November 22, 20223 Data Analytics Challenges and How Decision Intelligence Can Help You Tackle Them
AtScale partnered with the DBT Institute to research current sentiment among analytics professionals on the impact a semantic layer has on enterprise analytics. The recently released report, “The Business Impact of Using a Semantic Layer for AI and BI,” examines the business impact of a semantic layer on AI and BI programs. The report includes data from more than 100 enterprise data leaders about their experience using a semantic layer and features a foreword written by Chief Data and Analytics Officer at PayPal Jon Francis and a conclusion written by Director of Data Literacy at Starbucks Megan C. Brown.
Check out a summary of the findings in this infographic:
For more insights into how a semantic layer helps organizations increase time-to-insights, improve scalability, and reduce costs, download the full research report, The Business Impact of Using a Semantic Layer for AI and BI.
Three Ways a Semantic Layer Helps Scale AI & BI
108 Enterprise Data Leaders: A survey of 108 enterprise data leaders was conducted to understand the business impact of using a Semantic Layer.
The impact of a Semantic Layer falls into three categories: (1) Speed, (2) Scale, and (3) Cost.
SPEED: The Time to Actionable Insights
- 903 Hours vs 484 Hours
903 hours is the time to complete a typical data and analytics project. 484 hours is the time to complete the sam project using a Semantic Layer. This is a 46% reduction in the level of effort.
- 4.2X Data prep time improvement
- 4.5X Decrease in time to generate insights
SCALE: The Throughput of Insights and Analytics Creation
- 4.0X improvement in metrics consistency
- 4.8X Increase in the number of available data sources
- 4.5X Improvement in the number of self-service users
COST: The Resources Required to Transform Data Sources Into Actionable Insights
- 550 Hours –> 300 hours. A 45% reduction in time required for a typical project.
- $90K Savings –> For a 1,000 hour project requiring resources that cost $200 hour
- 18% Data Prep Cost Reduction –> A 350 hour data prep project takes only 287 hours with a Semantic Layer
A Semantic Layer allows enterprises to power speed and scale while controlling costs.
For a data scientist, a Semantic Layer simplifies data preparation and feature creation with no/low code feature design. This enables the governed exploration of model generated insights, thereby accelerating the time to value for common and critical business processes in the enterprise.
Chief Data Scientist, Siemens
Source: Prashanth Southekal, Ph.D., MBA, Managing Principal DBP Institute: “The Business Impact of Using a Semantic Layer for AI & BI.”
The Practical Guide to Using a Semantic Layer for Data & Analytics