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How Complicated Data of a Luxury Retail Group of Companies Turned Into Beautifully Visualized Data
The Situation
The finance team of a luxury retail group of companies would spend more than 25 days to generate important financial reports that were critical for taking important business decisions. Most of the data to create the financial reports, was collected from Microsoft Dynamics AX 2012 ERP directly.
Generating reports after pulling the data from the ERP was quite a tedious task, thus delaying reporting and further delaying important decision-making.
The same situation applied to marketing and sales departments as well.
Click here to get more info about: business intelligence dashboard
The Problem
Taking key business decisions was much slower in the company as a result of redundant investment of time in generating important Business Intelligence reports. The data came from disparate data sources, considering the group of companies had eight independent finance teams.
The retail giant’s IT team could facilitate pulling information from most of this data sources by using default MS Dynamics AX Operational Reports , the IT team couldn’t identify & automate the exact methodology to pull data from MS Dynamics AX ERP.
Additionally, there were a lot of eliminations in financial consolidation, considering multiple transactions between the different subsidiaries of the luxury retail group of companies, making ad-hoc analysis a further problem.
Talk to us directly to know more details about the case study
The Objective
To optimize the BI reporting process and cut down wastage of time in order to enable swift decision-making for key business functions. To enable this, the company required to create a single source of truth from disparate and isolated data sources. Extract, Transform and Load (ETL) the data from various sources for data modelling to generate BI reports.
The Solution
Data Semantics identified that generating BI reports for this retail giant required automating the data extraction & Transformation process.
The team of developers used MS Integration Services to extract & automate the data from Microsoft Dynamic AX12. Team also used Python to pull data automatically from sources like CRMs (Salesforce), Google Analytics, Social Media and MS Excel. This was quite a breezy affair.
The main challenge was to pull the data from Microsoft Dynamics AX ERP as the IT team of the retail giant couldn’t identify the exact Framework & tables to pull the data.
Pulling data from such an elaborate ERP system can be daunting task as it requires specialized expertise. MS Dynamics AX shows limited indications in the database to identify the exact data tables , making it difficult to automate data extraction.
Data Semantics CTO, Imaduddin Shah, having massive experience in Microsoft Dynamics and Azure ecosystem, could identify the exact tables from the MS Dynamics AX database to pull the data from. This critical knowledge led to saving tons of time and expediting the building of data-pulling automation algorithms.
BI DW Architecture Architecture: BI Reporting on Tableau (ERP as main data source)
The team had to write a complex algorithm to automate eliminations in financial consolidations, especially considering the multi-currency transaction complexities from subsidiaries operating across the globe.
After building the automation systems, the Data Semantics experts made it possible to deliver the data for creating BI reports on Tableau.
Our BI experts designed beautiful dashboards on Tableau, indicating important business metrics to be easily readable for business managers across Finance, Marketing and Sales departments of the luxury retail group of companies.
For more info visit here: tableau pricing
The Outcome
The automation algorithms to pull the data on Microsoft SQL Server from disparate sources and aggregate it in the Data Warehouse expedited the reporting process, including financial consolidation.
The luxury retail group of companies now saves 25 critical days in their reporting process, leading to faster decision-making.
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How We Built the Facial Recognition System from Scratch
Whitepaper:How We Built the Facial Recognition System from Scratch and How Does It Matter to Your Business?
Click here to get more info about: business intelligence consulting services
Facial Recognition, once a far-fetched thought, has come a ground-breaking reality, where businesses across all industries are employing this technology to perform daily operational tasks.
We developed and designed Facial Recognition solution by focusing on various business scenarios.
After much research and hard-work, we succeeded to develop and implement a highly accurate Facial Recognition solution for multiple business use cases.
For more info visit here: tableau pricing
This solution is currently used by our clients from across the globe.
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The Chatbot That Does It All! Performing Multiple Business Operations with a Single Chatbot Now Possible
Data Semantics Innovation Lab has developed a chatbot to address the complex management structure, enabling multiple user access levels for a single user. The bot further specializes in identifying the nature of the query by processing massive amounts of information to deliver relevant answers swiftly.
Click here to business intelligence consulting services
What does that mean?
In a typical organization, an employee can be a manager in one portal and a reportee in another portal. The newly developed chatbot smartly understands a user’s access level and delivers information based on their privileges, thus enabling information security.
How does it work?
