Jim Halcomb has deep and diverse global data management experience in financial institutions, exchanges, and regulators. He led the development of data management best practices and was a primary author of the CMMI’s Data Management Maturity Model. Jim leverages his background in corporate strategy, business intelligence, and his extensive experience in various business models and cultures to train and assess organizations against data management principles and best practices.
Track: Professional Disciplines: Best Practices
Presentation Title: Why Analytics Fails and How to Fix It
Professional Discipline: Data Management
Presentation Summary: Organizations typically treat data as a byproduct of technology-enabled processes. Data managed at this level is focused on improving process results. This approach breaks down where data is used by downstream applications. Analytics is at the end of the line for data, effectively exposing weakness in the data infrastructure. Without a data management program, analysts maintain the quality of data they consume. This is a source of frustration for analysts and their efforts rarely benefit the organization at large. We will discuss: typical struggles thwarting analysts, data management practices that would help, and how to navigate this journey using the DMM.