The idea that data is the critical to running our companies is nothing new. Much of our technology investment has been focused on delivering data to support programmers building applications and reports that deliver analysis to users. We never envisioned data evolving from the secret sauce that drives analytics tools to becoming an office supply for every business worker. While data self-service is a top-of-mind discussion topic, our data infrastructure isn’t ready to deliver data that’s business ready for use by the average staff member.
Our methods for managing data needs to expand to support data outside the company’s four walls. Business decisions require data beyond the traditional application environment: syndicated data, cloud applications, media feeds, third-party data providers, and partner systems. We need to be able to support adding and managing new data content more quickly and efficiently. In this session, Evan Levy will discuss the challenges in deploying data self-service and will review various approaches that companies are using to address the self-service data objective.
You Will Learn
- The business data ecosystem and the changes in data usage and sharing inside today’s companies
- How to establish the architecture and position systems to support diverse data needs, whether for the data scientist, business analyst, casual reporting user, or an operational application
- The methods and infrastructure changes required to support the growth in new data sources and alternative data content
- The tooling and methodology changes necessary to migrate from an BI/data warehouse environment to a data self-service environment
- Organizational roles and responsibilities that are necessary to support the shift to a self-service data environment
- CIOs and Chief Data Officers, Data architects, Data developers , Data governance staff, Data management staff , Business/data analysts , Data stakeholders