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…
February 10, 2022
How to Turn Unstructured Medical Records Into Actionable InsightsPatient documentation has come a long way since the days of doctors writing patient notes with pen and paper. Today, Electronic Medical Record (EMR) systems can capture, exchange, and store medical records automatically. These advances have been significant for providers…
February 3, 2022
How to Use a Semantic Layer Platform to Make Smarter Data-Driven Decisions at ScaleAtScale’s semantic layer platform makes data more accessible and business-friendly, and bridges the gap between business intelligence (BI) and data science teams. A semantic layer presents a consistent set of business metrics for teams across your organization to enable everyone…
February 1, 2022
A Business-Oriented Semantic Layer for Your Databricks LakehouseA semantic layer strategy lays the foundation for a scalable business intelligence and enterprise AI program and complements the power of modern cloud data platforms. Key benefits include: Business metrics stay consistent across the organization. Analysts can access a broader…
January 21, 2022
How A Semantic Layer simplifies Your Data Architecture*This post was originally published by the author, Anurag Singh. You can view the original post here. Making data accessible to everyone within an organization is a challenge that most companies face. For example, data scientists generate forecasts and predictions…
