Jan 11, 2026
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Discover the 10 technology and delivery trends Business Analysts can’t ignore in 2026—plus the practical BA skills and templates to apply them in real projects (AI agents, governance, security, provenance, and outcome measurement).
Discover the 10 technology and delivery trends Business Analysts can’t ignore in 2026—plus the practical BA skills and templates to apply them in real projects (AI agen...
Business analysts turn ambiguity into shared understanding—clarifying real needs, shaping solution direction, and aligning stakeholders and delivery teams. This article explo...
2025 didn’t just bring new tools—it exposed weak habits. In this year-end recap, the author of Modern Analyst’s 2025 trends article reflects on what really happen...

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The reason why top performing business analysts tend to be so effective in complex projects, even when their domain knowledge is limited, is because of their ability to see things from a higher angle and with more nuanced colors.
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If someone said you could only perform a single quality practice on a software project, what would you choose? I’d pick peer reviews of requirements, which I believe are the highest-leverage quality practice we have available today.  In a peer review, someone other than the author of a work product examines the product for quality problems and improvement opportunities. Reviewing requirements is a powerful technique. Use them to identify ambiguous or unverifiable requirements, find requirements that aren’t sufficiently detailed yet, spot conflicts between requirements, and reveal numerous other problems.

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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.
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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.

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Many professionals approach us after being unsuccessful in CBAP so we thought of doing some analysis to come up with the most common reasons of failure in CBAP.

There are many articles and blogs giving tips on how to pass the CBAP exam but on a first search, I didn't find any article explaining why people fail in CBAP. This will definitely help the CBAP aspirants to make sure that they don't repeat the mistakes.

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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 designing ERP integrations (for AR/AP document flows), Business/System Analysts often face a range of “gotcha” questions — technical, architectural, and sometimes unexpected. Here are some of the real-world questions I ask clients during the API and ERP connector discovery phase: What’s the minimum required ERP v...
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...

 



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