Project Management

All projects can benefit from an impartial final review, also called a “post-mortem,” to learn about successful activities, to improve upon mistakes, and to develop

Every project, especially for complex initiatives in data warehousing / business intelligence / analytics, can fail because of poor project management practices.  Following these bad

Agile project management requires self-organizing teams that can adapt to a variety of projects, including data warehousing, business intelligence, and analytics initiatives. Extreme Scoping is

Data warehousing / business intelligence / analytics programs require a different approach to project management.  Quick deliverables, simplified scope, and attention to rapid results are

If information should be treated as a product, then it should be managed accordingly.  All information should be assigned to a product manager. Information should

Communication and miscommunication affect projects and so much more. There are simple steps anyone can take to improve all communications Most people have witnessed situations

It is important to connect program-level agile frameworks with data and analytics delivery and the variety of application programs that will benefit from agile, flexible

Waterfall and agile project management styles have strengths and weaknesses. Both are suitable in specific situations. Know the strengths and weaknesses, and when to use

Project risk assessment and management are important project management activities. All project managers should assess risk for every project and manage it appropriately. Introduction Risk

Integrating the components of enterprise information management into a project centric organization can be challenging, but it is essential for successfully using data as an

Project management requires the use of a solid framework and an experienced project manager to ensure the success of any project, any size, in any