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4 data analytics trends that will dominate 2018

As businesses transform into data-driven enterprises, data technologies and strategies need to start delivering value. Here are four data analytics trends to watch in the months ahead.

Written by Thor Olavsrud02 Feb. 18 22:00

How to assemble a highly effective analytics team

The right mix of skills, strong leadership and stretch goals are just a few of the secrets to building a top-notch analytics team primed to derive lasting value from your data.

Written by Bob Violino19 Dec. 17 22:00

What is DataOps? Collaborative, cross-functional analytics

DataOps (data operations) is an emerging discipline that brings together DevOps teams with data engineer and data scientist roles to provide the tools, processes and organizational structures to support the data-focused enterprise.

Written by Thor Olavsrud21 Nov. 17 22:00

Why your BI strategy needs a universal semantic data layer

A universal semantic data layer is a single business representation of all corporate data aimed at helping users access data using common business terms via the BI and analytics tools of their choice.

Written by Thor Olavsrud10 Nov. 17 22:00

Business intelligence vs. business analytics: Where BI fits into your data strategy

Traditionally, enterprises have focused their data strategies around business intelligence (BI), but the rise of predictive and prescriptive analytics platforms, in part thanks to machine learning and artificial intelligence, is changing the equation. Even business intelligence itself is evolving, tipping in capabilities previously exclusive to business analytics platforms.

Written by Mary K. Pratt07 Sept. 17 08:33

6 data analytics success stories: An inside look

CIOs are embracing data analytics to fuel efficiency and growth, but not every analytics effort produces meaningful results. Here’s how leading CIOs are successfully tapping data analytics and machine learning to boost revenues or cut costs.

Written by Clint Boulton05 Sept. 17 20:00

Beginner's guide to R: Introduction

In part 1 of our hands-on series, we explain why R's a great choice for basic data analysis and visualization work, and how to get started.

Written by Sharon Machlis19 Aug. 17 02:45

12 Microsoft Power BI success stories

Microsoft Power BI provides organizations with self-service business intelligence tools that allow users to analyze, visualize and share data using the familiar Microsoft Excel spreadsheet. Here are 12 success stories built on Power BI.

Written by Thor Olavsrud16 Aug. 17 20:00

How QVC uses streaming analytics to drive revenue

Real-time analytics on transactional data -- combined with historical and other data -- help the home shopping retailer respond to trends in the moment.

Written by Thor Olavsrud16 May 17 00:59

How an AI caddie could improve your golf game

Arccos Golf is leveraging the data generated by its golf performance tracking system to provide a subscription-based artificial intelligence caddie to help golfers make data-driven decisions on the course.

Written by Thor Olavsrud12 May 17 02:29

MapR unveils platform for IoT analytics at the edge

MapR Edge is a new small footprint edition of the MapR Converged Data Platform geared for capturing, processing and analyzing data from internet of things devices at the edge.

Written by Thor Olavsrud14 March 17 23:05

Insurance spin-out rides API-driven strategy

Allstate’s Arity spin-out has embraced an analytics-based platform strategy similar to those used by the likes of Uber and Lyft.

Written by Clint Boulton09 Feb. 17 05:30

How Hadoop helps Experian crunch credit reports

Experian is quickly crunching massive amounts of data and making it available to customers thanks to the open source software as well as microservices and API technologies.

Written by Clint Boulton06 Jan. 17 04:44

Big data on campus

Colleges and universities are sifting through reams of data in search of ways to bolster graduation rates.

Written by Clint Boulton18 Oct. 16 00:34
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