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Business intelligence team News
July 17, 2017
The chief data officer's next challenge may be to find storytellers who can explain machine learning for data science to decision-makers in the organization.
May 23, 2017
Hiring a data scientist is hard enough given the shortage of candidates, but the subtle mix of skills required by the job can make hiring one even harder.
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.
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A data scientist is a professional responsible for collecting, analyzing and interpreting large amounts of data to identify ways to help a business improve operations and gain a competitive edge over rivals. Continue Reading
Data scientists aren't born -- they're made. IT pros from a wide range of backgrounds are working to gain the data science skills for which companies are looking. Continue Reading
Creating a successful data science program enables you to look deeper into your organization's data for analytics uses. Take this quiz to see how much you know about the data science process. Continue Reading
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To date, the Hadoop data scientist has had to be a superhero, with a mix of data engineering, administration and analysis skills. Self-service tools will change that, but not overnight. Continue Reading
Good instincts used to drive successful business strategies, but intuition just can't cut it in the age of big data. Continue Reading
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
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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