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Using Data to Keep You Ahead

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As a business owner, you always look for ways to get ahead and stay ahead. The key to reaching those goals may be something you’ve had at your fingertips for as long as you’ve been in business: your data. 

Every business generates data, especially businesses that have a strong online presence. This data becomes increasingly important every day, and it can often mean the difference between business growth and stagnation. In this day and age, not using your data can mean leaving a lot of money on the table. The question is how to start using your data instead of letting it go to waste. 

That’s where eoStar comes in. At eoStar, we’re known for our route accounting software, but we also offer complex professional services, including eoStar Analytics. This service helps our clients spot and use the data that they may have missed otherwise. 

Why Your Company’s Data Matters 

Again, every business generates data, but some generate more data than others. Distribution businesses generate a lot of data. In fact, these businesses essentially run on the data that they produce. From customer buying habits to seasonal changes, this information keeps distribution running every day. 

When harnessed and used properly, this data can prompt business growth, efficiency, and a healthier bottom line. That said, most companies don’t take advantage of all of the data they have available. That’s not surprising. Data analytics is no easy task, after all. It takes a lot of time that many business owners just don’t have. 

While you may have a lot of data available, success isn’t just a matter of finding that data and reading it. Once you’ve started pulling data from every available source, you’ll need to interpret it, analyze it, and model it so that it becomes usable information. Learning how to interpret data is like learning how to read a map. Until you can interpret the key, the information doesn’t mean much. However, once you figure out what all of the symbols mean, you can use your map to get where you want to go. The question is: How do you get started when you’re already busy running a business? 

How eoStar Helps You Use Your Data for Success 

Fortunately, you don’t need to sacrifice your time or sleep to get started with data analytics. eoStar Analytics can help you use your data to its fullest potential. 

eoStar Analytics is a service that finds and gathers relevant data that you can use for problem-solving. From there, we’ll help you turn that data into models and insights. You can apply context to your data and begin to see patterns that you may not have otherwise noticed. Once you have a clear picture of these patterns, you can make concrete changes and solve problems that may have been causing frustration for years. 

Essentially, eoStar will act as your field guide so that your data will finally start making sense. 

Your Data’s Possibilities 

Once you have the right data at your fingertips, there’s virtually no limit to what you can do with that data. For example, your data may tell you what your most satisfied clients have in common. Perhaps they all have had a similar experience with your website or ordering platform. You can then use this information to raise client satisfaction all across the board, making sure that all of your clients go through the same web process that your most satisfied clients go through. 

You can also use this data for things like keeping the right products on the shelves, preparing for seasonal inventory changes, and maintaining warehouse efficiency. This way, you won’t get caught off-guard by surpluses and shortfalls. 

One of the best parts of data analytics is that you can use it to make predictions. The longer you work with your data, the more you’ll see emerging patterns. You’ll be able to get ahead by using your preparedness and foresight. 

Overall, when you unlock your data’s full potential, you can make more decisions based on measurable patterns instead of limited estimations. As a result, you may have more confidence in your decisions.

Let Us Help You Make the Most of Your Data 

We covered a few possibilities, but those possibilities are just the tip of the iceberg in data analytics. There’s a world of possibilities when it comes to your data, and those possibilities can help your business get ahead and stay ahead. 

What you do with your data is ultimately up to you, but first, you have to gain access to that data and look at it from multiple angles. We’re here to help with that. If you’re ready to learn more about how data analytics can help you, contact the eoStar team today. We’d love to discuss our data analytics process with you and answer all of your questions. 

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What You Can Do with eoStar Analytics

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Does your company take advantage of all of its data? If not, it’s not the only one. Most business owners don’t even realize how valuable their data really is, let alone create a plan to take advantage of it. 

It’s not surprising. Most business owners — especially those in warehousing and distribution — are busy people, and data analytics can take a lot of time and effort. The good news? You can make the most of your data without dealing with a bunch of extra hassle. That’s because we’ve got you covered. At eoStar, we offer data analytics services to help you use your data in a positive way. 

With eoStar Analytics, it’s time to see what your data can do for you. You’ll be surprised at the difference it makes. 

What is eoStar Analytics? 

First, though, what is eoStar Analytics? It’s the process we use to help you gather your business data, translate that data into usable information, and then report that data back to you so that you can make the most of it. 

Many business owners don’t realize that their companies generate data all the time, and that information has a lot of potential. You can learn a lot from customer buying habits, the pace at which products move, the timing and effectiveness of your marketing strategies, and plenty of other information. 

You already have the data. Our job is to help you unlock it with our centralized framework. Once you have the right information and context, you can use that data to make even smarter business decisions. 

