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Free Guide: 5 Data Science Tools to Consider
With the right data science tools, you can gain powerful insight out of the ever-growing pools of corporate data. Learn why data science experts are using Python, R, Jupyter Notebook, Tableau, and Keras.
Business intelligence team News
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April 24, 2019
24
Apr'19
Most in-demand data science skills include ML, Python
Experts detail the skills employers want most in data scientists -- notably machine learning and programming languages -- and why often the most valuable expertise comes with time.
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July 19, 2018
19
Jul'18
Focus, scope and spotting opportunity are key to role of CDO
Chief data officers and experts see the CDO role as changing to a more strategic orientation -- especially finding key opportunities in vast troves of data.
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July 16, 2018
16
Jul'18
Chief data officer role: Searching for consensus
The chief data officer role is about many things -- regulations, innovation, AI and more. Consultant Randy Bean discussed the matter ahead of an MIT symposium on the topic.
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July 02, 2018
02
Jul'18
Airbnb, Univision highlight best practices in BI
At the Real Business Intelligence conference, Airbnb and Univision execs presented some of the BI strategies their organizations use to help drive growth and cut costs.
Business intelligence team Get Started
Bring yourself up to speed with our introductory content
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Bolster citizen data scientists with support, training
As more citizen data scientists take on work traditionally tasked to business analysts, organizations must consider how to support them. Start with a centralized data team. Continue Reading
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New data science platforms aim to be workflow, collaboration hubs
Oracle's acquisition of DataScience.com is shining a spotlight on workbench-style platforms designed to centralize advanced analytics work by teams of data scientists. Continue Reading
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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
Evaluate Business intelligence team Vendors & Products
Weigh the pros and cons of technologies, products and projects you are considering.
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Data management roles: Data architect vs. data engineer, others
Veteran data professional Michael Bowers differentiates between key data management positions, including their salaries and which ones can add the most business value. Continue Reading
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Demand for data scientists is booming and will only increase
Fueled by big data and AI, demand for data science skills is growing exponentially, according to job sites. The supply of skilled applicants, however, is growing at a slower pace. Continue Reading
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Building a data science team in today's data-centric climate
Finding and training data scientists to build a data science team can be challenging. But in a recent webinar, a Gartner analyst offered tips on how to do it. Continue Reading
Manage Business intelligence team
Learn to apply best practices and optimize your operations.
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5 tips for enabling citizen data scientists
Self-service analytics tools are enabling citizen data scientists to dig deeper into BI than ever before. Experts offer insights into how to empower data democratization. Continue Reading
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5 self-service BI best practices for larger organizations
Self-service analytics programs can streamline the BI process by allowing users access to data, but scaling out to thousands of users requires proper planning. Continue Reading
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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
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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AI vendors attack data scientist shortage with trainings
Internal data science training programs have helped vendors when colleges and universities have failed. Training is helping to fix the data scientist shortage. Continue Reading
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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