Discover how Gain Theory automated their data ingestion and improved collaboration, productivity and time-to-delivery thanks to CloverDX.
Read case studyAnyone can handle the easy 80% of data ingest tasks. With CloverDX, you’ve got the power of the full Data Integration Platform behind you to handle the harder 20% too. So if you’re dealing with an unusual data source, or need more complex mapping rules, you can ingest client data faster with CloverDX.
Connect to any data source (on-premise or cloud) and accept incoming data in any format. Transform data to the format you need automatically, so that:
What CloverDX really allowed us to do is go in and say ‘It doesn’t matter how you’re giving us this stuff, we’re just going to stitch it all together.'
Russ Ronchi, Formula 3 Group/Milo Retail
Handle bad data automatically by building validation into your workflows.
Automatic error reporting and handling processes flag any problematic records, so you know the data that makes it into your platform is accurate.
Getting client data into your platform is just the start.
If you want to keep data flowing on an ongoing basis, CloverDX enables you to set up continuous data feeds so your customers always have accurate, reliable information at their fingertips.
CloverDX can handle large amounts of data and scale easily.
So you can get as much data, and as many customers, onboarded to your platform as you need.
CloverDX also doesn’t charge by data volume, so you won’t be penalized for success.
A leading wealth management firm needed to onboard clients to a Salesforce-based portal.
But their script-based approach was hard to scale, difficult to maintain and error-prone.
They built a solution with CloverDX that adapts at runtime to account for a number of Salesforce exceptions and so limits the number of errors. Now they can quickly add any data feed to Salesforce.
Diameter Health's platform aggregates and normalizes clinical data, enabling organizations to use information from any certified EHR in other applications.
The platform ingests healthcare data from different providers and in different formats. It then has to map it into other formats for use downstream.
Their highly-scalable CloverDX solution automates the whole process:
In this post, we explore 3 automated data ingest case studies, showing how CloverDX can help:
What does a data ingestion framework look like?