There is unanimous agreement among agile practitioners that agile development works for building small, stand-alone system

There is unanimous agreement among agile practitioners that agile development works for building small, stand-alone system

It is not uncommon for seasoned project managers who use a traditional methodology on enterprise data warehouse/business intelligence (EDW/BI) projects to feel completely out of control. The requirements appear to be a moving target. Communication between staff members takes too long. Assigning tasks in a traditional way seems to result in too much rework.

All effort in data warehousing is ultimately to make information discovery and delivery possible. Though I do not intend to explore the Inmon versus Kimball theories here, I do think they hold clues for dealing with industry models. There are also models that build two layers, one for storage and the other for consumption. It is important that enterprises learn to rise above these two theories and make a meaningful blend of the two.

All effort in data warehousing is ultimately to make information discovery and delivery possible. Though I do not intend to explore the Inmon versus Kimball theories here, I do think they hold clues for dealing with industry models. There are also models that build two layers, one for storage and the other for consumption. It is important that enterprises learn to rise above these two theories and make a meaningful blend of the two.

Virtual communication is similar to face-to-face communication, with the obvious difference that participants are not in the same room at the same time.

What would you do if you had no money, and no prospect of getting any for a week or more?

In my last Advisor ("Cloud Architecture Practice: Sharing a Few Observations and Lessons Learned"), I submitted a few observations and lessons learned from a real-wor

The most common agile challenges and usage in the context of business analysis (BA) work are as follows:

We commonly define enterprise architecture as either a discipline, process, or thing. But which is it, and does it matter?

I've been talking with the folks from Cirro -- a new startup that has just launched its Big Data enterprise access and exploration solution.

Part II of this two-part Executive Report series on agile business analysis (ABA) focuses on the crucial issues relating to organizational adoption. This report targets senior decision makers who may not necessarily be hands-on business analysts, but who have the organizational-wide responsibility for ABA competencies. Going beyond project-level application, the report discusses business analysis (BA) frameworks, BA centers of excellence (CoEs), quality, and related metrics.

Business stakeholders are far more interested in business agility than they would ever be in software (or project-level) agility. The issues and challenges associated with the organizational adoption of agility, together with the deployment of business analysis (BA) competencies across an entire organization, require separate and dedicated attention.

What is the role of today's CIO? Is it disappearing completely or becoming irrelevant, or changing to become more strategic? Are today's CIOs competing for -- and gaining -- other C-suite titles? In this omnibus Council Opinion, the Cutter Business Technology Council considers these issues. Each contributor discusses the current and future role of the CIO in our changing business landscape.

What is the role of today's CIO? Is it disappearing completely or becoming irrelevant, or changing to become more strategic? Are today's CIOs competing for -- and gaining -- other C-suite titles? In this omnibus Council Opinion, the Cutter Business Technology Council considers these issues. Each contributor discusses the current and future role of the CIO in our changing business landscape.

Sometimes technology trends are hard to anticipate or understand. The topic of this Advisor is neither; it's just somewhat misunderstood. While this Advisor covers data analytics, it's not really about the "Big Data" that has been much discussed in recent months -- it's about even bigger data.

Sometimes technology trends are hard to anticipate or understand. The topic of this Advisor is neither; it's just somewhat misunderstood. While this Advisor covers data analytics, it's not really about the "Big Data" that has been much discussed in recent months -- it's about even bigger data.

As an IT executive in today's global business world, you negotiate with people from many cultures every day.

As an IT executive in today’s global business world, you negotiate every minute of every day, and, increasingly, those negotiations take place with people from cultures other than your own. Your customers come from all over the world, as do your employees, vendors, service providers, and business partners.

In my last Advisor ("Predictability, Reliability, Serendipity"), I highlighted the role of serendipity in value realization, as follows:

Cutter Senior Consultant Carl Pritchard takes you on a dynamic excursion through the language of risk, demystifying the practice. You'll learn the four simple ways to improve your risk management practice without changing the way your organization does business.

This week I was speaking at a cloud conference and not surprisingly there were a lot of sessions about Internet as a service (IaaS) platforms, software as a service (SaaS), elasticity, cost savings, mobility, social media, and more of the

Cutter Senior Consultant Carl Pritchard takes you on a dynamic excursion through the language of risk, demystifying the practice. You'll learn the four simple ways to improve your risk management practice without changing the way your organization does business.

Real-time Complex Event Processing (CEP) has been around for more than a decade. Traditional (legacy) CEP systems were constrained in scalability and performance and lacked real-time ability. Today, the business case for CEP is becoming more evident due to the real-time impact of various social channels, capital market volatility, increased threat through network attacks, and the emergence of decision making "on the fly" based on raw business intelligence.

Real-time Complex Event Processing (CEP) has been around for more than a decade. Traditional (legacy) CEP systems were constrained in scalability and performance and lacked real-time ability. Today, the business case for CEP is becoming more evident due to the real-time impact of various social channels, capital market volatility, increased threat through network attacks, and the emergence of decision making "on the fly" based on raw business intelligence.