How Intelligen Enabled Seamless Data Integrations

for a Women’s Sports Organisation











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A sporting organisation who aims to foster growth, to connect with local communities, protect the reputation of the game, and empower women to shine.

Challenges


Our client required our assistance to address their lack of data platform and data sharing capabilities. These challenges included:

 

Limited Resource Expertise: Insufficient in-house expertise in cloud data warehousing to effectively manage and implement the required solutions.


Lack of Streamlined Data Access for Analytics and Insights: Disjointed data systems and processes hindered efficient access to data, delaying analytics and preventing timely, data-driven decision-making.


Limited Marketing Tool Functionality: Their current marketing tool, was unable to effectively support the organisation’s requirements for seamless data sharing and integration with other systems.


Reporting Roadblocks: Difficulty obtaining reports from vendors posed challenges in providing accessible and timely reports, creating inefficiencies and roadblocks in leveraging critical data insights.

Solutions


To ensure a fast and seamless platform implementation and data migration, Intelligen took the following approach: 


  • Platform POC: Demonstrated Snowflake’s capabilities following an initial requirements assessment, ensuring it met performance and integration needs. 


  • Quick Start: A structured framework to rapidly establish a secure, scalable data warehouse solution using Snowflake


  • Data Pipelines: Implementation of data pipelines to seamlessly transform and feed data directly into the CRM system from Snowflake.


  • Data Sharing: Leveraging Snowflake’s built-in data sharing features to securely access reports from multiple vendor partners also using Snowflake.

The Outcome


Intelligen used their understanding of sporting organisations and Snowflake expertise to: 


Enhanced CRM Integration: A modern Snowflake data warehouse enabled seamless data flow into the CRM system.


Centralised Data Sharing: Created a single repository that simplified data access and collaboration with external vendors.


Scalable Analytics: Strengthened reporting and predictive analytics capabilities, supporting future growth and more sophisticated data use cases.

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