[Data Ingestion
Connect to any source in minutes](/content/product/data-ingestion/index.html)
[Data Orchestration
Automate, optimize, and manage your data flow from start to finish](/content/product/data-orchestration/index.html)
[Data Connector Agent
Build Data Pipelines Faster with GenAI](/content/product/blueprint/index.html)
[Data Transformation
Turn raw data into business data models](/content/product/data-transformation/index.html)
[DataOps Management
Scale your DataOps from start to finish](/content/product/dataops-management/index.html)
[CDC Replication
Replicate your database to a cloud data warehouse in a few clicks](/content/product/cdc-database-replication/index.html)
[Reverse ETL
Put your data to operational use](/content/product/reverse-etl/index.html)
[Security
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in data source connectors in 6 months
and faster data delivery
replace “black boxes”
Sources
Targets
Pharma giant Bayer connects to 30% more sources and gains unprecedented data access with Rivery
30% increase
Wider data accessibility
Total transparency
About
Bayer is one of the world’s largest pharmaceutical companies, serving over 170 consumer health brands and employing over 100K workers worldwide. The German conglomerate is at the forefront of developing new therapies for cardiovascular disease and cancer and is shaping the future of agriculture at its crop science division.
Challenge
Bayer was utilizing an all-in-one marketing tool that filled the typical “ETL” requirements, all the way from data source to data warehouse and dashboard. But there were drawbacks. The data connectors that came as a standard didn’t cover Bayer’s roster of data sources.
Data transparency also proved to be a major concern. With much of the ETL process hidden in “black boxes” the data delivered wasn’t granular enough. This seriously impeded Bayer’s need for quality data and fast data delivery. Bayer needed a solution to meet its fast-growing data operations.
Solution
Bayer turned to Rivery due its easy-of-use and flexibility. The 200+ fully-managed connectors and unlimited custom connectors were a huge selling point. As soon Bayer made the switch, it instantly connected to the exact sources it needed and countless others – including Twitter and Snapchat. Now Bayer can add any source, anytime, just by providing its API details.
It can then ELT the data straight into Snowflake and plug it to Tableau for a faster and more accurate dashboard analysis.
Outcome
Within six months of implementing Rivery, Bayer has been able to connect to 30% more sources. Bayer now uses Rivery to manage all of its marketing data, and takes full advantage of its integration capabilities, easily ingesting and moving data from Gmail, Amazon S3, SFTP and other marketing sources.
Rivery’s Logic Rivers and end-to-end workflows, enabled Bayer to automate the entire data orchestration process. Bayer can now load data into Snowflake and transform it in a single workflow.