Brett Starr

Background

About Brett Starr

We build Systems of Insight. Automated insights is our motto. Valuable intuition on how to measure success comes from the front line worker. Their proximity to the task at hand creates tribal knowledge unique to their team. Blending data analytics and machine learning with front line and hands on expertise leads to best answers, the best next action. Generative AI is the next frontier we are beginning to master in order to support our mission of evolving and enhancing our capabilities, associate engagement, and customer satisfaction. Our team empowers the analyst and frontline teams with self-service business intelligence and analytic solutions. We encourage those who know best to answer their own questions. Then by tapping into the wisdom of crowds, we mine their methods for best practices that are added to our production pipeline. Through an art and science dance of empowerment of capabilities and improvement of our analysts' ideas, we create a self-sustaining analytic roadmap. We remove the need for data gymnastics by our analysts, to allow the time and focus for the analytic community to develop the next measure to define and develop. This iterative process keeps both analyst and our data engineers sharp, avoids either team falling into the monotony of copy + paste + repeat. Our team leverages the latest in solutions and techniques. Though we support our legacy pipelines in traditional ETL and COBOL, we are steadily moving our workloads to Cloud-based, SPARK, and NoSQL based solutions. We create Machine Learning models to assist decision making and drive to the optimal outcome. We further enhance corporate efficiency through Chatbots and Robotic Process Automation. Our expansive portfolio of technologies and languages allows us to craft best of breed solutions towards analyst empowerment and automated insights. Our team focuses on the disciplines of: • Data Engineering, Big Data Analytics, Cloud Data Warehouses and Cloud-based Analytic Sandbox • Intelligent Automation, Artificial Intelligence, Machine Learning Engineering, Robotic Process Automation, Chatbots • Data Architecture, Data Modeling, NoSQL Data Modeling • Data Management, ETL and ELT, Spark Pipelines • Information Delivery, Visualization, Storytelling with Data • Data Governance, Data Lineage, Machine Learning Data Catalog, Data Stewardship • Data Prospecting, Rapid Prototyping, Design Based Data Delivery We work to seed the inspiration of analysts and harden our analytic pipeline. Automated Insights, through a System of Insight.