Before undertaking a business intelligence or data science initiative, consider the approach required to make the project successful and valuable to the business. Are the stakeholders aligned? Is the project technically feasible? Does it produce quantifiable business value? How do we define success? What does done look like?
These questions are often left to be asked and answered along the development timeline, leading to scrap and re-work, timeline protraction, scope creep, and unhappy customers. In this session, we discuss how to create a cohesive strategy for business intelligence projects that drive success and create quantifiable business value.