Data analytics

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Free Guide: 5 Data Science Tools to Consider

With the right data science tools, you can gain powerful insight out of the ever-growing pools of corporate data. Learn why data science experts are using Python, R, Jupyter Notebook, Tableau, and Keras.

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Data analytics News

February 28, 2020 28 Feb'20
Gartner's Sallam: Top BI vendors poised for next disruption

Leading analytics vendors appear poised to remain innovative as AI becomes pervasive in BI, Gartner's Rita Sallam explains in a discussion about BI's present and future.
February 28, 2020 28 Feb'20
Gartner's Sallam: Top analytics platforms share common traits

In an interview, Gartner analyst Rita Sallam discusses what separates the top BI vendors from the rest as well as the trends that will shape the future of analytics.
February 27, 2020 27 Feb'20
Birst analytics key to partnership between Infor, Snowflake

A new partnership between Infor and Snowflake will use BI tools from Birst, acquired by Infor in 2017, to enable users to build automated data warehouses on Snowflake.
February 26, 2020 26 Feb'20
Tableau 2020.1 highlighted by Viz Animations, Dynamic Parameters

Dynamic Parameters and Viz Animations highlight Tableau's first 2020 platform update and comes nearly four months after Salesforce's acquisition of Tableau closed.

Data analytics Get Started

Bring yourself up to speed with our introductory content

Data scientist vs. data analyst: What's the difference?

Data scientists and data analysts have a lot of crossover in their roles, but they're certainly not the same. Here's a look at some key differences in the positions. Continue Reading
Augmented analytics tools: Business uses, benefits and barriers

This guide examines the capabilities and potential benefits of augmented analytics technologies and offers guidance on how to use them to simplify BI and analytics processes. Continue Reading
Financial business analytics transforms numbers into gold

AI-driven business analytics provides finance departments with the tools to exercise more influence over corporate strategy, but only with the right skills and training. Continue Reading

Evaluate Data analytics Vendors & Products

Weigh the pros and cons of technologies, products and projects you are considering.

Ethical data collection in the spotlight over new regulations

New regulations have put data privacy top of mind for many consumers. Here's a look at how businesses can incorporate ethical data collection -- and even benefit from it. Continue Reading
The data science pathway demands continued learning

With the advent of open source coding languages and the expansion of online courses, the pathway to becoming a data scientist has never been easier. Continue Reading
How to improve data scientist job satisfaction

Hiring data scientists is tough. Keeping them is tougher. However, there are certain things companies can do to minimize the high cost of turnover within their data science team. Continue Reading

Manage Data analytics

Learn to apply best practices and optimize your operations.

How to enhance your data science storytelling

How do you create substantive, compelling stories for business executives from cold, hard numerical data? Experts share their tips on how to improve your data storytelling skills. Continue Reading
Data catalog best practices rely on teamwork, governance, tools

This handbook provides advice on creating data catalogs to help data analysts and other users find information in corporate systems, plus insight on data catalog trends. Continue Reading
Data catalog management for analytics fraught with unique demands

Data catalogs for analytics applications demand detailed assessment of user needs, cross-functional teams, ready access, continuous improvement and a self-sustaining system. Continue Reading

Problem Solve Data analytics Issues

We’ve gathered up expert advice and tips from professionals like you so that the answers you need are always available.

Predictive storage analytics and AI make storage smarter

Intelligent storage is all the rage. Discover how predictive analytics for storage, AI and machine learning makes storage infrastructure more flexible and cost effective. Continue Reading
Compliance analytics helps data storage meet PII standards

Organizations are using predictive analytics and AI to sift through large data sets to ensure that any data stored is compliant with all personally identifiable information rules. Continue Reading
How to create a data set for machine learning with limited data

A shortage of data for machine learning training sets can halt a company's AI development in its tracks. Turning to external sources and hidden data can solve the problem. Continue Reading