Evolution Analytics
Data Analytics to Level the Playing Field

To be competitive in a marathon, runners prioritize planning and implementing training programs to acclimate their bodies to the strenuous activity. Building the mindset and discipline is paramount to considering buying expensive gear to achieve their goal. Similarly, businesses cannot create a data-driven culture just by purchasing and adopting the latest AI and Analytic tools available in the market. Before using these tools to aid them in automation, businesses need to understand the complex business problems that need to be solved with AI/ML and Analytics.

Evolution Analytics (EA) helps its customers leverage data and analytics to simplify complex issues while automating the decision-making processes. They identify the financial, business, and technical drivers for data management and analytics, such as pay-as-you-go cloud-based solutions, to eliminate barriers to entry for mid-market businesses. This significantly lowers the total cost of ownership, helping them compete with large-scale enterprises.

“Whether monetizing data, enabling self-service, or building AI/ML/Analytics capabilities, mid-market companies face more obstacles than industry leaders. We use our years of experience to ensure that these businesses invest in what solves their problems in an efficient and effective manner,” says Vince Belanger, Principal of Evolution Analytics. Vince goes on to say, “Data-driven decisions are the key to understanding how to improve the business. It doesn’t matter if it’s sales, marketing, supply chain, operations, or customer service; data should be at the heart of every business decision. We collaborate with clients in identifying key KPI’s or decisions, surround them with data, apply advanced analytics, and automates those insights or decisions.”

EA supports its customers with three service offerings: Advise: to help with analytic assessment and roadmaps; Build: to implement cloud analytic solutions; and Enable: to support the solution and provide the resources to drive adoption and value.

Whether it is developing a roadmap, providing program oversight, or filling in for an interim data leadership role, the firm’s experienced team advises clients on best practices.

EA helps clients create a data driven culture by formulating a definitive strategy to address business issues and avoid common pitfalls. They leverage an agile approach that aligns data and technology with the appropriate people, processes, and governance to accelerate time-to value and build a solid foundation for future capabilities.

Whether monetizing data, enabling self-service, or building AI/ML/Analytics capabilities, mid-market companies face more obstacles than industry leaders

An example of their experience and approach can be seen through the build-out of a supply chain Control Tower project. Often, mid-market supply chain functions lack an agility of managing complex delivery and optimization because it is buried under massive data silos. The client had trouble keeping up with the exponential growth of their business due to disparate control systems increased through acquisitions. Unable to make individual decisions on hundreds of products across countless routes and truck routines, they approached EA. The company worked with the client to collect, prepare, clean, curate, and visualize the data on a control tower system dashboard with its advanced data science solutions. Today, the supply chain company experiences seamless operations due to decision making automation and has fine-tuned its forecasting system for future planning.

“We collaborate with clients in identifying key KPI’s or decisions, surround them with data, apply advanced analytics, and automates those insights or decisions”

EA understands that the discipline of data, like a rigorous marathon training plan, is crucial for organizations to build and sustain. EA works with customers across every industry and business domain, including supply chain, logistics, manufacturing, pharmaceutical, healthcare, education, nonprofit, and financial services. EA aims to level the playing field and help mid-market companies compete with data. With its advanced data analytics expertise and lessons learned by market recognized data leaders, EA has brought together the best in the business to offer practical, proven solutions that drive significant business value.