Who, What, and Why? A Functional Model for Data Management
With virtually every corporate decision relying on the quality of the company’s underlying data, and the volume of enterprise data doubling every 18 months*, it is essential for companies to firm up their corporate data governance and management processes. But that raises the eternal question, “Who does what? And why do they do it?”
In this webcast, consultant and author Jill Dyché gives her irreverent and often-heretical take on the answer to those questions. She’ll discuss your company’s readiness to tackle enterprise information management, the steps you should take, and how you know who to hire, who to move aside, who to promote (hint: you). Central to Jill’s message will be the evolving role of the data steward and why data quality is—and remains—a top corporate priority, irrespective of your data governance model.
Join Jill and SAP for a fresh and timely take on enterprise information management.
What’s driving change in data warehousing (DW) and business intelligence (BI)? There are obvious scalability issues, due to burgeoning data, reports, and user communities. Plus, end-users need more real-time and on-demand BI. For many organizations, integrating existing systems into DW/BI is a higher priority than putting in new ones. And the “do more with less” economy demands more BI at lower costs. Hence, most drivers of change in BI and DW concern four Mega-Trends: size, speed, interoperability, and economics.
You Will Learn:
- What to do based on where you are
- Whether you’re ready for enterprise-level data management
- How Jill knows on the first day of a project whether a company’s data will really be viewed as a corporate asset
- How SAP’s offerings drive rigor in data management and data quality efforts