June 29, 2023
Preventing Semantic Sprawl in the Modern Data Analytics StackData is invaluable to an organization’s decision-making, business innovation, and cross-team collaboration. With the rise of big data and cloud data warehouses, fully-realized democratization is the next step in many businesses’ data journeys. They want to enable company-wide, self-service analytics,…
June 15, 2023
A Federated Data Model Governance Approach: Insights from Data LeadersI hosted another round of interviews with data leaders about how they deliver AI and BI for their organizations. We discussed the combining of data fabric and data mesh, the hub-and-spoke approach, and the future of a federated model for…
June 8, 2023
Data Storytelling and Trusted AIBuilding Trustworthy Narratives Data storytelling with trusted AI facilitates an engaging but trustworthy narrative. It makes sense of complex data sets by communicating insights in an easy-to-understand way. However, with the increasing use of AI in data analysis, there are…
June 1, 2023
Choosing the Right Semantic Layer Strategy for Your Organization’s Data StackThe average data platform holds raw data assets from several different locations — BI apps, data warehouses, reports, etc. This becomes a challenge when teams need an effective way to unite and leverage this entire ecosystem for intelligent decisions and…
May 10, 2023
Unlock Data-Driven Storytelling with Augmented AnalyticsThe AtScale semantic layer is a powerful tool to help enhance data storytelling projects to make them more effective. AtScale provides a simple, intuitive interface that allows users to access common data models. These models accurately and consistently represent business…
May 5, 2023
How Data Scientists Should Leverage BI InfrastructureThis blog is part of a series from Tobias Zwingmann, Managing Partner at RAPYD.AI. RAPYD.AI lets you easily and quickly build fully-functional AI prototypes or AI MVPs powered by state of the art AI-services from Google, Amazon and Microsoft. Tobias…
April 27, 2023
How Metrics Engineering Support Business Intelligence and Data Science ProgramsAtScale recently announced Python-based Metrics Engineering as a new capability supported within AI-Link. AI-Link is an extension of the AtScale semantic layer platform that leverages a robust python-based API for connecting data science notebooks and AI/ML platforms to AtScale. AI-Link…
April 26, 2023
High Code v. Low Code v. No Code Data ModelingWhen my co-founders and I launched AtScale almost ten years ago, we set out to democratize analytics consumption for everyone, not just database experts. We were dismayed to see the new generation of visualization tools forcing their users to become…
April 25, 2023
3 Surprising Ways NLP Changes How We Interact With DataThis blog is part of a series from Tobias Zwingmann, Managing Partner at RAPYD.AI. RAPYD.AI lets you easily and quickly build fully-functional AI prototypes or AI MVPs powered by state of the art AI-services from Google, Amazon and Microsoft. Tobias…
April 13, 2023
Actionable Data Insights for Improved Business ResultsThis blog was written by Dr. Prashanth Southekal, the Managing Principal of DBP Institute (www.dbp institute.com), a data and analytics consulting, research, and education firm. He is a Consultant, Author, and Professor. Author’s Note: This is an update to the…
