A data platform is a complete solution for ingesting, processing, analyzing and presenting the data generated by the systems, processes and infrastructures of the modern digital organization. While there are many point solutions and purpose-built applications that manage one or more aspects of the data puzzle effectively, a true data platform provides end-to-end data management.
A data platform is more than a business intelligence platform. While the latter incorporates relevant data to improve a business's decision making, a true data platform manages more types and structures of data across the enterprise, including not only the data used to ensure security, privacy and compliance, but also IT and technical operations data — all the data your business ingests or generates.
Today’s businesses can build an infrastructure drawn from thousands of applications and services to meet specific needs, but individual solutions are often unable to integrate with each other effectively. The result is silos — data sets that can’t be shared with other teams and for other purposes within larger organizations. That frustrates the power of data analytics to identify challenges and opportunities.
One of the many benefits of using a modern data platform is centralization — a single platform that can be used across an entire organization, preventing silos and providing actionable insights based on a holistic view of the organization’s data. But to do so effectively, the one must be able to take in data from nearly any source without introducing additional complexity. Simply put, a data platform should improve your organization’s ability to learn from and act on any and all of your data.
Below, we’ll dig deeper into what defines a data platform and the qualities you should look for when choosing one for your organization.