#DataFiltering

[jinactusconsulting]

Transforming Data into Actionable Insights with Domo

In today's data-driven world, organizations face the challenge of managing vast amounts of data from various sources and deriving meaningful insights from it. Domo, a powerful cloud-based platform, has emerged as a game-changer in the realm of business intelligence and data analytics. In this blog post, we will explore the capabilities of Domo and how it enables businesses to harness the full potential of their data.

What is Domo?  

Domo is a cloud-based business intelligence and data analytics platform that empowers organizations to easily connect, prepare, visualize, and analyze their data in real-time. It offers a comprehensive suite of tools and features designed to streamline data operations and facilitate data-driven decision-making. 

Key Features and Benefits:

Data Integration: Domo enables seamless integration with a wide range of data sources, including databases, spreadsheets, cloud services, and more. It simplifies the process of consolidating data from disparate sources, allowing users to gain a holistic view of their organization's data.

Data Preparation: With Domo, data preparation becomes a breeze. It offers intuitive data transformation capabilities, such as data cleansing, aggregation, and enrichment, without the need for complex coding. Users can easily manipulate and shape their data to suit their analysis requirements.

Data Visualization: Domo provides powerful visualization tools that allow users to create interactive dashboards, reports, and charts. It offers a rich library of visualization options and customization features, enabling users to present their data in a visually appealing and easily understandable manner.

Collaboration and Sharing: Domo fosters collaboration within organizations by providing a centralized platform for data sharing and collaboration. Users can share reports, dashboards, and insights with team members, fostering a data-driven culture and enabling timely decision-making across departments.

AI-Powered Insights: Domo leverages artificial intelligence and machine learning algorithms to uncover hidden patterns, trends, and anomalies in data. It provides automated insights and alerts, empowering users to proactively identify opportunities and mitigate risks.

Use Cases:

Sales and Marketing Analytics: Domo helps businesses analyze sales data, track marketing campaigns, and measure ROI. It provides real-time visibility into key sales metrics, customer segmentation, and campaign performance, enabling organizations to optimize their sales and marketing strategies. 

Operations and Supply Chain Management: Domo enables organizations to gain actionable insights into their operations and supply chain. It helps identify bottlenecks, monitor inventory levels, track production metrics, and streamline processes for improved efficiency and cost savings.

Financial Analysis: Domo facilitates financial reporting and analysis by integrating data from various financial systems. It allows CFOs and finance teams to monitor key financial metrics, track budget vs. actuals, and perform advanced financial modeling to drive strategic decision-making.

Human Resources Analytics: Domo can be leveraged to analyze HR data, including employee performance, retention, and engagement. It provides HR professionals with valuable insights for talent management, workforce planning, and improving overall employee satisfaction.

Success Stories: Several organizations have witnessed significant benefits from adopting Domo. For example, a global retail chain utilized Domo to consolidate and analyze data from multiple stores, resulting in improved inventory management and optimized product placement. A technology startup leveraged Domo to analyze customer behavior and enhance its product offerings, leading to increased customer satisfaction and higher revenue.

Domo offers a powerful and user-friendly platform for organizations to unlock the full potential of their data. By providing seamless data integration, robust analytics capabilities, and collaboration features, Domo empowers businesses to make data-driven decisions and gain a competitive edge in today's fast-paced business landscape. Whether it's sales, marketing, operations, finance, or HR, Domo can revolutionize the way organizations leverage data to drive growth and innovation.

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[systemwebtech]

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[t-baba]

How to Use jQuery’s $.ajax() for Asynchronous HTTP Requests

Nowadays, developers tend to move away from jQuery and its handy methods for DOM manipulation and Ajax requests that made it hugely popular. Regarding the Ajax requests, the Fetch API, or alternatively, the Axios library, are now more popular tools for performing asynchronous operations. That said, jQuery is still very much alive and powers almost 70,000 websites worldwide. This means that knowing how to use jQuery is still valuable in the day-to-day work of developers, like supporting legacy codebases or maintaining projects that use jQuery as an important dependency.

Ajax is a technology that allows developers to make asynchronous HTTP requests without the need for a full page refresh. To make the process less cumbersome than it would be in pure JavaScript, devs have been using the jQuery library for years. In my article An Introduction to jQuery’s Shorthand Ajax Methods, I discussed some of jQuery’s most-used Ajax shorthand methods: $.get(), $.post(), and $.load(). They are convenient methods for making Ajax requests in a few lines of code.

Sometimes, we need more control over the Ajax calls we want to make. For example, we want to specify what should happen in case an Ajax call fails or we need to perform an Ajax request but its result is only needed if retrieved within a certain amount of time. In such situations, we can rely on another function provided by jQuery, called $.ajax(), that is the topic of this tutorial.

