Strategists, architects, process experts, software developers, data managers and other professionals involved in changing the enterprise often put substantial effort in creating all kinds of useful models of their designs. In many cases, such business models, enterprise architecture models, business process models, software models, or data models are only used to specify some design, i.e. to describe what should be built. 
But there is much more value to be had from these models, by using powerful analysis techniques to elicit new insights. In the following pages I will cover 7 of these analyses, discussing the business outcomes you can achieve with their help.

Nonetheless, it's a new year, and time to go back to work. January is when we reset the statistics, brace for a new year, and try to prove ourselves once again. Some people have trouble getting back into the swing of work after the holidays; they've probably slept too much, partied too much, and ate way too much, which explains the five-to-eight pounds they've put on. This is why dieting and temperance are among the top New Year's resolutions. Regardless, they are having trouble focusing on their work.

For almost 10 years we have enjoyed reflecting on what’s happened the previous year and making predictions for the upcoming year in the realms of Business Analysis, Project Management, and Agile. Some of the recent trends we have discussed: The digital BA, Lean business cases, BAs and PMs in a Dev Ops environment, BAs and PMs in the gig economy, etc.  Here are five industry trends that we have chosen for 2019:...

This article provides high-level steps for eliciting requirements when interviewing or holding a facilitated meeting with stakeholders; it was motivated by an attendee question at a recent Modern Analyst webinar: “Functional vs. Nonfunctional requirements.”  The question was, “Can a Business Analyst elicit functional and nonfunctional requirements in the same iteration?” 

When it comes to Predictive Analytics, several algorithms can allow you to use the available data by constructing a prediction model. Previously, we looked at a few algorithms designed to calculate probability. Another popular predictive analytics and AI algorithm is a Decision Tree known as C4.5.