Turn the pieces into a picture with a data integration plan

December 31, 2021

At an organization’s facility or project site, every human decision, mechanical function, or environmental condition represents a potential piece of data—valuable data that can help drive informed business strategies. Too often, that data fails to be captured or is fed to disparate information systems, resulting in a digital infrastructure that limits the ability to tell a complete story.

Barr’s data and analytics group works with our clients and their data to help create a complete picture of a facility, organization, or project site. Barr has expertise in data-related disciplines including data science, 3D visualization, big data, instrumentation and monitoring, and application development.

Our project work has shown us that the need for centralized data collection transcends industries and project types—from mines to watersheds to energy supply to power transmission.

For clients interested in seeing a comprehensive view of their operations through an integrated set of data, we start by asking questions. What are your operational goals? What are the challenges? What are the limitations of your current technology? The answers help us define a path forward—starting small, growing along the way, and staying agile throughout. In doing so, we can help clients’ data tell a more complete story about their engineering or environmental projects—and bring more shape and clarity to the next chapters.

To learn more about Barr’s data and analytics services, contact us.

About the author

Brian Fitch, business systems support manager, leads Barr’s Data and Analytics Center of Excellence. This group provides digital transformation, Industrial Internet of Things (IIoT), GIS, 3D visualization, data science, and data management services to our clients. Brian has worked in the information technology space for 20 years with a focus on analytics and information design. He has a PhD in Human Factors from the University of Minnesota concentrating on how automation and information design influence users’ understanding of complex systems.