Unprecedented levels of data scale and distribution are making it almost impossible for organizations to effectively exploit their data assets. Data and analytics leaders must adopt a semantic approach to their enterprise data assets or face losing the battle for competitive advantage.
Impacts and Recommendations
- Entrenched Data Silos Limit Capacity to Draw Insights
- Nonsemantic Modeling Hampers Application of Data to Previously Unforeseen Use Cases
- Technologies Supporting Semantic Data Models
- Digital Businesses Have Limited Ability to Source and Integrate External Data Without a Semantic Approach
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