The user role is derived from the configuration of integrated portals at an organization. The bot enables configuration of custom roles to be assigned to different users. ‘Intents’ or in other words, the intention of your query, can be mapped to user roles, if any restrictions are necessary for the intent. For example, if you ask the bot to retrieve your personal details, the intent remains, ’fetch personal details’.
The bot is designed to fit in any business function without any major change in its framework.
“Essentially, the same bot can be used in multiple business functions. How cool is that!”
What about conversation flows?
Every organization’s complex management structure demands diversified communication models and conversation flows. The bot developed at DS Innovation Lab specializes in processing massive amounts of information and delivering it in a user-friendly manner, with reaction times faster than humans.
What’s special about the bot’s conversations?
It Identifies relevant information to deliver the message in plots, so that it’s fast and easy to consume for the user. It delivers information from data tables, which is far more efficient than normal tables as it allows filtering and sorting by default. It is designed to identify the exact query, regardless of dynamic nature of questions.
The workflow of this bot is currently tested for Human Resource and Sales functions. The testing has proved that it is flexible enough to be customized to fit multiple requirements of an organization.
Picture: Pixabay – geralt
What we learnt from testing the bot for HR and Sales business functions?
We took a typical scenario of an enterprise where payroll details of employees are managed on ERP while timesheets are managed on another portal.
The User could access information from multiple portals seamlessly with ONE login ID The bot was integrated with different portals of the organisation which enabled the user to access different portals from single login, based on the access configuration in the portal. The bot was integrated on Zoho ERP, Microsoft Dynamics 365, greytHR and Salesforce at the same time.
New intents could be added easily without having to change the code or any re-deployments
Another highlight of our bot was the ease with which a new intent can be added. It was capable of handling the maintenance of existing intents as well as any new intents without having to change the code and hence avoiding re-deployment.
This was achieved easily through Admin Console using its user-friendly interface. The console allows adding new intents with a set of utterances (various ways of asking the same query is termed as utterance). Also, it allows configuring user roles that have access to relative intents.
Picture: Pixabay – TheDigitalArtist
The bot could manage daily tasks like requests and approvals in a breeze
The bot can also be used for performing actions like booking a meeting in Outlook Calendar. All necessary information like meeting time, location and invitees will be taken from the user and the meeting will be scheduled. Also, managers can approve timesheets and leave requests from the bot directly. In short, just like we retrieve information from the portals it is possible to write back to the portals too.
The bot displays Power BI Reports in chat UI
This is yet another striking feature of the bot. It is capable of bringing in Power BI dashboards into the bot UI within seconds of request.
The chatbot has empathy
This chatbot is developed to handle conversations in a friendly manner. It keeps a log of all the unanswered questions and understands if any query or request can be attended to immediately.
For More Information : tableau pricing
The Bot engine is built with 3 different configurations.
Python engine which uses sequence matcher for identifying the intents. Google dialogue flow which is Google’s powerful engine where we can configure the intents and slots. LUIS, which is Microsoft’s NLP engine that detects all the intents provided.
Chatbots are the friendliest way to execute tasks and deliver support to the users. The chatbot provides seamless assistance to simple enquiries and performs complex tasks effortlessly.
Employing and inculcating a chatbot in your business processes has proven to increase efficiency and improve the happiness quotient of employees. Feel free to reach out to use if you want to try this chatbot for your organization.
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How a Telecom Giant Used Robotic Process Automation (RPA) for Targeted Advertising
The Situation
One of the largest mobile network operators with more than 260 million subscribers, intended to segment their massive customer base for targeted advertising.
The Problem
Automating customer segmentation for targeted advertising that involved processing hundreds of gigabytes of data.
Click here to business intelligence consultant
The Solution
In this challenging environment of segmenting millions of customers, Data Semantics identified that, the situation needs advanced Analytics solutions to identify the buyer persona of the client for targeted advertising.
Data Semantics built advanced bots to scan the content consumed by the subscribers to precisely identify the area of interest of each subscriber.
Built using Hadoop, Spark SQL on SCALA ecosystem, these advanced bots scanned about 100 Gigabytes of consumer data, every week.
On top of identifying the consumer data, Data Semantics wrote data science algorithms to segment subscribers into buyer personas from, each of the telecom network circles.
The Outcome
This activity generated successful traction in terms of generating revenue by acquiring sizable clientele for advertising to their network’s subscribers, in turn, generating ad revenue by an automated process.
For More Information : tableau pricing
Team Involved: Data Scientists, Data Engineers, RPA Developers
Technology Used: Hadoop on Hortonworks, Scala on Spark SQL, Hive, Talend BD. Innovative Data Science algorithms.
