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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When it comes to Predictive Analytics, several algorithms can allow you to use the available data by constructing a prediction model. Previously, we looked at a few algorithms designed to calculate probability. Another popular predictive analytics and AI algorithm is a Decision Tree known as C4.5.
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Sometimes I find it difficult to explore new pieces of work in a structured way. When given a new challenge / piece of work it’s easy to jump straight into a solution. However as BAs we first need to understand the problem area better.

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As more organizations move toward agility, development and project management teams still struggling to define a common language and standard regarding the agile framework. In addition, many organizations that are implementing agile approaches have not fully planned the transition and are still unclear on how to fully optimize the approach. One area that continues to remain vague is the role of the business analyst (BA). Below are some steps to help business analysts navigate their way through the transition to agile and add the most value to their agile teams.

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Surely facilitation is an important part of a business analyst’s job, but it is far from the only part. Analysis in itself should always form the core of a business analyst’s responsibilities.  We are called ‘analysts’ for a reason! Facilitating information gathering and translating it to ‘requirements’ doesn’t make you an ‘analyst’. Go above and beyond, and add value by ‘reasoning backwards’ and ‘reasoning analytically’.

 

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One of the Sidebars to the Business Agility Manifesto introduces the notion of Reconfiguration Agility. It’s a fundamental capability your organization needs in the Knowledge Age. What’s it about?  In the big scheme of things, you have two basic choices for conceiving, and ultimately implementing, business capabilities: procedural or declarative. They are fundamentally different.  Traditionally, the vast majority of business systems have been modeled and constructed on a largely procedural basis – virtually all things tied together step-by-step in processes. Unfortunately, that procedural approach simply doesn’t scale.

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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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