Creme Global Solution

Data Foundry platform

Powerful and Expandable Data Collaboration Solution

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Collaboration Made Simple

Data Foundry is a data collaboration platform which allows organizations to share and combine data from multiple sources. From internal data, external data sources, powerful proprietary models and advanced visualization capabilities – Data Foundry can deliver improved decision making powered by data.

Modular and data source agnostic

Data Foundry plaform architecture is designed to simplify journey from data collection to advanced modelling and visualizations. Explore distinct platform layers and find out more about ways it can integrate with your data.

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Upload, host and share confidential internal company data (audit, risk score, etc). Your internal company data can easily be collected by using a simple file upload function, customisable data collection templates or various connectors to ERP, LIM or data sources such as SAP, Oracle etc. Data Foundry can also connect automatically to open source data via APIs which we set up and maintain.

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Using industry leading AWS cloud solutions, your data will always be protected and available. We’ll handle connecting and maintaining external data sources, either private or public.

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Activate your collected data by using our existing predictive models solutions, or explore new model development with our team. Combine your data with public datasets for improved results accuracy. Benefit from advanced data processing and analytics by using machine learning and/or Bayesian network models.

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Use our advanced visualization solutions (powered by Qlik) to access results of your data processing in comprehensive and customisable dashboards. Your collected data is instantly reflected in dashboard results.

Our data collection and sharing platform is relied upon by some of the largest companies and main regulatory bodies from around the world.

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Find out more

Talk to us today about how Data Foundry can be configured and deployed to solve your data collection and visualisation challenges.