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Business intelligence strategy News

June 14, 2021 14 Jun'21
Election data revolutionizes the running of campaigns

Political campaigns used to rely primarily on polls to inform decisions, but with advances in technology over the past 15 years they are now using advanced analytics techniques.
June 03, 2021 03 Jun'21
AI capabilities a target for merger and acquisition activity

Analytics vendors are on the hunt for augmented intelligence capabilities, and with acquisition activity heating up, vendors specializing in AI could be targets for BI vendors.
May 14, 2021 14 May'21
Qlik analytics, DataRobot modeling fuel healthcare change

Using Qlik's business intelligence capabilities and predictive modeling from DataRobot, an England-based healthcare organization is overhauling the way it addresses patient care.
May 12, 2021 12 May'21
SaaS adoption, real-time BI among top analytics trends

More enterprises using SaaS and the need for data in real time are among the top trends in analytics, according to Dan Sommer, senior director and market intelligence lead at Qlik.

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Citizen data scientist training for augmented analytics

Augmented analytics have made data analysis more accessible and led to the rise of citizen data scientists. But using these tools still require extensive training. Continue Reading
What analytics leaders need to know about graph technology

Enterprise graph analytics adoption has been trending recently and is only expected to grow. Gartner analyst Mark Beyer explores what you need to know about graph technology. Continue Reading
self-service business intelligence (self-service BI)

Self-service business intelligence (BI) is an approach to data analytics that enables business users to access and explore data sets even if they don't have a background in BI or related functions like data mining and statistical analysis. Continue Reading

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

Tips to prep for a data science interview

Interviewing is an important first step toward a data science job. Here's advice for what questions to expect and how a little research can help with the technical screening. Continue Reading
Data scientist job outlook in post-pandemic world

There was a lull in hiring for one of the hottest jobs in the U.S., but as lockdowns start to lift and offices start to reopen, the data scientist job outlook is changing. Continue Reading
6 reasons you may need data science as a service

There are plenty of reasons to outsource all or part of a data science project to a service. Find out how enterprises are using DSaaS in their analytics pipeline. Continue Reading

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Why do enterprises outsource analytics?

As business data complexity increases, enterprises are turning to third parties for their analytics needs. Here are 10 reasons why companies are choosing to outsource analytics. Continue Reading
Why using graph analytics for big data is on the rise

Graph analytics is being used across industries for different reasons. Read on to see how they can improve organizational decision-making, network analysis, production and more. Continue Reading
8 types of bias in data analysis and how to avoid them

Analytics can exhibit biases that affect the bottom line or incite social outrage through discrimination. It's important to address those biases before problems arise. Continue Reading

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

Top 8 business intelligence challenges and how to handle them

BI teams face various technical and project management challenges on deployments. Here are the top BI challenges, with advice on how to address them. Continue Reading
Overcoming the top 3 analytics adoption challenges

Analytics is a growing part of many businesses. Experts talk about some of the most pressing challenges enterprises may face when implementing new analytics strategies. Continue Reading
What data management challenges do analytics programs face?

Expert Anne Marie Smith shares five reasons why organizations' analytics programs might fail and how a data management framework and other programs can help. Continue Reading