Dump the BDAT-stack!

For a viable enterprise-architecture [EA], now and into the future, we need frameworks, methods and tools that can support the EA discipline’s needs. Yet there’s one element common to most of the current mainstream EA-frameworks and notations – such as

How to Build a Roadmap – Gap Analysis Update

This update addresses a number of requests about the tools and methods I use to complete the gap analysis step from earlier posts in the series on How to Build a Roadmap. The update describes some quick Management diagnostic tools used across a wide variety of challenges encountered when developing a road map. Using these tools to perform the gap analysis delivers quick distinctive results and provides the key data and actionable insight needed to develop a meaningful road map.

What I do, and why

“Are you the guy who writes books?”, asks the young woman behind me in the cafe. Well, yes, I am – but much as for her, it’s taken me a moment or two to recognise her, and then remember the

Big Data Analytics – Unlock Breakthrough Results: (Step 5)

In this step we develop one of the most important interim products for our decision model; the analytic user profile. A profile is a way of classifying and grouping what the user community is actually doing with the analytic information and services produced. We develop a quantified view of our user community so we can evaluate each platform or tool for optimization quickly and produce meaningful results aligned with usage patterns.

Big Data Analytics – Unlock Breakthrough Results: (Step 4)

Continuing the series on Nine Easy Steps to Unlock Breakthrough Results, we now assign relative weights to each of the critical capabilities groups for each operating model uncovered earlier. This is done to assign the higher weightings to capability groupings most important to the success of each model. Having the quantified index means we can evaluate each platform or tool for optimization within quickly and produce meaningful results.

Big Data Analytics – Unlock Breakthrough Results (Step 1)

You’ve made the big data investment. Now it’s time to realize value. This series of posts is going to provide a detailed set of steps you can take to unlock this value in a number of ways. As simple use case I’m going to address the perplexing management challenge of platform and tool optimization across the analytic community as an example to illustrate each step.

Seven sins, sensemaking and OODA

Following from that recent series on sensemaking and ‘Seven sins of dubious discipline‘, it seems worthwhile to look at that whole context-space from a different direction, another example of a proven metaframework for much the same kind of metadiscipline – namely

Seven sins – a worked example (‘Natural rights’)

Enterprise-architecture, strategy, and more: they all depend on discipline and rigour, in thinking, sensemaking, decision-making and action. But what happens when that discipline is lost? What are the ‘sins’ that can cause that discipline to be lost? How can we

Seven sins – 7: Lost In The Learning-Labyrinth

Enterprise-architecture, strategy, or just about everything, really: they all depend on discipline and rigour – disciplined thinking, disciplined sensemaking and decision-making. But what happens when that discipline is lost? What are the ‘sins’ that can cause that discipline to be