The US government has been working to provide greater transparency and availability for its immense collection of stored data, and this is important for analytics. Government data ranges from census information to scientific information and transaction details for government actions.

Over the past 20 years, the Internet has matured past its troubled adolescence and now swiftly seeps toward global saturation. It has quickly moved from a throw-it-on novelty to a now fully intertwined quilt woven into a large swath of human existence.

Any position in any organization can be broken down into roles and responsibilities -- or a clear set of "jobs" the person must perform. Each job can be further broken down into a set of tasks -- sometimes complex, sometimes simple. Yet, to maximize productivity, these tasks are the first things we want to encourage our staff to find ways to eliminate.

Tools and technologies are an essential part of any distributed Agile development. Companies invest thousands of dollars in procuring high-fidelity video conferencing equipment at their onshore locations. However, one thing they nearly always ignore is the integration capability with their offshore locations.

Two countries that come to mind when discussing offshore development are India and China. Although both countries have good infrastructure for software development, there are two technology aspects that need careful attention.

The Object Management Group (OMG) has published the initial version of its decision model and notation (DMN) specification.

The use of Hadoop in support of data warehousing and BI analytics efforts is still a relatively new development for many mainstream businesses. Some organizations, however, are implementing Hadoop in order to supplement their data warehousing and BI environments with its extreme processing capabilities.

The use of Hadoop in support of data warehousing and BI analytics efforts is still a relatively new development for many mainstream businesses. Some organizations, however, are implementing Hadoop in order to supplement their data warehousing and BI environments with its extreme processing capabilities.

One of the benefits of having worked in both product management and technology for over 35 years is that you gain a certain perspective. We live in an endless stream of invention. It seems as though everything is new. But to the astute, the observant, even in an explosion of discovery, patterns emerge.

Among the most intriguing books about leadership I've read in the last year was David Marquet's Turn the Ship Around, in which Marquet -- a submarine captain of the US Navy -- describes how he turne

The concepts behind cloud technology have had a huge influence on the evolution of infrastructure architecture. But from an EA perspective, what should we be considering after the cloud?

The concepts behind cloud technology have had a huge influence on the evolution of infrastructure architecture. But from an EA perspective, what should we be considering after the cloud?

The advent of cloud-based Watson-powered systems and services is significant. Outfitted with content and knowledge bases tailored to specific domains and industries, such systems can deliver expert reasoning and decision support that organizations can license. Thus, it increases the practicality of organizations to use such systems by reducing, if not eliminating, the need to deploy such high-end applications on-premises.

The advent of cloud-based Watson-powered systems and services is significant. Outfitted with content and knowledge bases tailored to specific domains and industries, such systems can deliver expert reasoning and decision support that organizations can license. Thus, it increases the practicality of organizations to use such systems by reducing, if not eliminating, the need to deploy such high-end applications on-premises.

In this Update, we explore how analytics engineering will emerge as a focal point for handling the integrations and infrastructure requirements of this new discipline. And fundamental changes will be necessary in how business processes are understood and in how decisions are made and evaluated at every level.

There are practices, tools, and techniques that can be adapted to a variety of situations and will enhance the organization's ability to achieve its change agenda.

What scaling factors should we consider when tailoring our approach to Agile solution delivery? Several years ago, while working with IBM customers around the world to adopt and scale Agile, Scott developed the Agile Scaling Model (ASM) to help answer this question.

Amidst the jargon and hype there is usually a semblance of some idea or truth that has practical value. The evolution of the Web is popularly divided into Web 1.0 and Web 2.0, and now there is talk of an emerging Web 3.0.

Google has recently launched a buying spree for robotics companies, gaining attention through acquisition of Boston Dynamics, a creator of sophisticated animal-like robots for the US Defense Department.

This year marks the 20th anniversary of the publication of Yale sociology professor emeritus Charles Perrow's ground-breaking book Normal Accidents: Living with High-Risk Technologies.

This year marks the 20th anniversary of the publication of Yale sociology professor emeritus Charles Perrow's ground-breaking book Normal Accidents: Living with High-Risk Technologies.

The need for Agile BI is easily seen in the increasing velocity of business, reduced profitability windows for innovation, and rapid changes in the technological environment.

Agile adoption goes hand in hand with abandoning so-called traditional project management. Yet new projects are continously faced with legitimate management questions. Now you can answer these questions with confidence when you adapt the Earned Value Management method (EVM) into your Agile product development process.   

As has been our tradition for the last several years, we've compiled the five most intriguing articles published by the Business & Enterprise Architecture practice for today's Advisor. How did we come up with this list? We chose the articles that garnered the most feedback from Cutter Members and clients and those that created controversy among Cutter Senior Consultants and Fellows.

In the first two Executive Updates of this five-part series,1 we looked at frameworks for architecture content and the architecture development process.

As has been our tradition for the last several years, we've compiled the five most intriguing articles published by the Data Insight & Social BI practice this year for today's Advisor. How did we come up with this list?