April 12, 2022
Aligning AI & BI Teams to Empower Decision-Making: Actionable Insights Series Part IIICurated advice from 50+ data leaders, industry experts & customers Over the last 12 months, we've hosted 18 webinars with 50+ industry experts, data leaders, and customers reaching an audience of 25k+ data and analytics community members/professionals. I've decided to…
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…
April 5, 2022
Optimizing Cloud Analytics: Actionable Insights Series Part IICurated advice from 50+ data leaders, industry experts & customers Over the last 12 months, we've hosted 18 webinars with 50+ industry experts, data leaders, and customers reaching an audience of 25k+ data and analytics community members/professionals. I've decided to…
March 31, 2022
Scaling Self-Service Analytics: Actionable Insights Series Part ICurated advice from 50+ data leaders, industry experts & customers Over the last 12 months, we've hosted 18 webinars with 50+ industry experts, data leaders, and customers reaching an audience of 25K+ data and analytics community members/professionals. I've decided…
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 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…
