Blogs

How master data management supports health information exchange

How master data management supports health information exchange

May 28, 2015 | by Lorraine Fernandes, RHIA,Global Healthcare Industry Ambassador, IBM Information Management
A recent healthcare information research event explored the role of master data management in supporting research, care coordination and health information exchange. Take a look at the interaction that transpired and validates the importance of matching patient data to clinical records.
Financial News Highlights: May 2015

Financial News Highlights: May 2015

May 28, 2015 | by Susan Visser, Social Lead for IBM Analytics - Financial Services Sector, IBM
Here’s a roundup of relevant banking, finance and insurance industry news for May.
Who are today's analytics professionals?

Who are today's analytics professionals?

May 27, 2015 | by Pavel Abdur-Rahman, Senior Managing Consultant, IBM
Discover nine fields of study for corresponding data analysis professionals that contribute significantly to analytics projects, their key value propositions and challenges and high-level suggestions for categorizing and organizing the rapidly growing analytics resource pool.
How to get started with Apache Spark today

How to get started with Apache Spark today

May 27, 2015 | by James Kobielus, Big Data Evangelist, IBM
An increasing number of use cases for big data and analytics can be Apache Spark's sweet spots. Take a look at several low-latency applications in which Spark is well-suited for analysis of cached, live data.
Designing systems of insight

Designing systems of insight

May 27, 2015 | by Chris Nott, Client Technical Leader for UK Public Sector, IBM UK Ltd.
A system of insight ecosystem enables individuals to locate and access data, build visualizations and create analytical models that can help improve the operations of organizations. See how the data reservoir reference architecture describes the technical capabilities necessary for a system of...
How the world’s most successful organizations use analytics to innovate

How the world’s most successful organizations use analytics to innovate

May 26, 2015 | by Anthony Marshall, Strategy Leader, IBM Institute for Business Value, IBM
In a recent IBM Institute for Business Value study, discover how business leaders take big data and analytics to the next level by creating a platform for advancing, identifying and defining innovation.
Innovative battery technology and the energy storage benefits for utilities

Innovative battery technology and the energy storage benefits for utilities

May 26, 2015 | by Jennifer Potter, Communications and Distribution Writer
A stationary battery capable of powering someone's home may be released in the next few months. How will these technologies impact utility companies? How should they prepare to ensure their business stays successful?
VoLTE features: What they are, why they matter

VoLTE features: What they are, why they matter

May 26, 2015 | by Jeff Bertolucci, Telecom Writer
VoLTE features are the next big thing in cellular networks. Here's why service providers and consumers can benefit.
Mainframe data virtualization brings data and analytics closer together

Mainframe data virtualization brings data and analytics closer together

May 26, 2015 | by Mike Miranda, Writer and Public Relations, Rocket Software
Business decision makers must have timely access to accurate business data. Mainframe data integration through virtualization empowers businesses to take full advantage of new information, existing data and analytics.
A maturity model for big data and analytics

A maturity model for big data and analytics

May 26, 2015 | by Chris Nott, Client Technical Leader for UK Public Sector, IBM UK Ltd.
The speed at which executives expect data-driven insights is accelerating. How can organizations ensure that investments they make in analytics today will have the flexibility to cope with the demands of tomorrow? Successful outcomes require a business-driven approach, and the big data and...