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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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?

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A replacement project replaces an existing software system with a new custom-built system, a commercial off-the-shelf (COTS) system, or a hybrid of those. There are some challenges that most replacement projects share, including stuffing in unnecessary functionality, degrading the organization’s operational performance, users refusing to adopt the new system, and having such a large project that it never deploys. Focusing requirements practices on addressing these issues directly can increase the likelihood of a system replacement that delivers the desired value and is accepted by the users.
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The most time-consuming process of doing analysis in Excel is data cleansing which can be extremely slow and laborious. However, it is very important because the cost of a mistake caused by incomplete information, discrepancies and outliers, can cause serious faults in your analysis that could significantly impact business outcomes. With the purpose-built data preparation software, you can eliminate the pain of data cleaning and improve your data quality. This article shares eight key ways you can significantly boost your productivity with Excel using purpose-built data preparation software...
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Non-functional Requirements capture conditions that do not directly relate to the behaviour or functionality of the solution, but rather describe environmental conditions under which the solution must remain effective or qualities that the systems must have. They are also known as quality or supplementary requirements. These can include requirements related to capacity, speed, security, availability and the information architecture and presentation of the user interface.

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Most professionals in project management understand that in order to successfully approach a project, the problem statement must be clearly defined. The problem is that many practitioners treat problems and opportunities interchangeably when developing Business Cases and Project Charters. Understanding the difference between problems and opportunities is critical to selecting the optimal approach any project. 
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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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