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People Automation System – A Comprehensive way to Automate the HR Functions of your Company
It is quite redundant to hire another human resource to manage human resource processes, when technology today, allows us to automate such mundane processes.
Introduce People Automation System (PAS) into your HR processes to enable HR Executives and People Associates, to form real human connections with your employees; not to perform mundane documentation tasks.
Click here to tableau dashboard
Benefits of PAS 1. Improves employee interaction experience
Smoothen the workflow of employee interaction by introducing People Automation System (PAS) into your HR processes. Improve the happiness quotient of your employees on the floor by reducing stress from daily mundane HR processes. 2. Increases productivity
Enhance the productivity of HR processes and smoothen the work-flow of your employees by employing hassle-free automated systems to hire, track, engage and train your workforce. 3. Saves unnecessary expenses
Save unwanted expenses on recruitment agencies, stationary materials and other legacy systems by investing in modern HR process automation systems. 4. Keeps Office and Employees Safe
Track employee behaviour and safeguard your office space and employees in any office or factory scenario by using the modern-day facial recognition system.
For more information visit business intelligence solutions
5. Saves Time and Human Resources
Automate the documentation processes of your employees to save time and extra human resources allocated for documentation.
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How to Read Your Business Insights in Real Time
Although newly developed Business Insights tools like Power BI, Tableau or Qlik Sense have come close to producing reports swiftly from large amounts of data, we are yet to evolve to meet the key demand in businesses — reading data in real time.
Problems in interpreting Business Insights
Reading business insights can be quite a cumbersome task, especially when your business operations produce large amounts of data.
Click here to get more info about business intelligence dashboard
No access to relevant information
Stakeholders in a company have access to limited KPI metrics restricting them to have prompt access to other pertinent business information. In some cases, learning about these metrics can take up to 3 days.
Take boardroom meetings for an instance. Most boardroom meetings have essential stakeholders from different departments to discuss the performance of their operations and take critical business decisions. Such stakeholders are puzzled about the relevance of data with respect to other departments until they meet. This leads to tautological dependencies and misuse of valuable time.
Limited knowledge of Business Insights tools
Business leaders and Business Analysts need to constantly learn about new Business Intelligence tools and persistently strive to adjust to new ecosystems. This is highly inconvenient in terms of the time invested and the effort required for them to generate reports, instead of imbuing time for decision-making.
Challenge to gather data from disparate data sources
It is difficult to integrate huge amounts of data, especially when it’s gathered from disparate data sources for creating BI reports. Configuring BI systems to generate reports for multiple business operations is an intricate task.
For More Information : tableau consultant rates
Unfriendly user experience on Business Insights tools
The unfriendly user experience of BI tools consumes a lot of unnecessary time, leading to cumbersome and unpleasant experiences to generate BI reports. Compromised UX simply doesn’t make sense! It often leads to procrastination or not achieving your end goal with BI applications.
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How a Telecom Giant Used Robotic Process Automation (RPA) for Targeted Advertising
The Situation
One of the largest mobile network operators with more than 260 million subscribers, intended to segment their massive customer base for targeted advertising.
Click here to business intelligence solutions
The Problem
Automating customer segmentation for targeted advertising that involved processing hundreds of gigabytes of data.
The Solution
In this challenging environment of segmenting millions of customers, Data Semantics identified that, the situation needs advanced Analytics solutions to identify the buyer persona of the client for targeted advertising.
Data Semantics built advanced bots to scan the content consumed by the subscribers to precisely identify the area of interest of each subscriber.
Built using Hadoop, Spark SQL on SCALA ecosystem, these advanced bots scanned about 100 Gigabytes of consumer data, every week.
On top of identifying the consumer data, Data Semantics wrote data science algorithms to segment subscribers into buyer personas from, each of the telecom network circles.
For More Information : tableau pricing
The Outcome
This activity generated successful traction in terms of generating revenue by acquiring sizable clientele for advertising to their network’s subscribers, in turn, generating ad revenue by an automated process.
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How to Read Your Business Insights in Real Time
Although newly developed Business Insights tools like Power BI, Tableau or Qlik Sense have come close to producing reports swiftly from large amounts of data, we are yet to evolve to meet the key demand in businesses — reading data in real time.
Problems in interpreting Business Insights
Reading business insights can be quite a cumbersome task, especially when your business operations produce large amounts of data.
Click here to get more info about tableau pricing
No access to relevant information
Stakeholders in a company have access to limited KPI metrics restricting them to have prompt access to other pertinent business information. In some cases, learning about these metrics can take up to 3 days.
