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Business intelligence strategy News

September 21, 2021 21 Sep'21
Pandemic continues to highlight importance of analytics

Organizations with successful analytics programs have weathered the economic crisis caused by the pandemic far better than those who have not prioritized BI, according to research.
September 10, 2021 10 Sep'21
Time is now for enterprises to deploy analytics in the cloud

Speed and security now make cloud analytics preferable to on-premises deployments, along with advantages such as collaboration for a distributed workforce and agility to scale.
September 02, 2021 02 Sep'21
Dresner: Top analytics trend remains rate of adoption

Increased investment in analytics and proliferation of data science capabilities are among the most significant ongoing trends in BI as the pandemic stretches into late 2021.
August 18, 2021 18 Aug'21
How to increase the success rate of data science projects

Most data science initiatives don't produce value due to obstacles like poor data quality, but CNN senior lead of product analytics Bryce Macher has a plan for success.

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How to develop a data literacy program in your organization

This handbook examines the need for data literacy in organizations and offers advice on boosting the data literacy skills of self-service BI and analytics users. Continue Reading
Successful digital transformation strategies start with data

Data has become a natural resource essential to business ops. Companies need to consider four digital transformation elements when developing strategies to harness data. Continue Reading
Consider unique business needs when hiring a data scientist

The experience and educational requirements common to data scientist roles have changed rapidly in recent years. Here's how to hire the right data scientist for your business. Continue Reading

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

Does hiring a freelance data scientist make sense for you?

Enterprises need to make the right hiring choices when it comes to supporting their data projects. Here are some reasons your company may or may not consider hiring a freelancer. Continue Reading
The top augmented analytics tools vendors are offering

From natural language querying to automated data preparation, augmented analytics are key capabilities for the top BI platforms. Read on to see what popular vendors are offering. Continue Reading
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

Learn to apply best practices and optimize your operations.

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