Indiegogo, a crowdfunding service, was looking to create a data dictionary that all its analysts could access for reporting. Its previous systems struggled under the weight of rapidly growing data and caused the team manual work. For example, every time Indiegogo needed to update a definition, it had to go back into reports to manually update the SQL query.
Watch our webinar to hear how Indiegogo analyst teams have a common data dictionary after implementing Looker, a modern business intelligence and data exploration platform, hosted on Amazon EC2 and Amazon Redshift. This resource can be accessed by all analysts to build reports, is reusable across the company, and always contains the latest data.
Key Takeaways:
- Reduce manual updates and automate data reporting definitions
- Easily visualize data across systems and share discoveries with your team
- Modernize your data warehouse using Amazon Web Services (AWS)
