I've face various challenges in my consultancy assignments. Over a decade ago I started to think of EA as a unification framework, which describes the subject of effort spent every day by countless IT professionals.

The success of enterprises depends upon their ability to define, prioritize, and execute mission-critical projects successfully. Project management is essential, but which project managers (PMs) best serve the organization?

A common aphorism suggests that "good project managers always get projects done on time and on budget." This is simplistic and propagates a destructive and dangerous misconception. Imagine a project manager working on a project that is likely to complete on time and on budget.

Testing is potentially a risk-based activity. The fact is, one can't test everything equally, and even if one could, it would be too expensive. The risk-based testing (RBT) approach helps to identify risk factors associated with testing. Various RBT models and approaches available today deal with assessing and calculating risks associated with the test scenarios for a system under test. These studies have described risk calculation for test scenarios by considering various factors from both business and technical perspectives.

Hadoop continues to generate a lot of attention as the Big Data platform for the enterprise. Here are the benefits and obstacles I see that organizations should carefully weigh when considering how they can employ Hadoop.

Recently there has been a spate of negative financial news in the big IT space. In some respects, this is not exactly new news. Companies like HP and Dell have had financial problems for some time, but now more mainstream organizations like Cisco, IBM, and Microsoft are all reporting falling revenues.

The world around your company has changed. What does the Internet in general -- and the latest trends of cloud computing and Big Data in particular -- mean for knowledge about your customers? The core of these changes is the amount of connectivity we now have, as individuals and as a society.

I am currently writing a series of Executive Updates about the most practical architecture frameworks and how organizations are using them (see "A Practical Guide to the Most Useful Architectural Frameworks: Part I -- The Arc

There is no question that analytics has been undergoing significant upheaval as traditional BI, advanced analytics, and Big Data have come together. As we have pointed out in previous Advisors, recent attention has focused upon the velocity component, and application to real-world processes.

There is no question that analytics has been undergoing significant upheaval as traditional BI, advanced analytics, and Big Data have come together. As we have pointed out in previous Advisors, recent attention has focused upon the velocity component, and application to real-world processes.

"With any substantial investment in new technology comes the question of value. Is there enough value in the mountain of unstructured social media data to justify the expense and effort of examining it?"

-- Matt Ganis and Avinash Kohirkar, Guest Editors

It is a tale told by an idiot, full of sound and fury, signifying nothing.

-- William Shakespeare, Macbeth

Markets change, tastes change, so the companies and the individuals who choose to compete in those markets must change.

-- Dr. An Wang

The economy is dragging. Even the Chinese have downgraded the US dollar. Businesses have shuttered their doors entirely over the latest words from Washington. Watch the news lately?

In Part I of this five-part Executive Update series,1 we looked at the framework that keeps track of all work products, deliverables, and reference material used by

In the late 1880s, a set of maladies associated with the social and economic turbulence following the full impact of the Industrial Revolution afflicted many of the business, political, and upper-class elite of the US.

Data virtualization1 is touted as applicable for a range of business operations and applications, ranging from those associated with data analysis, analytics, and information management to business process management (BPM) and enterprise integration, portals, cloud services, and enterpri

A recent Cutter Consortium survey (conducted July through September 2013) of 39 end-user organizations worldwide gives us some idea of the extent to which organizations are using NoSQL databases to support analytics.

A recent Cutter Consortium survey (conducted July through September 2013) of 39 end-user organizations worldwide gives us some idea of the extent to which organizations are using NoSQL databases to support analytics.

During July-September 2013, Cutter Consortium conducted a survey asking 39 end-user organizations worldwide about various issues pertaining to BI, data warehousing (DW), analytics, and Big Data practices.