Turning Data into Insights 

The process starts, of course, with the data itself. Again, we gather the relevant data and then help you turn that data into insight. With the right data presentation, you may notice correlations that you didn’t see before. Maybe certain products sell better in the mornings than in the afternoons. Maybe your marketing efforts work better with certain age groups than with others. 

You may have noticed a few patterns already, but data analytics can take that recognition up a notch. You might see places where those patterns overlap, or you may notice factors that you haven’t observed in the past. Without data analytics, you’re essentially putting together a puzzle without the corners and edge pieces. You can get a glimpse of the big picture, but you’re missing the thing that will really bring it all together. 

Turning Insights into Action 

Once you have all the right insights, it’s time to do something with them. That’s the next part of the data analytics process, and this is where the real fun starts. Your data can unlock secrets about your work. Suddenly, you realize why you’ve been facing specific issues. 

Now that you have the right data, you can start applying some solutions. Even better, those solutions will be real solutions. When you have data analytics on your side, you take away the need for guesswork. This way, you have a better chance of finding the right solution on your first attempt instead of your third or fifth. 

How Can eoStar Analytics Help You? 

Think about some of the most common issues in your company. What are the things that cause you the most frustration? Some of our clients have cited issues such as: 

  • A sudden decrease in certain product sales without explanation 
  • Finding the most efficient routes 
  • Unpredictable seasonal changes 
  • Slowed fulfillment speeds 
  • Unproductive marketing efforts 

eoStar Analytics will help you look at these issues from all angles so that you can find effective solutions. For example, let’s look at unpredictable seasonal changes. Maybe a product that usually moves off the shelves during the holidays isn’t selling as well this year. Some business owners may assume that there’s an issue with the product, but the truth is that there could be any number of issues. 

Analytics can help you see all of the relevant changes, from the products that people are buying instead to the amount of time they spend on your site before ordering something different. Maybe the issue isn’t with the product at all, but with your website speeds. Whatever the case, when you have the right information, you don’t have to waste time trying solutions that may not work. 

Contact eoStar to Learn More 

Analytics is a big topic, and you may have lots of questions before you get started. If you’re ready to learn more about your analytics options and how eoStar can help you, we’re ready to answer your questions. Get in touch with us now to get started. We’ll chat about your options and help you find solutions. 

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Matt Conflitti, Transforming Data Into Insights

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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. 

Route Accounting Solutions

So, What Exactly is a Data Scientist?

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What is a data scientist?

During our 2020 virtual user conference, one of our sessions went through  eoStar Analytics. During the session our very own data scientist talked about the future of data, analytics, and how to use information to make more informed decisions for your business. But there was one question on a lot of people’s minds, what is a data scientist?

The job is to the fulfill the formula of Problems + Data => Models + Insights. They are able to map expert knowledge and context into real-life solutions. An unofficial definition of a data scientist has become: someone who knows more about math and statistics than a computer scientist and more about computer science than a mathematician or statistician.

“A Data Scientist is a professional who extensively works with Big Data in order to derive valuable business insights from it. Over the course of a day, the Data Scientist (DS) has to assume many roles: a mathematician, an analyst, a computer scientist, and a trend spotter.” – IntelliPaat[1]

Data Science is a rapidly changing field, so anyone that takes on the role of data science needs to be able to keep up with the latest research and techniques. Due to the cloudiness of what exactly a data scientist is and does, there is an increasing overlap between data science and machine learning. Machine learning includes things like computer vision, speech recognition, neural networks, etc. The person that implements the models and insights data scientists come up with is traditionally called a Machine Learning Engineer (MLE), but this can be interchangeable with “Data Scientist” at a lot of organizations.

A typical workflow for a data scientist or machine learning engineer is as follows:

  1. Scoping
    1. Working closely with the product team, the DS will gather the requirements around a particular business problem and determine if a solution is possible given the available data.
  2. Research
    1. This process involves gathering the necessary datasets, cleaning them, and experimentation on the data. This is the phase where the DS really gets to understand the relationships within the data as well as outside of the data. Research also goes into figuring out which approach will be best to solve the problem.
  3. Modeling
    1. Once a few approaches are selected to explore, the DS fits the various models to the data and benchmarks are calculated to determine which system will work best in a real-life scenario. The goal of this phase is to converge on a single approach to deploy.
  4. Deployment
    1. Finally, the model or system is deployed and put into production so that it can be integrated into the existing software ecosystem.

As the beverage industry continues to evolve with new SKU’s, expanded product offerings, and tightening inventory, data and analytics are becoming more essential than before. At eoStar we are fortunate to have a team focused on turning your data into insights and helping you turn those insights into action. To learn more about how our products are using data and analytics to improve your business, talk to one of our sales experts.


[1] https://intellipaat.com/blog/what-is-a-data-scientist/