The $.ajax() Function

The jQuery $.ajax() function is used to perform an asynchronous HTTP request. It was added to the library a long time ago, existing since version 1.0. The $.ajax() function is what every function discussed in the previously mentioned article calls behind the scene using a preset configuration. The signatures of this function are shown below:

$.ajax(url[, settings]) $.ajax([settings])

The url parameter is a string containing the URL you want to reach with the Ajax call, while settings is an object literal containing the configuration for the Ajax request.

In its first form, this function performs an Ajax request using the url parameter and the options specified in settings. In the second form, the URL is specified in the settings parameter, or can be omitted, in which case the request is made to the current page.

The list of the options accepted by this function, described in the next section, is very long, so I’ll keep their description short. In case you want to study their meaning in depth, you can refer to the official documentation of $.ajax().

The settings Parameter

There are a lot of different options you can specify to bend $.ajax() to your needs. In the list below you can find their names and their description sorted in alphabetic order:

accepts: The content type sent in the request header that tells the server what kind of response it will accept in return.

async: Set this option to false to perform a synchronous request.

beforeSend: A pre-request callback function that can be used to modify the jqXHR object before it is sent.

cache: Set this option to false to force requested pages not to be cached by the browser.

complete: A function to be called when the request finishes (after success and error callbacks are executed).

contents: An object that determines how the library will parse the response.

contentType: The content type of the data sent to the server.

context: An object to use as the context (this) of all Ajax-related callbacks.

converters: An object containing dataType-to-dataType converters.

crossDomain: Set this property to true to force a cross-domain request (such as JSONP) on the same domain.

data: The data to send to the server when performing the Ajax request.

dataFilter: A function to be used to handle the raw response data of XMLHttpRequest.

dataType: The type of data expected back from the server.

error: A function to be called if the request fails.

global: Whether to trigger global Ajax event handlers for this request.

headers: An object of additional headers to send to the server.

ifModified: Set this option to true if you want to force the request to be successful only if the response has changed since the last request.

isLocal: Set this option to true if you want to force jQuery to recognize the current environment as “local”.

jsonp: A string to override the callback function name in a JSONP request.

jsonpCallback: Specifies the callback function name for a JSONP request.

mimeType: A string that specifies the mime type to override the XHR mime type.

password: A password to be used with XMLHttpRequest in response to an HTTP access authentication request.

processData: Set this option to false if you don’t want the data passed in to the data option (if not a string already) to be processed and transformed into a query string.

scriptAttrs: Defines an object with additional attributes to be used in a “script” or “jsonp” request.

scriptCharset: Sets the charset attribute on the script tag used in the request but only applies when the “script” transport is used.

statusCode: An object of numeric HTTP codes and functions to be called when the response has the corresponding code.

success: A function to be called if the request succeeds.

timeout: A number that specifies a timeout (in milliseconds) for the request.

traditional: Set this to true if you wish to use the traditional style of param serialization.

type: The type of request to make, which can be either “POST” or “GET”.

url: A string containing the URL to which the request is sent.

username: A username to be used with XMLHttpRequest in response to an HTTP access authentication request.

xhr: A callback for creating the XMLHttpRequest object.

xhrFields: An object to set on the native XHR object.

That’s a pretty long list, isn’t it? Well, as a developer, you probably stopped reading this list at the fifth or sixth element I guess, but that’s fine. The next section will be more exciting, because we’ll put the $.ajax() function and some of these options into action.

Continue reading How to Use jQuery’s $.ajax() for Asynchronous HTTP Requests on SitePoint.

by Aurelio De Rosa via SitePoint https://ift.tt/2SD6ZB8

[randomlabs]

DataFilter

[craigbrownphd-blog-blog]

Fresh from the Python Package Index

• tensorlight • airconditioner Yaml based DAG configurator for airflow • algorthm A package for studying various Algorithms and visualizing the operations • auditservices A Docker and AWS utility package • autocluster Automated machine learning toolkit for performing clustering tasks. • baggingrnet Library for Bagging of Deep Residual Neural Networks • basic-matrix-algebra Performs basic matrix algebra • cranlogs CRAN download counts for R packages • datafilter Data Filter is a highly extensible and performant Python library that filters data based on user-defined flags and filters. • elastic-site-search Elastic Site Search API Client for Python • faro An SQL-focused data analysis library for Python. faro is a wrapper for the Python SQLite API, and aims to be a SQL-driven data analysis library for Pyt … • gqlclient Client library for making graphql calls. A pythonic interface for making requests to a GraphQL server using pydantic models to spare you from string ma … • hibachi Feature selection methods for PyTorch • karajan A conductor of aggregations in Apache Airflow • kineticspy A small package for robot simulation. Robotics is a very vast branch of engineering involoving computer, mechanical and electrical engineering. While t … http://bit.ly/2DGMYBJ

