Route Accounting Solutions

Matt Conflitti, Transforming Data Into Insights

Software companies produce a lot of data. In fact, most American businesses produce data constantly. But what do they do with that data? Well, most don’t do anything at all. That’s too bad, because data can do a lot for the businesses that know how to use it. 

That’s where data science comes in. Data science is all about gathering and using knowledge. Data scientists mine data, gather insights from that data, and then apply those insights to create growth and efficiency. 

To get some more insight into data science, we talked to Matt Conflitti, who works as a data scientist here at eoStar. 

How It Started 

eoStar didn’t always have a data science team. Matt started working for eoStar just over two years ago. 

Like a lot of other data scientists, Matt took a winding road to get into the field. That’s because data science encompasses a lot of knowledge. Matt noted that although data science has gained some more clear-cut definitions recently, it still contains overlapping skill sets. For example, “data science and machine learning engineering are kind of interchangeable today,” Matt explained. 

Matt started with a degree in Computer Science and Math from Grand Valley State University. After various software development jobs, he started working for the accounting firm KPMG. There, several of his projects involved machine learning and data science. He loved those projects and wished he could pursue more of them. 

Fortunately, Matt got a LinkedIn message inviting him to do just that at eoStar. Matt accepted, becoming the first member of eoStar’s data science team. 

Matt’s Work with Data Science 

At eoStar, Matt is laying the groundwork for a full data science platform. He’s working on a few different initiatives, including: 

  • Recommender systems — determining which products work best for our clients’ customers. 
  • Forecasting and demand planning — finding the best models for warehouse forecasting and inventory management. 
  • Clustering — creating rules by examining and applying different data characteristics. 

“I don’t want to be cliche and say I like them all,” said Matt when we asked about his favorite project, “but [because] I’m someone who loves the details of things…all of the projects have been great.” 

The Goal 

Data is valuable, Matt noted, but only if it gets used properly to produce usable insights. Again, not everyone uses their available data. 

At eoStar, we want to do things differently. Thanks to Matt and his team members, we do use our data, and we use it to make our clients’ lives easier. Matt’s work helps businesses transform their workflows in a positive way. This way, our clients can gain efficiency and higher customer satisfaction rates. 

Learn More about eoStar’s Work with Data 

Thanks to eoStar’s data science efforts, we can offer services that our competition cannot. Get in touch with us now to learn more about those services. We’d love to answer your questions about how our work can help you keep your business in its best shape. 

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