Listing Thumbnail

    Fan Data Platform Accelerator

     Info
    Sold by: Slalom 
    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.
    Listing Thumbnail

    Fan Data Platform Accelerator

     Info
    Sold by: Slalom 

    Overview

    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.

    Highlights

    • Data accelerator with repeatable codebase to bring together disparate data sources regarding the fan to unlock insight.
    • AWS Optimized architecture for cost and performance benefits

    Details

    Pricing

    Custom pricing options

    Pricing is based on your specific requirements and eligibility. To get a custom quote for your needs, request a private offer.

    Legal

    Content disclaimer

    Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.

    Support

    Vendor support