Business intelligence team
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Staff Pick: The Rising Need for Analytics Accuracy
Learn how LinkedIn overcame analytics bottlenecks, 3 data modeling flaws that cripple data science projects, and common roadblocks of advancing data science teams and hiring data pros.
Business intelligence team News
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July 24, 2017
24
Jul'17
Chief data officer jobs call for nurturing data ethos in companies
In many organizations, chief data officer jobs centered on defense against risk are giving way to ones emphasizing innovation. To do so, CDOs must nurture a data culture, MIT panelists said.
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July 17, 2017
17
Jul'17
Without communication, machine learning for data science goes nowhere
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.
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May 23, 2017
23
May'17
Experts share must-have data science skills beyond coding and math
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.
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March 08, 2017
08
Mar'17
Analytics teams give data science applications real scientific rigor
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.
Business intelligence team Get Started
Bring yourself up to speed with our introductory content
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data scientist
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
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Data scientist skills range from data prep to storytelling
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
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Quiz: What's your IQ on data science techniques and processes?
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
Evaluate Business intelligence team Vendors & Products
Weigh the pros and cons of technologies, products and projects you are considering.
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Data scientist vs. business analyst: What's the difference?
Data science and business analyst roles differ in that data scientists must deep dive into data and come up with unique business solutions -- but the distinctions don't end there. Continue Reading
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Look for advances in serving the Hadoop data scientist
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
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Data-driven business models lead the way forward
Good instincts used to drive successful business strategies, but intuition just can't cut it in the age of big data. Continue Reading
Manage Business intelligence team
Learn to apply best practices and optimize your operations.
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Infographic: The evolution of the chief data officer role
The CDO role, which has never been rigidly defined, is undergoing a face-lift as emerging technologies present new opportunities to enterprises. Continue Reading
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Hiring vs. training data scientists: The case for each approach
Hiring data scientists is easier said than done -- so should you try to train current employees in data science skills? That depends on your company's needs, writes one analytics expert. Continue Reading
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Data science and analytics methods must balance innovation, value
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
Problem Solve Business intelligence team Issues
We’ve gathered up expert advice and tips from professionals like you so that the answers you need are always available.
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Eight reasons why business intelligence implementation can fail
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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Customer data analytics teams take on a more lawyerly look
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
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Strategies for finding analytics skills, despite the shortage
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