Datalake Implementation

moderndataplatform

Client 

Leading provider of physical therapy

The client is a leading provider of research-based physical therapy and rehabilitation.

Project scope

Rebuilding Data Lake

The client wanted to leverage big data technology to improve the effectiveness of healthcare in the following areas:

  • Reducing operation costs
  • Rebuilding their data lake to avoid data replication to serve different systems
  • Simplify the warehousing process

Solution

Data warehouse model redesign

Datametica redesigned the client’s data warehouse model. We built a new Data Lake which acts as single point of truth and reduces data replication efforts to serve different downstream applications. The model will bring down operation and licensing costs, and establish easy process across different teams.

Solution

Data sanitization/data reconciliation track

Datametica built a data sanitization/data reconciliation track, which involved ingesting the visits, data validation, exception handling and de-duplicating records.

Benefits

costsavings
Decrease costs

The redesigned model brought down the operation costs by a huge margin

operational
Efficient & Accurate

The new model was able to churn the output in an efficient and accurate manner

diamond
Single point of truth

Simple data model and single point of truth, acting as consumption point for different applications

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