with a number of designers with competence in Genesis Trade Navigator, TradeStation, as well as Traders Studio. We can also create strategies in C++, C #, Multicharts as well as various other programming languages. We have access to professional trading developers and programmers that can turn your concepts into automated trading approaches. Or if you are system supplier searching for system execution for your customers, you can utilize us for proper implementation and exceptional customer care. You can enable Optimus to perform all of the professions advised to you by your trading system. All you need to do is kick back and also enjoy your system work for you! This is an easy service that takes the problem from performing your very own professions. If you need to talk with somebody who can aid you make this choice, call us toll-free at 1.800.771.6748.

Futures Trading Courses

Futures Truth is an independent company that has actually tracked readily offered trading systems because the 1980s. Currently, it tracks greater than 500 systems. Futures Truth tests trading systems in actual time, out historic information. This protects against the alteration of rules over time and also far better simulates guideline implementation in real market conditions, such as periods of high volatility. According to Futures Truth, just regarding 45% of the tracked systems pay in the long-term, while only 20% have exhibited a good risk/reward ratio. These numbers most likely are better compared to the wider population's because only those vendors truly certain in their logic turn it over to Futures Truth for real-time evaluation as well as public critique.

Futures Trading Software

The minimum deposit to open up a futures trading account varies by the broker. Furthermore, the prospective investor must only take Todd Rampe into consideration opening a futures account when the trader has adequate danger funding, as a result of the leverage in futures trading. This could be based upon the moment of day as well as day of the week, on arranged information events or on day-to-day trading outcomes. For instance the system must only trade for one hour beginning at the time the equities markets open, or it ought to just trade until a particular earnings purpose is attained or a loss limit is reached. Any kind of one https://www.referralkey.com/academydaytrading system could be subject to market certain, system specific, or complicated specific danger. By trading numerous futures systems throughout different markets, one could reduce market complex as well as particular particular threat. By trading systems with different entry and also leave techniques, the investor could reduce system details risk. The risk of trading can be considerable and each financier and/or trader have to take into consideration whether this is an ideal investment. Previous performance is not always indicative of future results.

Futures Trading Minimum Account Size

The systems we just described offer full profession automation, from first setup as well as implementation, via the iglobal.co/united-states/las-vegas/todd-rampe position and also stop management as well as till the final closing of the setting. There are other circumstances where automation is combined with hand-operated profession execution that can be appealing to the trader. These are: The perceived worth of backtesting is rooted in the idea that historic propensities repeat. Traders have been testing approaches on historical information for generations. The technique ended up being prominent with the advent of individual computers and purpose-built system-testing software, such as System Writer, which advanced into TradeStation. This software as well as a database of historical data permitted those without a code-writing history to examine trading system concepts. The broader understanding as well as approval of trading systems, along with the stress several experienced when aiming to build trading systems by themselves, helped the market of third-party systems grow throughout the 1990s. Several systems stop working since they do not have a legitimate premise. Instead, the entry and also departure parameters are originated from information mining. Information mining simply scans historic data for policies that would certainly have operated in the past. Typically, such policies are in shape precisely to the past and also have no hope of functioning any better compared to random on hidden data. Instead, system growth should start with a concept that could be tested, examined and also fine-tuned for application. This concept likewise implies a various perspective on system screening itself: The objective of backtesting is not to generate a collection of theoretical earnings and loss data. It is to evaluate the legitimacy of the theory as well as the precision of the regulations in capturing Academy Day Trading the premise. We can let the computer trade for us if we have a hands-on back-up (a second net link and/or the broker's trade workdesk number) as well as if we don't leave it unattended. We could not need to look at the display continuously yet we require to be able to scan open settings and match them against the real placement at the brokers. Like all kinds of devices, futures trading systems, otherwise utilized effectively, can be dangerous to the trader's financial health. The trader needs to examine tolerance to risky futures trading, run the risk of resources as well as the ability to hold up against equity draw-down along with the price in terms of both time and also money to sell the futures markets. An additional problem is tape-recording actual prices. While most expertly created software application no much longer has this problem, it is still an issue for those who manually evaluate systems in spread sheets, such as Microsoft Excel. For instance, if a system acquires on a quit equal to the close plus one-third of the average array over the last 3 durations, and also if the average array is 10, then we are getting at the close plus 3.333. It trades in 0.25 tick dimensions if we are trading the E-mini S&P 500. This indicates the entry differential must assemble to 3.50. A beginning trader could not recognize this if by hand crunching numbers, as well as it wasn't too lengthy ago that many professional programs made the exact same error. With time, such a mistake can amount to a sizable disparity. The only remedy readily available to the trader because instance, except a backup web connection, is a telephone call to the broker. As a safety measure make certain that your broker's trade workdesk number is programmed right into your land line phone and your cell phone. Among the crucial elements of a futures trading system is the capability for a trading system to hold up with time. We urge customers to take their time and also research results before they open up a trading account. The only true examination of a system is to see exactly how it does in real trading where market slippage as well as trading price belong of the document. Or if you are system vendor looking for system execution for your customers, you could use us for appropriate execution and remarkable customer service. You could allow Optimus to carry out all of the professions suggested to you by your trading system. Any one system could be subject to market specific, system certain, or complex details risk. By trading systems with different entrance and also leave techniques, the investor might reduce system particular danger. One of the key aspects of a futures trading system is the capacity for a trading system to hold up over time.

