Across several industries, there is disparate data running throughout organizations in multiple silos that need integration. In this episode, we pick the brains of Mike Blakeman, the CEO of Visual Globe, Matt Hand, the Vice President in charge of Business Development for Visual Globe, and Catherine Wicklund, a CEO and the Chair of Vistage for Southern Colorado. They talk about how companies can leverage and reduce operational cost with physical asset management by fusing unstructured information that churns out actual intelligence. They also discuss how this integration aids executives to make critical decisions. — Watch the episode: Listen to the podcast: Data Integration with Mike Blakeman, Matt Hand and Catherine Wicklund We’re extremely fortunate. We have a panel going on. We have Catherine Wicklund. She is a current CEO and the Chair of Vistage for Southern Colorado. We have Mike Blakeman. He’s the CEO of Visual Globe. We have Matt Hand. He’s in-charge of business development for Visual Globe. Thank you so much for being on the show. Tell us a little bit about Visual Globe, what it does and who it serves. Visual Globe is a software platform being developed for the physical asset management marketplace. We have a data fusion engine that connects disparate data from all data sources within a company. We understand the need to integrate data and connect to a physical asset resulting in predictive analytics and having the most current data available. I’m the business owner and going like, “Let me dig in.” Let’s say I am an oil company CEO. How do your software and application help me as a CEO of an oil company? We’ve conductive extensive research in the of the marketplace, especially in the energy industry. We have found the disparate data problems exist.  We know that there’s data throughout the organization in multiple silos, whether it’s in facilities, GIS, CAD, financials, ERP, MRO or whatever it may be. These are business processes that they’re using. Regardless of what type, there are processes being used. Once this data is brought together, which we have the engine to do that, it’s a data fusion engine that brings all this information together. Whether it’s unstructured, which means a PDF, Excel spreadsheet or it could mean IoT sensors in the field coming together into our data fusion. Structured data on the other side is the more SAP, Oracle-type of databases and tables that exist within the organization that’s relative to relative to these physical assets. In thinking about the solutions in search of a problem, for you, what got you going down this path and deciding to start creating this company to solve these problems? Over the last few years, I’ve experienced a lot of needs and problems in digital information. All this information is being transformed over time and because of time and technology needs, there was a need to go into the direction of bringing data together. Bringing the data together is going to solve a lot of problems based on the needs of our customers. It could be anything from maintenance and inspection to government compliance. There’s a whole host of challenges that the companies are facing, but bringing the data together for the very first time allows us to create  predictive analytics, decision-making, allows them to make better decisions than they’ve ever made before immediately. The visualization that they see with the dashboarding and the KPIs that we can do with the data through the data fusion model allows senior-level employees or even managers ...