April 19, 2022
Combining Data Integration Styles for Improved Data AccessibilityThere are six key areas for effectively consuming data for business insights: data, access, model, analyze, consume, and insights. For organizations looking to advance in each of these areas, AtScale’s Data and Analytics Maturity Model Workshop explains how teams can…
April 7, 2022
Supporting Intelligent Automation Initiatives with a Semantic Layer to Transform Enterprise Data OpsAs intelligent automation technologies become more prevalent and sophisticated, the need for a semantic layer to provide the data necessary for enterprise operations is becoming increasingly important. This includes improving process and task automation development, data refinement and optimization, interpreting…
March 29, 2022
Developing a Data Sharing Culture with a Semantic LayerWhen it comes to effectively consuming data for business insights, there are six key areas: data, access, model, analyze, consume, and insights. AtScale’s Data and Analytics Maturity Model Workshop explains how organizations can build the skills and knowledge to advance…
March 24, 2022
Data Enrichment: Integrating First-Party and Third-Party DataWhen it comes to effectively consuming data for business insights, there are six key areas: data, access, model, analyze, consume, and insights. AtScale’s Data and Analytics Maturity Model Workshop explains how organizations can build the skills and knowledge necessary to…
March 17, 2022
Improving Data Quality with a Semantic LayerThe data economy is being embraced worldwide across industries because companies that are data driven show improved business performance. In fact, data has given companies such as Netflix, Facebook, Google and Uber a distinct competitive advantage. Although nearly every company…
March 8, 2022
The Centralized Data Repository: Breaking Down Data SilosWhen it comes to effective consumption of data for business insights, there are six key capabilities: data, access, model, analyze, consume, and insights. AtScale’s Data and Analytics Maturity Model Workshop explains how organizations can build the skills and knowledge necessary…
March 3, 2022
AtScale + Tableau | Accelerating Self-Service BI with a Semantic LayerWe've been publishing a lot of new case studies based on our experience helping customers get value from AtScale's semantic layer. With that in mind, we’d like to delve into our partnership with Tableau. The well-known data visualization tool is…
March 1, 2022
How to Liberate Your Data [Scientists] with a Semantic LayerEvery business decision, keystroke, or mouse click is a potentially valuable data point. Most companies don't have any trouble generating and storing their data these days, and there are mature technologies that help companies break down silos to get all…
February 22, 2022
Developing an Effective Enterprise Data Strategy in the Age of Cloud Data PlatformsMany companies have difficulties developing a roadmap for data, insights, and analytics. This blog stresses the importance of having an enterprise data strategy as the guidepost for articulating an effective set of use cases and a clear roadmap that scales…
February 17, 2022
Using AtScale’s Semantic Layer with Data Science Use CasesAtScale’s semantic layer allows users to have one single place to define business constructs like KPIs (i.e. time series calculations) and first-class dimensionality/hierarchies (i.e. time, geography, product, customer, etc.). Whether you are on the business intelligence (BI) or data science…
