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 ...

More Articles

Oct 20, 2024
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Psychological safety has been reported to result in increased knowledge sharing among software development team members. Studies found a positive correlation between social interaction, team psychological safety, and synergistic knowledge development. When team members feel safe and confident that the environment is free of blame and consequences, they are more inclined to share information. Synergistic knowledge development is observed when a group amalgamates the diverse perspectives of its individual members, thereby leveraging the collective knowledge of the group.

Oct 13, 2024
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In the vast landscape of project management, few challenges loom as large and insidious as scope creep. It's the silent saboteur that can derail even the most meticulously planned projects, leading to missed deadlines, ballooning budgets, and frayed nerves. When it comes to Big Rock Projects—those monumental undertakings that hold significant strategic importance for an organization—the stakes are even higher. These projects are the bedrock upon which future success is built, and allowing them to veer off course due to uncontrolled scope expansion is not an option.

Oct 06, 2024
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Planning, managing, and delivering business requirements are daunting undertakings in any organization. It requires a lot of human resources and despite great efforts, the success rate of digital transformation project delivery is usually very low in most organizations, according to Boston Consulting Group and the Harvard Business Review. In this article, we’ll touch base on two methodologies that address today’s challenges of managing and crafting valuable business requirements, one of which is based on generative artificial intelligence.

Requirement Management in TOGAF Enterprise Architecture

Requirement Management is at the center of enterprise architecture as shown in Figure 1 below. In The Open Group Architecture Framework (TOGAF), a requirement is defined as a statement of need that must be met by the architecture. It typically represents a high-level capability that must be met by the system or enterprise architecture to satisfy a contract, standard, specification, or other formally imposed document. Requirements in TOGAF serve as the basis for planning, defining, designing, and realizing architectural solutions at the business, application, data, and technology levels. They play a crucial role in guiding the development of the architecture to be delivered, ensuring that the final outcome aligns with the strategic goals, stakeholder needs, and operational demands of the organization.

Sep 29, 2024
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In project management, while the stakes may not involve the fate of kingdoms, the power dynamics are just as critical. Managing a project is akin to maneuvering through a complex political landscape—success depends on mastering influence, timing, and relationships. A single misstep can jeopardize the entire project, risking all your efforts. As a business analyst, you’re not just a strategist; you’re a key player in a high-stakes game where victory depends on how skillfully you handle shifting alliances, influence, and timing. To succeed, you must sense the right moments to act, anticipate opponents, and adapt swiftly. Remember, there’s no middle ground—either you guide the project to success or watch it slip away. Here’s how to master these dynamics and emerge victorious.

Sep 22, 2024
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Psychological safety (PS) is the shared belief among team members that it is safe to take interpersonal risks in the workplace. PS is relevant to software development (SD) teams, particularly those using agile practices. Some practitioners even claim that “agile doesn’t work without psychological safety”. Effective collaboration, creativity, and collective problem solving are fundamental in everyday SD teams. PS fosters an atmosphere where team members feel free to share their views and opinions without fear of judgment or retaliation, thereby facilitating an environment conducive to effective collaboration. In a psychologically safe workplace, individuals are comfortable sharing their opinions, worries, or doubts, seeking support when required, and acknowledging errors without fear of being blamed or punished. In such an environment, teams and their members feel empowered to take ownership, innovate, take initiatives, and assume responsibility for their deliverables, resulting in better outcomes. The question, then, is how to achieve and sustain a psychologically safe workplace in the context of software development.

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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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