Dec 21, 2025
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This transition from “trust but verify” to “never trust and always verify” is a completely new way of thinking about the architecture of cybersecurity. At the heart of this change is the role of the Business Analyst (BA), who, given their role, bridges the gap between busines...
This transition from “trust but verify” to “never trust and always verify” is a completely new way of thinking about the architecture of cybersecurity. At t...
“Let’s add AI” is not a requirement. It’s a vague wish that can turn into a costly prototype, a security headache, or an embarrassing production incident if...
An inflection point. A forcing function. A once-per-civilization opportunity to prove that human judgment, contextual understanding, and adaptive intelligence remain indispensable ...

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Good news is that the adoption of an agile approach is increasing with more and more projects being successful. As a business analyst / project management professional, it is important to understand how success is measured for Agile projects? What are the key performance indicators and metrics?

In this article, I am going to list down the top metrics for measuring the success of Agile projects/approaches.

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The majority of IT business analysts spend their careers in “reactive mode”. They are assigned to tasks like define the requirements for a new partner loyalty program, create user stories for an enhancement to a billing system, and go about delivering their artifacts.

Data-inspired analysts are those analysts who make a conscious decision to “go upstream” and find data to help their organizations identify the areas of value creation with the highest return on investment before jumping into “solution mode”.

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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. 

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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.

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Requirements management is a critical function for business analysis. Requirements management is focused on ensuring that the business users and stakeholders have the following information available...  But the more important question to have answer to and where the real business value is delivered in requirements life cycle management is answering the following questions:

  1. Are the requirements impacting critical business processes?
  2. Which processes have recurring change?
  3. Are the requirements priorities aligned to key business processes?
  4. Which process will be impacted by which requirements?
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Templates & Aides

Templates & AidesTemplates & Aides: find and share business analysis templates as well as other useful aides (cheat sheets, posters, reference guides) in our Templates & Aides repository.  Here are some examples:
* Requirements Template
* Use Case Template
* BPMN Cheat Sheet

Community Blog - Latest Posts

One of the most underrated skills for a business or system analyst in integration projects is knowing when to recommend a message queue — tools like RabbitMQ, Kafka, or Azure Service Bus. Let’s be honest: not every integration needs one. But when it does, queues can save your system from chaos. What Queues Actually Solve Messag...
When building integrations between systems, one of the first architectural choices you’ll face is how to align data between them. Two main approaches dominate this conversation: direct field mapping and the canonical data model. Let’s break them down. Field Mapping: Simple but Fragile Field mapping means you connect each field f...
System Analysts who work with integration processes should formulate user stories in a way that diverges from the traditional structure. This is primarily due to the need for a more technical and structured description, which allows for the inclusion of integration-specific details. The user story might need to specify exactly what kind of data ...

 



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