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Fan Data Platform Accelerator

Slalom's Fan Data Platform Accelerator can help you create a data platform with speed and ease to change the way you interact with fans to provide them richer, more personalized experiences, which can result in more sales, retention and loyalty. Specifically built for the sports industry, this data platform has been built with interchangeable components, accounting for integration with some of the sports industry's most frequently used software vendors or your chosen vendors. Leveraging AWS services, the accelerator provides pre-built pipelines for seamless data ingestion and curation.

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About

Sporting organisations often struggle to quickly capture and leverage data about their fan base. This can be due to technical limitations or complex business structures. It is becoming increasingly important for sports clubs to ingest large volumes of complex data to build out a comprehensive customer view.

The Fan Data Platform enables clubs to unlock a 360 degree view of fan behavior to create personalised timely experiences that benefit both fans and clubs.

Slalom has partnered with AWS to create a repeatable template for a Data Warehouse Platform that accelerates solution delivery with sporting organizations (e.g. Premier League football teams, Rugby teams, & F1) using AWS native solutions to ingest key data pipelines, consolidate critical data sources, and accelerate the ability to generate actionable insight.

This accelerator enables sporting organisations to:

Understand the value of fans through a fan 360 (all available touchpoints of a fan in one place)

Gain key insights to better support fan needs

Improve marketing conversion rates and campaign successes

Integrate their platform with any data source

Leverage a base data model as a starting point and a framework to build out further for client needs. (Base model includes customer dimension tables, ticketing tables)

Serve data for integration into visualisation tools (e.g. Quicksight), supporting data driven decisions using the DWH and integration reporting solutions

Implement a clear repeatable process for onboarding new data into a Data Lake/Warehouse

Scale and avoid future rework if requirements change

Key features:

Automated data ingestion: Kickstart data ingestion by directing the accelerator to your source system API’s.

Data catalog: Enable easy and efficient data discovery with a centralised data catalog spanning across all layers of the data lake.

Modelled Data Warehouse: Seamlessly ingest your data into a dimensionally modelled Redshift Data Warehouse.

CI/CD: Automated deployment of any new features you wish to add on-top the platform.

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