Nov 30, 2025
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This article describes using a Requirements-Friendly Data Dictionary (RFDD) as an alternative to representing a software solution’s data-related requirements as User Stories, Use Cases, or traditional Waterfall Requirement statements. Any of these forms can still be used to document the soluti...
This article describes using a Requirements-Friendly Data Dictionary (RFDD) as an alternative to representing a software solution’s data-related requirements as User Stories,...
For business analysts, those unsung heroes who sift through mountains of information to guide corporate decisions, data privacy emerges as an unexpected ally. It's the secret w...
Learn a simple, practical method for turning vague wishes like “the system must be fast and secure” into concrete, testable non-functional requirements that developers,...

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There is much to say about the often challenged relationship between IT and “the business” that has existed since IT became IT. Centralization, decentralization, self-service tools and applications, enterprise tools and applications – the pendulum swings again and again.  You’d think by now that we’d get it. There is no one all-encompassing data management or BI solution that will satisfy all of your data related requirements.

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In this article, I am going to focus on the key 3 tools that you can use to help you identify the pain points in your workflow.  One of the key things to identify when working in a visual manner is understanding where your blockers are. It is only when you have identified these blockers, you then able to do something about them. There is no use trying to change something when you don’t have the evidence to baseline the problem. As business analysts, we wouldn’t tell the business where the problems are without conducting a thorough root cause analysis. So, why do we do it at work, why do we think without evidence we know exactly what the problem is and the impact it has on. 

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The purpose of this article is to cite an example of using Lean-Agile project management for a small home construction project – a bathroom remodel. The remodeling firm unknowingly uses a Lean-Agile project approach that was the result of lessons learned over years of experience. In fact, when I questioned the remodeling firm about Lean-Agile, the firm’s response was “What is that?” Regardless of what you call it, the firm uses their construction approach because it works.

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Somebody inquired to me in one of the professional networking site if I can suggest what the difference between a Business analyst and data analyst is.

This is a dilemma that is common in the minds of numerous professionals who are new to Business analysis or intending to get into this space.

As the name proposes a first hand analysis by any layman will state that the business analyst role includes analysis from a business perspective, though the data analyst role deals with primarily analyzing data.

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In order for any project or initiative to be successful, an agreed upon business need must be determined. This need may present itself as a problem or an opportunity. Business Analysts must be able to guide the business in articulating which of these is the catalyst for the initiative prior to starting any BA work. Projects without a clearly defined business need get drawn out due to issues such as increased stakeholder conflict, poorly defined requirements, and excessive rework. So, to save you some pain and effort, below are some reasons why defining the business need is a critical starting point for any organizational change.

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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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