Entries for November 2020

I could not help but observe in awe the agility of this monstrous wing. My mind could not stop analyzing how an airplanes uses the agility of its wings to control the pressure of the air that flows through them and manipulates the latter to enable it to navigate its journey into the skies.  The aeroplane does not change the physical or scientific formation of the air, but it changes its wings to adapt to this natural phenomenon. How intriguing. Adaption. Agility. 

Study after study in behavioral science show that certain approaches are more effective than others when we’re trying to convince others to see things our way.  Leaders in many industries, including the public sector, have learned the wisdom of using the latest evidence of what influences behavior and applying those insights to solve practical issues.  As a result, behavioral insights have now been successfully used to convince people to reduce their energy consumption, contribute a larger amount to their retirement fund, eat healthier food, and more.

These are my findings from analyzing the Business Analysis Body Of Knowledge, version 3 (BABOK). These findings are presented in the form of, suggestions for improvement, potential errors and omissions. They are the result of creating an object-oriented model of the structure and information of the BABOK. This model captures 461 pages of the BABOK - from the Business Analysis Key Concepts chapter through to the end of the Techniques To Tasks Mapping chapter.

So how do you handle CRUD in your use cases? Please don’t confuse CRUD with CRAP in your use cases. That’s a lot harder to deal with and requires a conversation with your subject matter experts (SMEs). CRUD is an acronym for Create, Read, Update and Delete. It describes the lifecycle in the maintenance of system data, whether that data is stored in a database or is file based data stored in a document management system like SharePoint.

Master Data is a concept that most IT shops are familiar with; Master Rules is not.  Master Data cannot address the issue of data quality without pairing it with the rules that define and/or derive that data; that is, the Master Rules.  Sooner or later, all significant financial sector organisations (in particular) will confront an impending migration, regulatory pressure, M&A, commercial imperative, or other compelling need to improve the management of their business rules; then, it must be done – Master Rules must be implemented to provide the authoritive view of rules that their importance requires and deserves.