It’s been said that “data is the new oil” powering twenty-first-century organizations. It’s true—companies that want to create a 360-degree view of customers, become a digital competitor, or optimize their supply chains all need to master data first. However, the data in most companies is a mess. It’s strung together haphazardly with duct tape and baling wire, and it requires oodles of manual intervention to keep data flowing. Most data that makes it to users is not readily usable.
This class provides a framework for creating and executing a data strategy. It defines a data strategy, steps through the process of creating one, and describes best practices for implementing one. In a short three hours, attendees will be armed with everything they need to know to succeed with data and analytics, including the right people, right processes, right organization, and right architecture, among other things. This class boils down nuggets of wisdom gleaned from 25+ years in the field.
You Will Learn
- What is a data strategy and what is not
- The key steps and components required to create a data strategy
- Best practices in implementing a data strategy
- How to balance architecture and agility, speed and standards, governance and self-service