How to Monetize Data: Strategies for Creating Data-Driven Applications

Apr 24, 2016 by Wayne Eckerson in Data Strategy Insider

ABSTRACT:

This e-book provides a rationale and framework for monetizing data and explains the key success factors for developing the data-driven applications that are the backbone of any data monetization strategy. The e-book is geared to business and technical executives who want a concise guide to...

Big Data Analytics Tools: Ten Critical Characteristics

Apr 23, 2016 by Phil Bowermaster in Data Disruption

ABSTRACT:

Big data poses a difficult challenge for traditional business intelligence (BI) tools. Most were not designed to handle terabytes to petabytes of data or run against legacy systems as well as the growing number of purpose-built databases and file systems that don’t use ANSI-standard SQL. Given...

5 Reasons the Internet of Cars Changes Everything

Apr 18, 2016 by Phil Bowermaster in Data Disruption

ABSTRACT:

The Internet of Things is going to turn your automobile into “the ultimate mobile device.” A coming deluge of vehicle data will drive development of applications touching every aspect of how we interrelate with our cars: how they are built and sold, how we drive them, how much we pay for...

Which Embedded Analytics Product is Right For You?

Apr 15, 2016 by Wayne Eckerson in Data Strategy Insider

ABSTRACT:

As data proliferates, organizations want to monetize  data assets by injecting outward-facing applications with reports, dashboards, and self-service analytics. This report outlines key criteria for evaluating embedded analytics solutions. It discusses three types of analytics technology that can...

Embedded Analytics: The Future of Business Intelligence

Apr 15, 2016 by Wayne Eckerson in Data Strategy Insider

ABSTRACT:

This report defines embedded analytics, charts its evolution, and discusses whether to build or buy embedded analytics solutions.