How can you transition your analytics from a rigid and costly approach with restricted value to a very few, to broad adoption to empower data-driven business models with an agile and cost-effective approach?
This is what Chris Dean has achieved multiple times in numerous organizations and has ultimately been recognized as a top influencer by DataIQ 100 for that.
In this session, Chris shared his experience so you can fast track your own analytics transition to a modern data stack with broad democratizing to the business stakeholders.
You will learn why selecting a Cloud Analytics solution is a necessary step to move away from on-premise analytics. What are the challenges to this migration and what does it take to overcome them.
What does a modern cloud data stack look like? What is a Cloud Data Warehouse? How does it compare to a Data Lake? How do you onboard business stakeholders to the new solution? How to enable self-service analytics? How do you break the data silos? How do you make the IT Enterprise Analytics group collaborate with business users more effectively? How to accelerate analytics project delivery from months down to weeks or days?
Chris will respond to all of these with practical tips and will share his experience in the Google Cloud leveraging BigQuery, Cloud Dataprep by Trifacta, and BI technologies he implemented.