Energizing Business through Data Insights


CIO.com: 7 secrets to predictive analytics success

Predicting the future has always been a dicey proposition. Fortunately, the arrival of predictive analytics technology, which allows users to project future outcomes based on historical data and analytics techniques, such as statistical modeling and machine learning, has made forecasting results and trends far more reliable than in past years. Read article…

Infoworld: Why data science teams should operate like startups

With the increased use of data in business, organizations are scrambling to mount data science teams. Because these teams are relatively new, there is no precedence on how companies should structure them, and many experts have differing opinions. Companies, however, can take successful operational elements from startups and apply them to data science teams. Because most startups fail, experts have narrowed down operational elements that are more likely to give a startup a chance to succeed. Three of these elements include using Lean and agile methodologies, instituting a flat structure, and pivoting quickly. As data science teams emerge and grow, they can adopt these three tactics to increase productivity and operate effectively. Read article…

CIO.com: 7 keys to self-service BI success

Self-service business intelligence empowers business users to glean valuable insights from data — without IT intervention. Here’s how to make the most of this growing trend. Read article…

InformationWeek: 7 Data-Related Reasons Companies Fall Short of Promises

Customer-centricity, customer journeys, data as an asset. They're easy to say, much tougher to do. Read article…

CIO.com: What is the balanced scorecard? A framework for organizational success

Contributing Columnist Bart Perkins explains the organizational benefits of implementing a balanced scorecard. The balanced scorecard is a strategic planning and performance management framework that tracks financial and non-financial measures to determine an organization’s effectiveness and when corrective action is necessary. Read article…

Infoworld: Data in, intelligence out: Machine learning pipelines demystified

It’s tempting to think of machine learning as a magic black box. In goes the data; out come predictions. But there’s no magic in there—just data and algorithms, and models created by processing the data through the algorithms. Read article…

SDTimes: GitLab to create tool for data teams

GitLab has revealed it is working on a new tool for the data science lifecycle. Meltano is an open-source solution designed to fill the gaps between data and understanding business operations. Read article…

CIO.com: At GM, self-service analytics drives business results

General Motors has built a predictive analytics platform that generates insights into several core business strategies, including anticipating market demand for autonomous vehicles. Maxis — shorthand for maximizing insights — represents a multi-million-dollar investment in data-crunching technologies that coincides with the company's IT strategy overhaul. Read article…

DBTA: Data Visualization: Where Science Meets Art

Get an overview of Lindy Ryan's new book Visual Data Storytelling with Tableau. Read article…

Infoworld: How to get real value from big data in the cloud

David Linthicum from Deloitte Consulting shares four principles to use in developing a viable plan for leveraging big data in the cloud. Read article…