ST🚫P confusing agile software development methodology with business agility.

✨Business agility is the ability of an organization to sense environmental change and respond efficiently and effectively to that change. In particular, in industries such as #banking, #insurance, #government agencies, #healthcare, #hospitals, and so on, these changes are derived from customer demands, regulations, and law changes, as well as the competitive marketplace where the organization is operating.

💥Historically, agile software development has helped organizations with better transparency and iterative development and reduces risks by continuously validating assumptions. In comparison with other SDLCs, agile provides massive improvements where organizations used to invest so much time in upfront analysis and design for the projects that they could have avoided.

🧑‍💻An agile software development process might be suitable for LOB applications such as inventory management, CRM, ERP, or any other projects for which the requirement is more known, clear, and less rigid. When it comes to decision-making in operations and SMEs projects, the requirements are not as clear and structured. This is the trouble as these teams demand agility, which I mean business agility.

This is where agile software development process falls into the cracks.

🤔Why is that? Decision-making projects for operation and SME teams are very demanding and highly dynamic in nature. They have lots of moving parts and many dependencies. The requirements cannot be really clear; things change often, like business rules, regulations, and customer demands, so it will pose lots of pressure on the development. Additionally, they require lots of mass personalization as well.

🤑There is nothing wrong with testing agile software development methodology with decision-making projects, but the issue is it becomes very, very expensive and time-consuming.

💣What is the alternative approach? Build the #DecisionOps team for decision-making projects using #ai #ml #businessrules #data. This is a cross-functional team with access to tools such as Decision Management or #decisionintelligence platform DIP, allowing them to build decision automation projects quickly with minimum reliance on software development and IT teams. They become responsible for decision governance, decision modeling, testing, operationalization, and measuring and monitoring organization decisions.

Posted here.

Published March 29th, 2024 at 07:30 am