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 15, 2022
Accelerate Your Path to Self-Service Data AccessMany companies struggle with making data available quickly and structured in a way to enable the generation of actionable insights, particularly using a self-service delivery model. As the amount of data available via modern data platforms and sources continues to…
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…
April 23, 2021
Data & Analytics News Roundup- April 23rdWelcome 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 stories the AtScale team is…
April 21, 2021
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 it anymore. The self-serve analytics…
November 23, 2020
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 revenue. Who is your most…
July 1, 2020
The Cost of Bad DataAccording 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 reporting that rely on varying subsets…
June 18, 2020
Data News Roundup – Thursday, June 18th, 2020Decision making based on inconsistent data is responsible for an average of $15 million per year in losses to the enterprise, according to Gartner. The main contributing factor is that enterprises use a variety of tools for KPI reporting that rely…
June 16, 2020
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 present day, we have the…
March 18, 2020
3 Surprises in the 2020 Big Data & Analytics Maturity SurveyA new, independent survey by AtScale, Cloudera and ODPi, a Linux Foundation project, delivered some surprising results. In particular, there were 3 takeaways that are noteworthy which every enterprise should keep in mind when working through their future data strategy.…
