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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The most crucial thing recent economic turbulences have taught business leaders- is managing risks. From increased geopolitical conflicts to recession fears, how organizations manage risks says a lot about their future.

Although eliminating all vulnerabilities is practically impossible, you can still control some variables and risk factors to ensure your projects do not go off the rails.

Let’s explore some practical tips, tools, and frameworks to help you identify and mitigate risks faster and more effectively.

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A Technical Business Analyst (TBA) is a professional who bridges the gap between business and technology. They are responsible for understanding the business needs of an organisation and translating those needs into technical requirements that can be implemented by developers. TBAs typically have a strong understanding of both business and technology, as well as the ability to communicate effectively with both groups.     A digital business analyst (DBA), just like a TBA, is a professional who bridges the gap between business and technology. And, just like a TBA, they are responsible for understanding the business needs of an organisation and translating those needs into digital solutions that can be implemented by developers. DBAs typically have a strong understanding of both business and technology, as well as the ability to communicate effectively with both groups.

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A job interview is the most crucial and stressful step on the path to a new job. Very few people can “wing” it. Usually, these are experienced professionals who have done it many times. They would have practiced so much that they’ve become interview athletes.

How to become an expert at winning job interviews, in particular for jobs in business analysis? Follow these steps to prepare, practice, analyze your performance, and improve with every interview.

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There are several technological or stakeholder needs that are not officially listed but are of importance. Business analysts must identify the conditions necessary to access pertinent data; this is where elicitation techniques come into play.  Elicitation is the foundation of every project because it puts the project's requirements under the light. If elicitation is done wrong would lead to major failure and abandonment. Therefore, the elicitation process requires appropriate study and planning to prevent the likelihood of fatal errors impeding a project. But the question here is how can a business analyst gather requirements. In this article, we tell you the best elicitation techniques to collect information efficiently.

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As a general-use technology, artificial intelligence (AI) is being likened to the steam engine and its effects on the economy in the 17th century. As a result, it is generally agreed that AI and its applications have the potential to significantly alter entire industries through the disruption of value creation and the impact of business models and organizations through a number of mechanisms, such as the redistribution of decision-making authority. Artificial intelligence is changing the nature of work and the workplace as a whole through its integration into processes and activities. Developing a more in-depth comprehension of the consequences and implications for future companies and professions is essential for a new technology like AI. AI is transforming the way we produce software in general, from enhancing code quality to shortening the time required for repetitive chores like debugging and testing. The many advantages brought to the table by artificial intelligence would help engineers become more productive and efficient, thereby revolutionizing the software development process. It is relevant and important to not only investigate how AI might improve process productivity and efficiency but also to take the first steps toward understanding how to adopt a technology that is here to stay. Some of the potential AIs tools we may consider are ChatGPT, Copilot, and TabNine. ChatGPT is a chatbot powered by a big language model. It makes use of an AI designed to have in-depth conversations with humans in order to provide solutions to complicated problems. Its capacity to have natural-sounding conversations and respond in ways that make it seem human is quite astonishing. Copilot or “AI pair programmer” is a language-agnostic AI that can provide coding ideas through natural language questions, having been trained on billions of lines of code. TabNine is an artificial intelligence code completion helper to get extended snippet ideas and focused line code completions. TabNine reuses an organization’s common coding patterns to reduce unnecessary developer toil.

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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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