Take boardroom meetings for an instance. Most boardroom meetings have essential stakeholders from different departments to discuss the performance of their operations and take critical business decisions. Such stakeholders are puzzled about the relevance of data with respect to other departments until they
Limited knowledge of Business Insights tools
Business leaders and Business Analysts need to constantly learn about new Business Intelligence tools and persistently strive to adjust to new ecosystems. This is highly inconvenient in terms of the time invested and the effort required for them to generate reports, instead of imbuing time for decision-making.
Challenge to gather data from disparate data sources
It is difficult to integrate huge amounts of data, especially when it’s gathered from disparate data sources for creating BI reports. Configuring BI systems to generate reports for multiple business operations is an intricate task.
For More Information : business intelligence dashboard
Unfriendly user experience on Business Insights tools
The unfriendly user experience of BI tools consumes a lot of unnecessary time, leading to cumbersome and unpleasant experiences to generate BI reports. Compromised UX simply doesn’t make sense! It often leads to procrastination or not achieving your end goal with BI applications.
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Why and How Should You Automate Your Manufacturing Operations?
Introduce automation to increase profitability in your manufacturing business. Enable your equipment, people and processes to function efficiently by introducing automated reflex actions in your manufacturing operations. Upgrade your factories with Manufacturing Reflex System (MRS) to automate your manufacturing processes and to gain acute insights about your business functions in real-time.
Employ our world-class Artificial Intelligence and Machine Learning algorithms that deliver supremely automated and highly accurate results for a wide spectrum of use cases in manufacturing industry. Employ yourself, only for effective decision making; not to perform mundane tasks.
Visit here to know about tableau dashboard
Featured Solutions of Manufacturing Reflex System 1. Predictive Maintenance Utilize assets to maximum potential
Highly accurate Predictive Maintenance models have proven to help our clients in several industries to achieve high-asset-utilization and savings in operational expenditure. Our predictive maintenance solution accurately predicts if or when an equipment failure may occur and further suggests preventive measures to perform maintenance.
2. Useful lifetime analysis of engine Foresee the life of your valuable machinery
Predict the life of your machinery and utilize your machines to their full potential by using our highly accurate useful lifetime analysis solution. Calculate risks at an early stage and save your financial plans from unforeseen investments in your equipment.
3. Predictive Maintenance with IoT/Sensor data Track the health status of your machines in real-time
Evaluate the performance of your machinery, equipment and important assets in real-time by using smart IoT condition-monitoring systems. Install and deploy predictive maintenance sensors based on IoT to monitor the status of your equipment and to save your business from multiple operational losses.
4. Employee Attendance Track your employees effortlessly in real-time
Automatically register the attendance of your employees and track all the employees on the shop floor in real-time. Reduce dependencies on tedious legacy systems and upgrade to a simpler and effective attendance system using Facial Recognition.
5. Workplace Safety Make your factories safer than ever
Track the safety of your employees by making using our Facial Recognition technology in your factory. Receive real-time alerts if either of your workmen are not following the safety protocol by ignoring any safety measures.
6. Document Classification Employ humans for better tasks
Automate the process of archiving your documents to make them easily accessible across digital platforms. Avoid utilizing redundant human resources for manual work and make your documentation processes highly organized.
7. Invoice Automation Avoid errors and reduce losses from inaccurate invoicing
Automate your Accounts Payable process by using our Invoice Automation systems to reduce redundant human efforts and to avoid human errors. We employ our highly accurate Machine Learning (ML) algorithms and Natural Language Processing (NLP) systems to deliver error-free automation.
8. Business Intelligence Listen to your business insights in real-time from anywhere
Gain valuable insights about your business operations in real-time from anywhere. You can choose to read your business insights or listen to them from your personal voice assistant, anywhere.
Benefits of Manufacturing Reflex System 1. Allows focused decision-making Focus on important decision-making rather than, investing your precious time in worrying about your machinery, documentation or business processes.
2. Predicts threats or anomalies Predict the lifetime of your equipment or foresee any anomalies in your machinery at your manufacturing plants by upgrading.
3. Makes operations safe and secure Track workplace safety of your people at the shop floor and be aware of any threats in real-time. Protect your shop floor from any unauthorized access and get notified about such threats immediately.
For more info visit here: power bi dashboard
4. Keeps you up-to-date Have all the important information about your manufacturing business at your fingertips. Stay updated in real-time about your business operations.
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