Real World Case Studies: Five Success Factors to Implementing an Enterprise Data Fabric


The past decade has seen significant investments in data warehouses, data lakes and data lake houses for a sizable number of organizations with the goal to integrate and access data at scale. Despite these new technical capabilities and strong leadership support, many organizations continue to face challenges when it comes to successfully understanding or retrieving meaningful insights from their data or achieving economies of scale and
alignment across the multiple data initiatives, many of these new projects are failing to demonstrate sufficient business value.

A Semantic Data Fabric has quickly become the fastest growing approach to democratize access to data and connect these siloes. While the concept makes sense, the real question is how it works at scale in large organizations. Enterprise Knowledge (EK) is implementing true enterprise-wide semantic data fabric solutions for a number of large organizations in different sectors in the United States.