Organizations often face significant challenges accessing information due to siloed content spread across systems such as websites, intranets, documentation, and training materials, each governed by separate taxonomies. This fragmentation limits efficient knowledge discovery and slows decision-making. Key goals include saving time in finding information, improving insight generation, enhancing competitiveness, and increasing user satisfaction. Proposed solutions like federated search and data lakes can help, but often fall short due to lack of semantic context and poor result quality. A semantic layer approach addresses these gaps by connecting data meaningfully across systems, improving findability, consistency, and overall knowledge management effectiveness.

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