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 24, 2022
Data Leader Interviews: Lessons Learned from Cigna, Visa, Amazon & HCLI recently connected with a few of the top data leaders to discuss the role of business analytics and machine learning at their organizations. We chatted about the nuances of global data programs, promoting data literacy at large enterprises, measuring…
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 15, 2022
Accelerate Your Path to Self-Service Data AccessMany companies struggle with making data available quickly and structured in a way to enable the generation of actionable insights, particularly using a self-service delivery model. As the amount of data available via modern data platforms and sources continues to…
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 8, 2022
Developing Smarter, Faster Insights from Business IntelligenceMany companies struggle with making data available rapidly, while structuring and integrating this data effectively to enable the creation of actionable business intelligence insights and analytics. With an ever-increasing amount of data available via modern data platforms, companies need to…
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…
