March 15, 2022
Data Leader Interviews: Lessons from Leaders at Bank of America, Hanover Insurance Group, Rockwell Automation and SAPIn another round of data leader interviews, I spoke with a few more data analytics experts about enterprise data strategies. We discussed which stakeholders should be involved in defining a data strategy, how organizations can be more agile and how…
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 25, 2022
How Top Data Leaders Align AI & BI to Business OutcomesMany organizations still view machine learning and big data analytics through a technical prism. Business leaders know that the fundamental value proposition of these methodologies is in achieving better business outcomes. I had the pleasure to discuss this topic with…
