The idea that data is 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 provide 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. Though data self-service is a top-of-mind discussion topic, our data infrastructure isn’t ready to deliver data that’s ready for business use by the average staff member.
Our methods for managing data need 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 add and manage 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
- To establish the architecture and position systems to support diverse data needs, from the data scientist to the business analyst to the casual reporting user to the 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 a 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, and data stakeholders