Datahub for media
A US based media production and broadcasting house, with over 15 television channels and a growing movie production business decided to oﬀer personalized viewing across all channels including web and mobile with a target of reaching 500 million viewers in emerging economies.
The company decided to begin implementing their strategy by understanding user behavior, however, they were not satisﬁed with the market segmentation tool that they were using to collect behavioral data and felt the need for a deeper understanding of customer behaviors across various channels to improve their oﬀerings.
Highlights of the solution:
The Lyftron Advantage
|Data discovery and search||Quick turnaround time||Data-driven expansion plans||Security and Governance|
Advanced data discovery features to unravel hidden patterns.
Quick insights available for data-driven decision support.
Valuable insights to fuel expansion plans.
Highly secure and compliant solution with early stage threat detection capabilities.
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 Media 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.
Our Modern Data Ecosystem
Satisfy your thirst for better data outcomes.
What challenges are you trying to solve?