5 Things to Know about Project Management for Decision Governance in ODM
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Introducing the IBM Redbooks publication Governing Operational Decisions in an Enterprise Scalable Way
IBM® Operational Decision Manager (ODM), which allows you to capture and automate business decisions, also gives you an amazing opportunity to control the Governance of the decisions. Especially when you invite business users to participate in the decision lifecycle, you will want users to have the right access at the right time, the right testing process, the right deployment process, in other words, the right lifecycle to support your needs.
But implementing Governance may seem daunting, especially for organizations doing rules for the first time. Here are 5 things to know for the Project Manager to help the entire team ensure a successful development of Decision Governance, and the successful implementation in your organization:
You already know how you are going to approach authoring rules and creating decisions. You know if the business people will be authoring the rules, or if you’ll be maintaining an IT-centric development cycle. Whoever will be authoring needs to be consulted on governance, and the business should always be consulted. They know what kind of access they need when, and they know how the project will break down logically. This helps you identify both functional and project roles, an early step in governance. They also understand how the decisions will change.
You’re used to identifying use cases for the functionality of your decisions, but you also need to explore the use cases for change to the rules.
All these situations, and more, affect changes to your decisions. Create use cases for all the changes that can happen to your decisions.
It’s going to be important to bring your workforce up to speed when you implement Decision Governance. Provide training and communication that helps everyone have the knowledge they need to succeed. Everyone needs to know:
A Center of Excellence helps your team work through the changes involved with implementing Decisions and Decision Governance, and helps significantly with developing skills and sharing knowledge. It doesn’t have to be an official organization, especially at first, but as Project Manager, it is up to you to create an opportunity for your Decision practitioners to get together, to share stories and knowledge! Do that, and you will be on the way to ensuring ongoing success for Decisions in your organization!
A sample project process for an initial release of an example project with governance tasks is shown below. Note that Decision Governance tasks are distinct from development tasks, and that, in particular, testing is separate, as noted above.
To learn more about how IBM Operation Decision Manager enables you to Manage a Decision Governance process, how to put Decision Governance in place and how it enables the business to make agile rule changes in a safe and governed way to give your business the competitive edge, refer to the IBM Redbooks publication “Gov
Julie Holm is a Business Policy Architect and Project Manager for Operational Decision Manager Services, based in Camp Hill Pennsylvania. She has been working in Expert Systems, Rule, Case and Frame based reasoning, and Decision Systems methodologies for twenty-five years, and has been with ILOG and IBM since 2006. She has helped a wide variety of customers implement Decision Management Systems including Federal Agencies, Health Care, Finance, Transportation, Insurance and Banking customers, among others. She has been an analyst, designer, developer and rule author, has performed and managed testing at all levels, and has been a project manager and methodology author and has provided production support for a wide variety of Decision Management Systems. She also has a specialty in training and mentoring business users to realize the capabilities of decision systems and to maintain them with minimal involvement from IT.
Julie has a Masters Degree in Information Systems from George Mason University with a concentration in Artificial Intelligence and Expert Systems.