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Developing an Enterprise Data Strategy
Many companies face challenges in developing a roadmap for data, insights, and analytics. This blog stresses how an enterprise data strategy is a critical guidepost for articulating an effective set of use cases and a…
How to Use a Semantic Layer Platform to Make Smarter Data-Driven Decisions at Scale
AtScale’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…
Data & Analytics News Roundup- April 23rd
Welcome back to our weekly Data & Analytics News Roundup series for April 23rd! What stories have been on your radar? In this edition, we share our top picks. Before we get into this week’s…
The Data & Analytics Maturity Model: What is It and Where Does Your Team Stand?
We’re living in an age where data drives organizational success. In the past, most organizations could get by with a central IT team doling out reports and dashboards to business users. That just doesn’t cut…
Using Your Data to Identify Your MVCs (Most Valuable Customers)
In our most recent webinar, Jen Stirrup CEO of Data Relish and Dave Mariani, Co-Founder and Chief Strategy Officer of AtScale shared how identifying your most valuable customers (MVCs) can deliver experiences that drive more…
The Cost of Bad Data
According to Gartner , decision-making based on inconsistent data is responsible for an average of $15 million per year in losses to the enterprise. Why? Enterprises today are using a variety of tools for KPI…
Leveraging Data Analytics to Move Towards the “New Normal”
The first time that we were aware of COVID-19 was in December of 2019. Little was known about the virus and there wasn’t a lot of data to support any claims. Fast forward to the…