Business intelligence best practices

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Business intelligence best practices News

March 31, 2020 31 Mar'20
Many employees still resist data-driven culture

While most employees see the benefits of data to drive decision-making, many still resist analytics, according to a report from analytics database management vendor Exasol.
September 04, 2019 04 Sep'19
Data integration problems a hurdle companies must overcome

Relevant data is hard for organizations to find, Talend CEO Mike Tuchen says. So is mining the right data amid the complexity that large data stores have created.
September 04, 2019 04 Sep'19
Talend CEO discusses importance of mining relevant data

Enterprises can't do good business intelligence without good data. In the first part of a two-part Q&A Talend CEO Mike Tuchen talks about how hard mining the right data can be.
August 02, 2019 02 Aug'19
Data ethics issues create minefields for analytics teams

Organizations have to map out ethical boundaries for data mining and analytics applications, according to participants in a roundtable discussion on data and ethics.

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decision-making process

The decision-making process, in a business context, is a set of steps taken by managers in an enterprise to determine the planned path for business initiatives and to set specific actions in motion. Continue Reading
A look inside Panasonic's talent analytics strategy

Lydia Wu, head of talent analytics at the electronics manufacturer's North America division, says just do your best and use the simple tools you already have. Continue Reading
Ethical data mining and analytics elude privacy, usage snafus

This handbook examines the ethics of data mining and offers advice on missteps to avoid when mining and analyzing customer data to help drive marketing campaigns. Continue Reading

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Should your company hire a freelance data scientist?

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
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

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Key differences of a data scientist vs. data engineer

Data scientists and data engineers often work together, and sometimes the positions are treated as the same. Read on to find out what makes the roles different from each other. Continue Reading
Trends and top use cases for streaming data analytics

As more enterprises adopt real-time analytics, new infrastructure and best practices are appearing. Here are some trending practices for streaming data analytics platforms. Continue Reading
Varied experience builds strong data science background

Data scientists need many skills and learn those skills from different backgrounds. Experts say relevant experience can come from nearly any quantitative field. Continue Reading

Problem Solve Business intelligence best practices Issues

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Governance, compliance, ethics in data mining: Separate but equal

In the ethical mining and analysis of data, governance, compliance and ethics are mistakenly taken as one in the same. Data managers need to be aware of the critical differences. 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
Many businesses use BI reporting systems wrong, but they can improve

Many businesses commit similar mistakes when creating BI reports. Consultant Mico Yuk offers tips to help you avoid some of the most common pitfalls. Continue Reading