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Business intelligence team News
March 08, 2017
Data scientists at companies such as LinkedIn and Cisco are applying aspects of the scientific method to data mining and analysis initiatives to try to make sure they get valid results.
February 28, 2017
Data science teams face a mix of process and cultural challenges in organizations, according to experienced analytics managers who offer advice on how to overcome the hurdles.
February 06, 2017
Good instincts used to drive successful business strategies, but intuition just can't cut it in the age of big data.
July 22, 2016
How to balance data safety with innovative big data expansion was at issue at an MIT symposium where the chief data officer role was considered.
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A data engineer is a worker whose primary job responsibilities involve preparing data for analytical or operational uses. Continue Reading
In a panel discussion at Strata + Hadoop World 2016, managers of data science initiatives discussed how to structure and lead teams of data scientists for effective big data analytics. Continue Reading
Despite the value data scientists can bring to a big data analytics team, not every business requires them. Some are using a mix of technology and culture to avoid the need. Continue Reading
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BI tools can be very beneficial to an organization by delivering helpful insights, but common mistakes frequently derail their effectiveness and render them useless. Continue Reading
With big data in financial services requiring various skills, a chief data officer may be ready to step up. A Capgemini expert discusses this evolving role. Continue Reading
Companies such as Intuit are taking steps to try to ensure that customer data analytics initiatives don't give them a black eye because of data breaches or misuse. Continue Reading
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In this episode of the Talking Data podcast, find out how data science teams at Cisco and LinkedIn navigate the process of doing advanced analytics work in an accessible way. Continue Reading
Data science can be incredibly valuable if done right, but just as damaging if done wrong. Here, a data science expert discusses three common predictive modeling pitfalls. Continue Reading
Advanced analytics software provides a lot of functionality, but finding skilled data scientists who can use the available tools effectively is a challenge for many analytics managers. Continue Reading
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In some organizations, corporate lawyers are tasked with protecting data from analytics abuse. But they need to avoid tying the hands of data scientists. Continue Reading
The shortage of skilled analytics professionals is well documented, but SAS conference attendees said businesses that know where to look can find, or develop, the skills they need. Continue Reading
Expert Brian Jordan discusses three common mistakes that BI teams make when training business users and offers advice on how to avoid them. Continue Reading