Level: Beginner to Intermediate
The idea that data is the critical ingredient to running our companies by the numbers is nothing new. We’ve developed methods to move data between our application systems and data warehouses in a fast and scalable manner. We’ve delivered business intelligence (BI) solutions to enable users to become knowledge workers. And it’s still not enough. It’s not enough because the sources of data and the needs of users continue to grow.
Many corporate data ecosystems are based on a vision that is 20 years out of date. Our methods and tactics for managing and processing data must expand to support data outside the company’s four walls. Business decisions require access to data outside the traditional IT infrastructure: cloud application platforms, social media feeds, third-party data providers, and business partner systems. We need to be able to support adding and managing new data sources and content more quickly and efficiently. If data is truly a corporate asset, it needs to be accessible and usable by anyone in the company.
In this session, Evan Levy will discuss the challenges within our corporate data ecosystems and the issues associated with supporting the enormous growth of new and diverse data content and sources. He will review various approaches and methods to tackling these challenges and how leading companies are succeeding in addressing their companies’ data objectives.
This is part of an optional Data Strategy Bootcamp. Learn more about the courses offered, or attend this individual course.
You Will Learn
- The business data ecosystem and the changes in data usage and sharing inside today’s companies
- The most common data challenges in the era of big data and cloud computing
- The methods and infrastructure changes required to support the enormous growth in new data sources and alternative data content
- Tactics for managing data movement within (and outside) of your company; for reviewing tooling to simplify and automate data access and usage; for positioning users as stakeholders in data improvement processes (quality, correction, monitoring, etc.); for delivering (or deferring) data self-sufficiency; and for managing data content at the enterprise, organization, and user levels
- Aligning your company’s data needs with their tactical business priorities
- CIOs and chief data officers
- IT program managers
- Business sponsors and end users
- BI program management
- Data management staff