Through 2025, 80% of organizations seeking to scale digital business will fail because they do not
In our opinion, incumbent and traditional data platforms managed by IT organizations are primarily focused on very narrow datasets, structured data, centralized governance, and have historically been deployed on-premises. With the proliferation of cloud solutions, the need for a hybrid cloud configuration, and the growing need for wider and continuous data sources encompassing unstructured and semi-structured data sources to fuel AI models – we believe we have reached a tipping point where an alternative approach should be considered. A modern data platform is designed to accommodate not only multi-cloud and hybrid cloud capabilities, but also automated data product delivery as a service and enable multiple use cases.
An MDP is a new approach and architectural pattern of data management. Modern Data Platform provides an automated data infrastructure that continuously feeds analytical models and AI algorithms that learn and evolve as more data is fed into them.
Research firm Gartner predicts:
take a modern approach to data and analytics governance.
Why such a high failure rate?
What is a Modern Data Platform (MDP)?
Key Principles of MDP
To benefit from MDP requires a parallel shift in culture



