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 22, 2022
Replace Your SSAS Capability in the Cloud with Modernized AnalyticsAs customers shift their data infrastructure to cloud data platforms such as Google BigQuery, Snowflake, or Databricks, AtScale is the only provider of a semantic layer and dimensional analysis capability that accelerates performance with no need to extract data from…
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 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 10, 2022
AtScale + Tableau: What do Toyota, Wayfair and Tyson Have in Common?When I talk to customers, they always find value in stories about how our other customers are progressing on their data and analytics initiatives and their journeys toward realizing self-service BI. This post will do a deep dive into a…
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…
