Selecting a Big Data Platform: Building a Data Foundation for the Future

Dec 24, 2015 by Phil Bowermaster and Wayne Eckerson in Data Disruption

ABSTRACT:

Big data platforms represent a tidal shift in the way organizations capture, store, and process data. Designed to process high volumes of multi-structured data in batch or real time, they consist of an ecosystem of components ranging from file systems and databases to analytical engines and...

Navigating the BI Landscape - 5 Core Options for Healthcare Providers

Dec 19, 2015 by Rahul Ghate in Healthcare Analytics & Information Management

ABSTRACT:

For Providers getting started with business intelligence (BI), and even those looking to expand their existing BI programs, the sheer variety of tools and packages available in the market can be confusing. In this article, I will give providers BI deployment options that can roughly be grouped...

Commercializing Big Data in Healthcare

Dec 19, 2015 by Rahul Ghate in Healthcare Analytics & Information Management

ABSTRACT:

The healthcare industry has always been traditionally slow in adopting new technologies.  With the rise of "Big Data", their need to catch up to those technologies is more vital than ever.  Until recently, the interests of payers, providers and patients were not aligned, even though they were...

Zwift: The Bicycle of Things

Dec 04, 2015 by Eric Rogge in Internet of Things

ABSTRACT:

There has been quite a bit of hoopla about smart homes and medical device communications as primary consumer Internet of Things (IoT) use cases. But IoT-enabled sports now can now gives home players an entirely new experience. One example would be an enterprising on-line virtual cycling...

Part IV: Seven Keys to a United BI Environment

Nov 30, 2015 by Wayne Eckerson in Data Strategy Insider

ABSTRACT:

In this fourth in a series of articles on enterprise BI, author Wayne Eckerson asks, "Why is business intelligence so hard?" His answer: BI leaders don't know their business users. Most fail to recognize that there are two distinct worlds of BI, each with their own users, tools and data. The real...