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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Business Requirements Advocacy is neglected in the business analysis practice!  Once considered to be an essential part of IT teams, the business analyst has become an integral position in any successful, market-driven organisation. Rightly said to be the change agents for any business, business analysts help organisations adapt to the changing environment while meeting the needs and demands of all their stakeholders, including employees, customers, and suppliers.

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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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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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