If you’ve been following the AtScale blog throughout the years, we hope that we have provided you with content that has furthered your understanding of the big data analytics landscape and who we are as…
The data and analytics space continues to evolve at an incredibly rapid pace as enterprises use data from across the organization to report on and predict the future. As enterprises recognize new ways to drive…
Recently, two Big Data industry veterans, Dave Mariani, Co-founder and Chief Strategy Officer of AtScale and Chris Oshiro, Field CTO of AtScale and I got together for a new episode of our podcast, CHATSCALE. Mariani…
In our most recent webinar , four data-driven leaders from Cardinal Health, Slickdeals, bol.com and Wayfair joined us for a panel where they discussed how they are scaling smarter decision-making across their organizations and making…
Data-driven: a phrase that sounds so simple, but in practice so complicated. For years, organizations have accumulated data in various formats, from many sources. Data engineers were expected to process and analyze this data for…
Introduction to Data Fabric We have written about the concept of the “Data Fabric” in the past. While not new, it is an increasingly cited topic to help organize the many technologies and strategies employed…
I 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…
During another round of interviews with data leaders, I spoke with several industry experts about creating and fostering a data-driven culture. We discussed different data architectures, the gap between data produced and data consumed, data…
This 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…
Many companies pursuing a path to data-driven decision-making – accelerated through data democratization – struggle with how to define and support the core people, roles, and competencies involved with data (data creators, enablers, and consumers). …