AtScale, the leading provider of semantic layer solutions for modern business intelligence and data science teams, released the results of a new report entitled “Business Impact of Using a Semantic Layer for BI & AI.” Conducted by the DBP Institute, a data and analytics research firm, the report quantifies the business impact of using a semantic layer for a company’s business intelligence (BI) and artificial intelligence (AI) initiatives.
“More robust projects can be accomplished in less time, with fewer resources, making it easier for analysts to drive value from a business’ data assets.”
A semantic layer maps complex enterprise data into well-defined business metrics, creating a single, consistent, structured, integrated data product (dataset) ready for analysts and data scientists to consume. A semantic layer enables centralized governance while supporting distributed data product creation across teams.
Businesses using a semantic layer realized a dramatic improvement over the base level performance of those not using a semantic layer. Respondents cited a greater than 4 times improvement in time-to-insights, scale and cost savings from data and analysis projects.
Key findings about semanticlayer use included:
- Lowers Costs: Using a semanticlayer reduces the cost of analytics and AI/ML projects by 50%.
- Speeds Time-to-Results: A semantic layer cuts the completion time for a typical project to one quarter of the typical length, from 4 months to just 4 weeks.
- Fewer Resources Required: The research showed that semanticlayer use resulted in a 46% reduction in level of effort needed.
“The semantic layer is a proven, trusted software component within the modern cloud data platform technology stack that focuses on improving the speed to actionable insights for BI and AI/ML,” said Prashanth Southekal, managing principal, DBP Institute. “This research, based on actual experience from senior enterprise data and analytics participants who have chosen to deploy the use of a semanticlayer, quantifies the actual benefits of using such a solution to realize the benefits of achieving speed, scale, and greater cost savings to deliver actionable insights from AI and Business Intelligence (BI).”