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4 data wrangling tasks in R for advanced beginners

R is mighty, but it can be complex for data tasks. Learn how to get summaries, sort and do other tasks with relative ease. (Now updated with dplyr examples.)

Written by Sharon Machlis04 April 19 06:00

Spring 2019: Humanizing the digital experience

Today's digital business strategies come with a list of enticing expectations: improved efficiency, increased productivity, new revenue streams, to name a few. But organizations are finding that to be successful they need to improve the digital experience. Read on to see how some 2019 Digital Edge 50 award-winning organizations have done just that by adding a human touch.

Written by By CIO Staff15 March 19 02:19

What is a data engineer? An analytics role in high demand

Data engineers are vital members of any enterprise data analytics team, responsible for managing, optimizing, overseeing and monitoring data retrieval, storage and distribution throughout the organization.

Written by Sarah K. White26 July 18 20:00

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