Datahub for Pharma
After thorough understanding of the prevailing data scenario the analysts decided to build data pipelines with Lyftron. Within a fraction of the time taken by legacy ETL tools, the analysts were able to build data pipelines to consolidate their data to one single location. The data that was once hidden from analysis is now available. The completely self-service solution helped the analysts to leverage their existing skillset and build a customized solution for the pharma giant within a few days. The new solution oﬀered advanced automation and visualization features for enhanced user experience and better data discovery.
Highlights of the solution:
The Lyftron Advantage
|Data integration & virtualization||Variety||Cost effective||Security and Governance|
Ability to consolidate data of all formats without being obligated by schema or structure of the target database.
Ability to visualize and analyze diﬀerent formats of data.
Cost eﬀective solution with advanced analytical capabilities.
Highly secured and compliant solution with advanced threat protection features.
How we do it
Integrate any data source
Connect to supported data source Marketing Cloud and import metadata. Register essential data sets in the catalog and begin real-time analytics.
Query with SQL in Real-Time
Not all data sources must be replicated to a data warehouse to be usable for analytics. Use SQL for any data source and also query data in real-time.
Transform with SQL
Transform or filter the data using SQL that is translated to source data. Combine the data with other data sources.
Use any BI Tool
Lyftron fully simulates SQL Server on the wire so you can use standard SQL Server drivers available in all BI tools and query Pharma Industry or combine it with other data sources.
Migrate to modern database
Automatically convert data types from data source to match the target database types. A columnar data pipeline will load the data without delays.
Accelerate BI by Prototyping
Shorten BI projects by 4x with a simple trick. First define all required data sets virtually. Build the dashboards on real-time data, consult with business users and replicate the data only when required.