PRODUCT
Data Management That’s Truly Next-Gen
A large pharma company might require highly customized data warehouses with reporting capabilities to support a multitude of teams. A smaller company about to launch an asset might require a subset of these capabilities while maintaining the functionality to scale effortlessly.
%
reduction time to ingest all files with automated ETL process
%
Manual intervention
“D Cube Analytics played a key role in the commercial success of our new drug launch mainly through the speed with which they stood up and delivered our project. We see the value they continue to deliver in optimizing our commercial success further.”
Objective
Introduction
Solution
Combining our domain knowledge and productized approach while keeping in mind the client’s requirements, we deployed our cloud-based data management module DDS Foundations to deliver a next-generation data lake.
DDS Foundations deployed data extractors that extract data from different source systems and load it to cloud storage services. The extractor module comes bundled with a UI interface and is hosted on an Amazon EC2 instance. The extractors loads data to the raw layer built on Amazon Simple Storage Service and post running a suite of data quality algorithms data is loaded to Amazon Redshift.
Post-deployment DDS Foundation delivered a next-generation data lake for the client that enabled
- Completely automated ETL process with the time required to ingest all files reduced by 80%
- Multiple data sources standardized with no overhead of manual intervention
- Modular architecture made it extremely easy to upgrade when scaling up
- Integration of our suite of Pre-Launch dashboards with the data lake
Outcome
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