Join these Data Driven Leaders.
The first step in becoming a data driven business, is seeing what is possible.
Highlighted Cases
Join these innovators in embracing the modern data fabric.
Scandinavian Tobacco Group
After attempting MDM 4 times, STG discovered CluedIn and built their MDM story within 4 months. Now STG have a full view of their product line, who their customers are and more.
Ledernes
After a drawn out digital transformation process, Ernst and Young chose CluedIn as the best platform to provide Ledernes with a data foundation that matched their ambitions, and thact could deliver on them too.
MLSE
Customer data was scattered across over 20 systems with no clear way of bringing the data together. CluedIn have now integrated over 30 of their systems in record time.
SpringWorks Therapeutics
SpringWorks have over 600 million in funding and wanted to put the best-in-breed platforms into the business. They chose CluedIn as the core of their data foundation and it changed the game.
Large Scandinavian Bank
Nordea was tasked with moving from 4 IBM MDM systems into one new MDM platform. CluedIn provided a modern MDM to automate large parts of their process. The results were incredible.
ISS
ISS and CluedIn ensured local operations were able to manage their own data, while still being able to adhere and comply with regional or global data policies.
SAP
SAP are an impressive technology leader. Utilising CluedIn they were able to elevate their internal operations to accelerate to a modern and data-driven business.
Sitecore
Sitecore provides customer experience for the largest companies in the world. Getting the full picture on their customer is critical to their success.
Unifeeder
Unifeeder and CluedIn achieved integrated data across operational & customer systems, large scale data cleaning and enrichment.
Convergys
Convergys was able to integrate data from 124 systems in just 4 months. This monstrous task was made simple by CluedIn's impressive data integration pattern.
Saxo Bank
Despite having a digital backbone, Saxo Bank wanted to be data driven at the organizational and company level, but they was facing problems with many scattered data sources.
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