While data quality and self-service analytics may seem to compete, a properly built analytics resource center can achieve high levels of excellence in both areas.
By understanding and meeting the data needs of end users, data sources can be validated and prepared for proper use, while also adding data sources as new use cases emerge.
This approach allows for data quality — everyone works from the same data sources, and self-service – dashboards can be created by end users.
In partnership with Becker's Healthcare, viewers of this webinar will:
- Explore what facilitates self-service analytics
- Review how to build an analytics resource center that best serves end-users
- Learn how to engage disparate groups in the advancement of enterprise analytics use
About the speakers
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