How to Architect a Self-Service BI & Analytics Strategy at Scale


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Learn how you can architect a scalable self-service analytics strategy from industry veterans at Microsoft, Tyson Foods, and Gigaom.
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Now available on-demand!

Each panelist will present practical advice on how to structure your data-driven business intelligence (BI) practice – and extend self-service analytics to all of your data consumers to make smarter decisions at scale.

When more people can access self-serve analytics, it creates a flywheel effect, where the use of data improves the organization’s decisions over time, and in turn enhances the data’s bottom-line impact on the organization as a whole.

You’ll learn how to architect your systems and culture to encourage data sharing and to improve data trustworthiness and reliability. We will cover topics that will help you improve data literacy and democratize the use of data across your entire organization.

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In this webinar

You will hear from leading data & analytics strategists on how to establish a data-driven practice with the proper BI programs, strong data governance, and a scalable infrastructure, including:

  • Architecting for a scalable, governed self-service BI stack
  • Avoiding issues with data inconsistency
  • Making data accessible and “analytics-ready”
  • Treating “data as a product” and how to drive real value for all data consumers
  • Fostering an analytics culture with a semantic layer
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Who should watch

Data and analytics leaders and practitioners (including Chief Data Officers, data scientists, business intelligence, and analytics professionals) who are looking to make data more accessible to everyone in their organization.