Todd Rampe Futures Trading Minimum Account Size

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Benefits Of  Data Entry Outsourcing And Consulting Services

Today’s generation is much faster forward,  also because of the reason that everyone has a shortage of time. Everybody has to reach to their destination on time and have to complete their work in a given time. Everybody is provided with some work targets which have to be completed in the required time. Especially, the work related to keeping records of data, Data Entry, Data processing, etc. This is not an easy task which can be completed in a given time and that too when it’s done manually.No need to worry now. Global Data Entry Solutions offer incorporated data entry services worldwide, Global Data Entry Solutions, now provide a scale of outsourcing solutions using the most up-to-date techniques, all over the world.

   We believe in functioning within practical margins and is projected to convey high quality, reasonable data management & data entry services to contributors around the globe.  Data Conversion Services India, the service provided by Global Data Entry Solution is an expert, at changing data from an exacting layout to another one, within a small time frame with vast precision. We can change any sort of data, periodicals, reports, journals, catalogs, and financial statements into a lavish, unified set of the desired layout. Data conversion is the conversion of computer data from one format to another. Throughout a computer environment, data is encoded in a variety of ways. Data is encoded in terms of security that can be only decoded by the authorized personnel. It is a critical process in a migration of information.

  Data Entry Solutions Company provides the following Data Entry solutions:-

•    From product catalogs to web based systems.

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High-end data entry work with smaller turnaround time is our main motive so that we may not waste much time of our clients and not let them wait more with some data entry problems.

  Data Entry Outsourcing and Consulting Services will help to reduce your business operating costs. You need to assess the potential service provider depending upon the cost benefits to the company. Often services will need to be scaled up in the future, thus tentative costs should be kept in mind too during the search of Data Entry service providers. Data Entry Outsourcing and Consulting Services are the time savior. Global Data Entry Solutions is a unique and top data entry service provider company which has been offering the offshore outsource services to our worldwide clients since last 4 years.

    Files that have been piling for the days and months are to be all cleared by Data Entry Outsourcing and Consulting Services. Also, Data Entry Company in India relies on automated software where manual work is least and thus chances of human errors are almost negligible. Global data entry solutions have been serving clients of various business domains for many years. We have specialized in various types of data entry services like insurance claims entry, PDF document indexing, data mining and warehousing, legal documentation, indexing of vouchers and documents, and much more.

To experience liable and unique services of Data Entry and Outsourcing Solutions, please feel free to Call  +91 7948933588,  +91 98797 60342 or visit  http://www.globaldataentrysolutions.com/data-conversion-services/.

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Know the Advantages of Data Entry Outsourcing and Consulting Services.

For capturing information entered into data fields and convert it into an electronic format we need a vast knowledge and experience related to that. This can be done manually or automatically, but the general process is that hard copy data is filled out by humans and then "captured" from their respective fields and entered into a database or other electronic format. For carrying out operations on data, especially by a computer, to retrieve, transform, or classify information, we need an Expert personnel. For collecting and manipulating of items of data, we need a help of Data Entry Service Provider. Global Data Entry Solutions is a unique and top data entry service provider company which has been offering the offshore outsource services to our worldwide clients since last 4 years.

Global Data Entry Solutions offer precise and well-timed Data Entry Services in India for a wide range of industries and companies. Our highly knowledgeable professionals have the ability to manage the great amounts of data entry and scrutiny. Outsource your data management function to one of the top data entry firms in India and pay attention to your foundation procedures. The data of every firm or company varies and hence it is required that the data company we chose, is flexible enough to adapt to changes in its services.

   However, some business owners consider outsourcing as the added expense of running a company and hence tend to avoid this solution. For all those who think hiring a third party is a liability or are confused whether they should hand over the important documents to some unknown agency, this blog will make you clear all these doubts. Data Entry Outsourcing and Consulting Services are the time saviors. You may not need to always stick with the data entry works when the documentation work is in good hands. Among various reasons, specialization and cost advantage are the major reasons companies need to outsource offshore data entry services. However, choosing an appropriate data entry partner is a difficult task which should be done wisely considering various parameters.

It is important to choose only those outsourcing companies that have specialized in data entry, data processing, data conversion and Graphics Design Services in India. They have highly experienced and skilled staff to run required business operations with high precision and in a rapid manner. Also, companies which rely on advanced technology and latest data entry software are more capable of delivering the finest quality of service. There is no scope of errors when you have professionals to take care of your work. They have a sharp eye for perfection and thus you would no longer have to waste time in corrections or to re-do the whole work. You need not hire a separate staff to take care of the admin task, or invest in technology or then their maintenance to get the work done. By hiring Data Entry Outsourcing and Consulting Services you can cut down all those costs since everything would be done by these agencies which are already equipped with the necessary tools and technology.

Files that have been piling for the days and months are to be all cleared by Data Entry Outsourcing and Consulting Services. Also, Data Entry Company in India relies on automated software where manual work is least and thus chances of human errors are almost negligible. Global data entry solutions have been serving clients of various business domains for many years. We have specialized in various types of data entry services like insurance claims entry, PDF document indexing, data mining and warehousing, legal documentation, indexing of vouchers and documents, and much more. For more queries visit http://www.globaldataentrysolutions.com or call +91 7948933588, +91 98797 60342