Below you will find a number of IT analysis, design and execution tasks that I’ve lead and worked on again and again. In IT we tend to invent a lot of terminology to be precise on what we are doing – hence the task descriptions are full of IT lingo. But at the end of the day what I strive for is to clarify and break down complexity to get business result. You can read more about my work principles in this blog post.
Domain Functional Analysis
Optimizing outcomes by dissecting domain-specific requirements, paving the way for precise and impactful IT solutions.
Domain Functional Analysis refers to the process of understanding, documenting, and analyzing the functional requirements within a specific domain or field of operation. It involves a systematic examination of the functionalities, operations, and processes that are necessary to fulfill the objectives within that domain.
In the context of an IT consultancy, domain functional analysis might involve assessing the specific functional requirements of the client’s industry or business area. This could include understanding the processes, workflows, data requirements, interactions, and functionalities needed to develop tailored IT solutions or systems that meet the unique needs of that domain.
Ultimately, domain functional analysis is crucial for building a comprehensive understanding of the functional aspects of a particular domain, which serves as a foundation for designing and delivering effective solutions or systems within that domain.
Purpose:
Prepare for the implementation or upgrade of an IT system with a business feature perspective.
Project Duration:
Typically 3 Months process including activating stakeholders and doing sign off.
Related to
RFP, RFQ, Fit/Gap analysis, operational optimization, digitalization.
Solution Architecture
Solution architecture optimizes complex requirements by employing organized methodologies, ensuring efficient integration and alignment with business needs.
Solution architecture involves meticulously understanding and structuring requirements, translating them into detailed process diagrams, and crafting a robust business data model. This includes mapping out data and service integrations based on the model, adhering to master data principles and ensuring seamless connectivity.
Secondary aspects encompass:
- Designing the technology stack and infrastructure to support the solution’s needs.
- Defining system components, interfaces, and interactions for a cohesive system.
- Addressing security, compliance, performance, scalability, and testing strategies.
- Evaluating risks, developing mitigation plans, and maintaining documentation and governance.
By prioritizing the understanding, structuring, and integration of requirements alongside business data modeling, solution architecture ensures a solid foundation for the design and implementation of effective business solutions.
Purpose:
Implement an IT system with focus on the full context.
Project Duration:
Typically 3 Months process including finding stakeholders and doing sign off
Related to
RFP, RFQ, Fit/Gap analysis
Technical analysis and architectural artifacts
Technical analysis plays a pivotal role in both enterprise architecture and addressing explicit technical challenges by providing in-depth insights, assessments, and strategic guidance.
Utilizing technical analysis and architectural artifacts serves as a catalyst for establishing transparent architecture, adeptly managing complexity, and ensuring scalability. These tools enable a comprehensive understanding of systems, aiding in the creation of clear and well-structured architectures while effectively addressing intricate technical challenges and facilitating future growth.
Purpose:
Map out technical impediments in legacy or new systems and plan for remediation.
Project Duration:
Typically 3 Months process including problem/scope definition and sign off.
Related to
Ongoing improvements, IT system lifecycle management, scale up, roll out.
RFP/RFQ Process Planning
Detailing system context, scope, and alignment within the RFP/RFQ process facilitates precise vendor understanding, leading to tailored proposals that seamlessly integrate with the organization’s IT landscape. This enhances vendor responsiveness, ensuring solutions are aligned with current systems, workflows, and preferences, streamlining implementations for effective partnerships and successful outcomes
When we consider RFP (Request for Proposal) or RFQ (Request for Quotation) as a process in procurement, it signifies a formal procedure undertaken by an organization to solicit detailed proposals or quotes from vendors or suppliers. This process involves the systematic gathering of information and requirements regarding system context, scope, and alignment with the organization’s current IT landscape and processes. The inclusion of these elements within the RFP/RFQ process aids in providing vendors with essential background material, enabling them to better understand the organization’s technological ecosystem and tailor their responses to precisely meet its specific needs and expectations. This comprehensive approach to the RFP/RFQ process ensures that vendors can provide more targeted and accurate proposals, enhancing the likelihood of successful partnerships and solution implementations.
Purpose:
Purchase an IT system based on a solid vendor selection process.
Project Duration:
Typically 3 Months process including vendor shortlisting, vendor presentations and scoring.
Related to
Requirements capture, cost modelling, HL solution architecture, vendor collaboration.
Software Design
By prioritizing quality, software design yields systems that exhibit robustness, scalability, and maintainability, reducing errors and facilitating seamless future enhancements.”
The art of software design encapsulates the intricate process of conceptualizing, planning, and crafting software solutions that transcend mere functionality. It involves weaving together technical prowess with creative problem-solving, empathetic understanding of user needs, and an eye for production readiness. This comprehensive approach encompasses not only the creation of intuitive user interfaces but also the meticulous design of robust data models. Data model design forms the backbone of software systems, necessitating a careful balance between the organization’s present data needs and the foresight to accommodate future scalability and adaptability. Moreover, a key aspect of software design lies in ensuring production readiness, wherein designs are not only theoretically sound but also practically implementable, optimized for performance, security, and seamless integration within the existing technological landscape.
Purpose:
Designing the high level structures of a bespoke software system.
Project Duration:
Typically a 3 Months process including high level data model and enterprise integration design.
Related to
Digital transformation, Operational Excellence, customer and colleagues journeys.
sunevang 