[craigbrownphd]

Fresh from the Python Package Index

• tensorlight • airconditioner Yaml based DAG configurator for airflow • algorthm A package for studying various Algorithms and visualizing the operations • auditservices A Docker and AWS utility package • autocluster Automated machine learning toolkit for performing clustering tasks. • baggingrnet Library for Bagging of Deep Residual Neural Networks • basic-matrix-algebra Performs basic matrix algebra • cranlogs CRAN download counts for R packages • datafilter Data Filter is a highly extensible and performant Python library that filters data based on user-defined flags and filters. • elastic-site-search Elastic Site Search API Client for Python • faro An SQL-focused data analysis library for Python. faro is a wrapper for the Python SQLite API, and aims to be a SQL-driven data analysis library for Pyt … • gqlclient Client library for making graphql calls. A pythonic interface for making requests to a GraphQL server using pydantic models to spare you from string ma … • hibachi Feature selection methods for PyTorch • karajan A conductor of aggregations in Apache Airflow • kineticspy A small package for robot simulation. Robotics is a very vast branch of engineering involoving computer, mechanical and electrical engineering. While t … http://bit.ly/36xrfJP

[bitsevensweden-blog]

Bitflyer Cracks Down on Market Manipulation – Coincheck Eyes August Relaunch

Japan’s largest crypto exchange, Bitflyer, may freeze accounts caught manipulating prices. Meanwhile, GMO Internet has released quarterly earnings for its crypto exchange subsidiary, currently looking to borrow some BTC from customers. In addition, Coincheck plans to reopen next month after it was hacked earlier this year.

Bitflyer Cracks Down on Market Manipulation

Bitflyer, Japan’s largest cryptocurrency exchange by volume, still does not accept new account signups. The exchange made this decision voluntarily after receiving a business improvement order from the country’s top financial regulator, the Financial Services Agency (FSA). Bitflyer announced Thursday:

In accordance with our Terms of Use, we may freeze accounts observed to have intentionally performed market manipulation or other forms of maliciously setting market prices. We will continue to do our best to build a sound trading environment.

The business improvement order Bitflyer received contains 10 “measures to ensure appropriate and reliable business operation,” the FSA detailed. Five other exchanges received an improvement order at the same time. However, unlike Bitflyer’s, theirs contain fewer than ten items and do not include a “drastic review of the management system.”

Bitflyer has been delaying deposits and withdrawals as it tries to comply with the FSA’s order. Then, on July 23, the exchange submitted its improvement plan to the agency.

GMO Coin Wants to Borrow BTC Now

Japanese internet giant GMO Group released its quarterly earnings on Thursday. The company recorded operating income for its crypto business in the second quarter after making a loss in the first due to sharp drops in crypto prices, GMO explained, adding:

In the virtual currency business, the number of account openings grew steadily due to aggressive promotion activities … Operating revenue in this segment was 1,612 million yen [~US$14.5 million], operating loss was 258 million yen [~$2.3 million].

Meanwhile, GMO Coin, the crypto exchange unit of GMO Internet, is currently accepting applications from customers wanting to loan the company their BTC. Customers can apply between July 24 and August 6. The minimum GMO will borrow is 10 BTC and the maximum is 200 BTC. The exchange first announced the launch of this program in May.

Coincheck to Reopen in August

Since its hack in January, Coincheck has suspended new account registrations. Monex Group’s president, Oki Matsumoto, said Friday that he expects to relaunch Coincheck in August, local media reported.

The group acquired Coincheck in April after it was hacked in January. According to Monex Group’s financial results from April to June, Coincheck made a pre-tax loss of 259 million yen (~$2.33 million).

Matsumoto elaborated:

I would like to restart full Coincheck service in August … The management system of Coincheck has greatly improved with the entrance of Monex Group.

Meanwhile, Monex is also trying to enter the crypto market through its US subsidiary, Tradestation Group.

What do you think of Bitflyer’s crackdown, GMO Coin’s performance and BTC loan program, and Coincheck’s relaunch? Let us know in the comments section below.

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1. BitSeven finns tillgängligt via webbversionen och mobilapplikationen. Du kan också effektivt hantera trafiken på alla kanaler.

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[digimediadomain-blog]

My previous post discussed some of the visions people have for how computing will evolve and become more gesture-based in interface and context aware with applications.

Here's one company's vision of how vast this concept of computing could potentially become. This would definitely be many interop lovers' dream. 

It does seem like an exciting, admirable concept, but I still can't help but think in the back of my mind:

What's going to happen to my right to anonymity and security of my personal information? 

Will this give way to more instances of filter bubbling of information I want to access?