Skip to content
Jeremy TerBush
Jeremy TerBush

Jeremy TerBush

Management Consultant
TerBush Analytics
Bio

Jeremy is a Senior Data & Analytics Leader with a proven track record of driving business growth and value through the strategic implementation of data-driven solutions. With a global perspective and extensive cross-functional experience, Jeremy excels at identifying analytical strategies that unlock new opportunities, optimize performance, and maximize revenue. Throughout his career, Jeremy has led the strategic development of data initiatives and implementation within three publicly traded organizations. He has a proven track record of identifying value-adding opportunities, partnering with business stakeholders to align on strategy, and leading data teams to deliver great products that have achieved meaningful cost-savings and incremental revenue. Jeremy has served in the capacity of Chief Data Officer in multiple organizations and has spent most of his career in the travel and hospitality industry. He enjoys taking a hands-on approach to leadership, staying in touch with the fast-moving data and analytics space. As a respected industry thought leader, Jeremy has shared his expertise at numerous conferences and events. He holds an MBA from Indiana University and a master’s degree in applied mathematics from Purdue University. Passionate and results-driven, Jeremy is dedicated to helping organizations harness the power of data and analytics to achieve extraordinary growth and transform the way they do business.


An Easy Button for Developing Analytical Applications

The process of building analytical applications often requires coordination of many disparate toolsets that are focused on a specific aspect of the solution. Each technology is typically owned and managed by a specific team, and getting their attention on your solution requires prioritization and focus of human resources. Managing the technical and human coordination to deliver a successful analytical product is complex. In May 2023, Microsoft introduced launched Fabric as a new product offering that bundled its existing data toolset under one easy to implement and license offering. Within Fabric, every element of the data product development lifecycle is supported with robust tools. Data Factory can be used for data ingestion from various source systems, OneLake provides a common storage component for all company data, Synapse notebooks provide any level of data transformation and provide access to all open-source ML/AI models, and PowerBI directly connects to any data within the platform providing an easy option to build and deliver products to end users. When architecting your solution, you can leverage Fabric components that expedite development or focus primarily on open-source capabilities limiting your vendor lock-in to MS. A 60-day free trial of the platform is available as well, which is a great option to demonstrate proof-of-concept capabilities. In a recent project, we used an open-source package to generate synthetic data within Fabric and developed POC BI content with PowerBI to demonstrate the platform’s capabilities and gain buy-in to move forward with it for the strategic data platform. In addition to streamlining the product development process, the platform scales to handle very large use-cases and provides access to Microsoft’s investments in AI with Copilot integration in all components and direct connection to OpenAI ChatGPT models. If you are getting started on your data journey, or looking to revamp your data toolset, Fabric provides a fantastic environment to quickly get started and deliver value quickly within a holistic ecosystem of mature tools.