SDLC, Process, and Methodologies

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.

An agile organization is characterized by having a comprehensive portfolio of optimized business process and business capability maps grouped by their role in value creation for the customers and support of the business strategy.  These maps are linked to all the other disciplines such as finance, governance, resource management, talent management, and customer experience.   Thus, Corporate IP can be securely delivered to the point of need. 

I spent a lot of time in the past half-century doing software work: requirements, design, user experience, programming, testing, project management, writing documentation, process improvement leadership, writing 7 books and many articles, consulting, and training. Sure, there were some side trips along the way,.... But basically I’m a software guy. Over all that time, I’ve accumulated numerous insights about the software business. Here I offer 66 of those lessons. Perhaps you’ll find them as helpful as I have.

As much as we like to think we are now in a dynamic and agile world, most delivery initiatives are still some shades of agile and all shades of waterfall. These initiatives could have adopted an agile outlook and naming convention, but the businesses they support are often still predominantly waterfall – going from one clearly defined task to another until realizing value. Think for example, order to cash, just in time logistics etc.

The transition from Waterfall to Agile is never easy – especially for a business analyst who must go through this journey. This document has come about because of this challenge and as an attempt to present a practical guide of how to effectively transition over as a business analyst, and where are these worlds connected. I do not believe that all that we learned as business analyst in the waterfall era are completely useless. What has changed in the Agile world is how we think about analysis, how we present the requirements to our business and our development and testing teams. It is by no means a comprehensive and one size fits all document. But it does provide a start and a guide for those who sometimes cannot make the connection.

Using one fictitious  ‘User Story’ in the Agile section of this document, I provide concrete examples of how and when to present just enough information, while giving your audience sufficient understanding of what they need to bring the requirements to life.

John Seddon launches an attack on the value of Agile as practiced and charts a better way to analyse and design for improvement, making information technology the last thing to be concerned with, not the first.

As the business analyst (BA) role continues to evolve, the responsibilities continue to expand. One of the best ways for a business analyst to add value to a project is to understand the processes involved in both the project life cycle (PLC) and the software development life cycle (SDLC). Contrary to popular belief, the two life cycles are independent of one another, however, it's best that they are aligned.

The fact that software projects and tasks are reported to be “90 percent done” for a long time has become something of an industry joke. (A related joke states that the first half of a software project consumes the first 90 percent of the resources, and the second half consumes the other 90 percent of the resources.) This well-intentioned but misleading status tracking makes it difficult to judge when a body of work will truly be completed so you can ship the next product release to your customers. Here are several typical causes of “90 percent done” syndrome and a few possible cures.

In recent years, agile software development has been the classic example of this pursuit of magic solutions, so I’ll use that as an example here. Over the years, though, people have leapt onto the bandwagons of numerous new software approaches. They all have merits, they all have limitations, and they all need to be applied to appropriate problems.

Chaos! Stress! Everyday mess! Isn’t this an everyday situation for a business analyst? If not, either you’ve job satisfaction or you’re not being introduced to the real world of business analysis.

A person might possess great skills, however, (s)he might not be able to utilize skills without the right mix of tools and environment. A toolbox enables a person to implement the skills in the most efficient way. Possessing necessary tools is just the one part of it. Another is the knowledge to utilize the right tools at the right time to cater the solution and ensure timely committed delivery.

What are these tools? How do we map the usage of tools to the given circumstance? How can we efficiently utilize the tool? Does it depend on the solution or the approach?

Watching the speed by which Information Technology (I.T.) has changed over the last forty years has been amazing. Hardly a day goes by without some new twist or invention. In particular, my interest is in how I.T. can be applied to support the systems needed to operate a business, such as for manufacturing, inventory, order processing, customer service, accounting, human resources, and much more. I have seen a lot during the last four decades, perhaps too much.

Since when were Business Analysts a one stop shop for all project needs? We are expected to be Superheros; well-rounded BAs as well as Change Managers, Test Analysts, Project Managers and Implementation Managers. The boundaries of these other disciplines is often unclear so this article seeks to explore the activities that fall into business analysis and those that should be undertaken within the other disciplines.

It appears to me people still have trouble defining information requirements and, as such, they are at a loss as to how to build total systems. Thereby, they are content building either a single business process or a program. Therefore, here is the conceptual foundation for all system design. Information Driven Design begins with a simple concept...

While others are moving forward introducing new banking products, the Americans find themselves in the role of constantly fighting fires. You cannot move forward until you put your house in order by bringing standard practices and discipline into your work effort. This is what happens when you treat system design as an art form, as opposed to a science.

This article extends design thinking into a process and method that uses a range of common Business Analysis techniques to drive engagement through collaboration. It provides more structure to either side of the creative process to one better frame the domain of concern, and secondly after creativity has produced ideas, to prototype, refine, test and learn. The article also positions this process as a better way to arrive at a business case or pre-project phase, since it provides enormous insights through an engaging discovery process; something that would never occur within a traditional environment into investigation investment feasibility.