Top Semantic Layer Use Cases and Applications (with Real World Case Studies)

Today, most enterprises are managing multiple content and data systems or repositories, often with overlapping capabilities such as content authoring, document management, or data management (typically averaging three or more). This leads to fragmentation and data silos, creating significant inefficiencies. Finding and preparing content and data for analysis takes weeks, or even months, resulting in high failure rates for knowledge management, data analytics, AI, and big data initiatives. Ultimately, negativity impacting decision-making capabilities and business agility. To address these challenges, over the last few years, the semantic layer has emerged as a framework and solution to support a wide range of use cases, including content and data organization, integration, semantic search, knowledge discovery, data governance, and automation.