Enterprise business intelligence software and big data

Enterprise business intelligence software and programs can open a window into the soul of your IT operation. Business and IT goals can be better analyzed and aligned thanks to BI tools and techniques such as statistical analysis, business forecasting and data mining. Find the latest on enterprise business intelligence software with the news, tips and other resources in this section.

October 29, 2020 29 Oct'20
Voting fraud technology could play role in momentous election

Vendors, academics and data scientists are developing technologies to detect irregularities in voting patterns. The turbulent U.S. election could provide fertile turf for the tools.
August 02, 2019 02 Aug'19
Colorado builds API integration platform to share data, speed services

In a quest to be the 'Amazon of state services,' Colorado's chief data officer is rolling out an API integration platform. Challenges abound. Here are the lessons learned.
July 11, 2019 11 Jul'19
Data-driven operating model propels Adobe's digital business success

Adobe is widely known as one of the digital transformation winners. Its journey was, in large part, enabled by thoughtful data governance, data exec Mark Picone says.
June 25, 2019 25 Jun'19
Oracle Analytics Cloud update unifies BI products, pricing

Oracle Analytics Cloud now offers a consistent UI and all-in-one pricing for Oracle's analytics tools. But an on-premises BI update is also on the way for cloud holdouts.

Bring yourself up to speed with our introductory content

data collection

Data collection is the systematic approach to gathering and measuring information from a variety of sources to get a complete and accurate picture of an area of interest. Continue Reading
chief experience officer (CXO)

A chief experience officer (CXO) is an executive in the C-suite who ensures positive interactions with an organization's customers. 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

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

What is data science? The ultimate guide

Data science is the process of using advanced analytics techniques and scientific principles to analyze data and extract valuable information for business decision-making, strategic planning and other uses. Continue Reading
4 steps to turn real-time data streams into business value

Data is the currency of today's business success. This framework helps your organization use available data sources to create new product and services. Continue Reading
What's behind the Domo machine learning tool Did You Know

Domo's Did You Know feature uses machine learning algorithms to automatically pull analytics information out of data sets for business users. Here's how it works. Continue Reading

Learn to apply best practices and optimize your operations.

Using DataOps to create business value from big data

Now is the time to take all that data your organization has amassed through the years and, with DataOps, use it to make actionable business decisions. Continue Reading
How data science can help your company withstand the pandemic

The COVID-19 pandemic is adversely affecting businesses worldwide, but data science can help you solve immediate problems and create data-driven strategies for the long term. Continue Reading
Cloud cost implications of the 5 V's of big data

Moving analytics to the cloud opens a lot doors for users, but only if they keep costs in check and understand the 5 V's of big data -- volume, variety, velocity, veracity and value. Continue Reading

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

Intelligent process automation yields better customer service

American Fidelity uses intelligent process automation to sort through and route customer emails, helping the insurer deliver faster responses to customer queries. Continue Reading
The big data paradox, or why no one thought Trump would win

It's commonly assumed that statistical analysis improves as sample size grows. But big data isn't always better data. A Harvard statistician explains why it's not that simple. Continue Reading
4 cloud-based e-discovery strategies to target containerized data

A cloud migration requires evaluating any existing information governance programs. E-discovery in the cloud and for container-based data platforms requires a detailed strategy. Continue Reading