Agile Data Warehouse Design through Rapid Prototyping While most people know WhereScape for its automated code generator that eradicates repetitive hand-coding tasks, there is another major way in which the software can save huge amounts of time and resources....
Data Warehouse Automation
Revolutionizing Higher Education with Data Automation: Insights and Webinar Recap
In today's fast-paced educational landscape, data automation is making waves. Our webinar,”Revolutionizing Higher Education: Data Automation for Enhanced Efficiency and Innovation” hosted in partnership with EDUCAUSE, recently brought together some brilliant minds to...
Revolutionize Your Data Strategy: The Benefits of Data Warehouse Automation
Have you explored the transformative potential of Data Warehouse Automation in your organization for data visualization, improved data quality, and fostering data-driven decisions? Having been in the technical arena for a long time (I’ve actually used punch cards),...
Data Vault 2.0 Resources
Data Vault Revisited: A Six-Year Journey into the Secure Data Repository In 2017, Dr. Barry Devlin provided valuable insights about Data Vaults, a concept that sparked interest among businesses and IT professionals. Data Vaults were envisioned as secure repositories...
Information Management Maturity
Unlocking Your Business Potential: Understanding and Enhancing Information Management Maturity In a recent report by Gartner, they emphasize the crucial role of information in the current business environment, stating, "Through 2025, organizations that are data-driven...
Why Automation is No Longer a Choice for Your Data Architecture
The world of data has changed for sure. Especially over the past several years. In fact, the pandemic accelerated some changes, like the migration to cloud-based data platforms. When everyone needed to be remote, it just made sense to move to the cloud and use a...
Data Warehouse Architecture
A data warehouse architecture defines the overall architecture of data communication. From processing the data to presenting it for end-clients computing, each data warehouse is characterized by some vital components within the enterprise. Data warehouse applications...
Why the Ability to Scale is Transformative for Data Teams
In my previous blog, we talked about quick wins. One of the criteria of a good quick win is that it can be built on or repeated at a later date. That later date has now arrived. We have to be careful not to take on a myriad of projects that are unrelated to each...
Why Quick Wins are the Bedrock of Data Delivery
Quick win: An immediate improvement that delivers obvious value to the business. Because of the short deadline (two to three months), quick wins tend to be easy to implement but limited in scope. The best quick wins can be built on or repeated at a later date. In 2009...