Data Analytics


What We Do

We specialize in providing powerful and insightful EDI descriptive and diagnostic analytics services. Even if you are not a client of our Managed EDI Services, we can take a history of EDI documents and extract the data needed for analysis. Our team of experts is dedicated to helping businesses make the most of their EDI data, by providing actionable insights that can be used to optimize operations, reduce costs, and increase profitability.

EDI Analytical Services

Our EDI analytics services are designed to help businesses identify patterns and trends in their EDI data, as well as to uncover any underlying issues or inefficiencies that may be impacting their operations. We use a variety of advanced analytical techniques to extract insights from even the most complex EDI data sets.

Finding Patterns, Trends, and Anomalies

Our EDI descriptive analytics services provide businesses with a detailed understanding of their EDI data, including information on:



Volume, Frequency, and Nature


Frequency, Size, and Patterns


Stock Levels, Turnover Rates, and Product Demand


Behavior, Preferences, and Purchasing Patterns

Error and Anomalies

Analyze and Uncover Patterns

AND Other Key Metrics

Custom Industry Specifics and Objectives

Our EDI diagnostic analytics services go deeper, helping businesses uncover the root causes of any issues or inefficiencies in their EDI processes.

For example, certain suppliers consistently fail to meet delivery deadlines, resulting in delays. Additionally, the analysis might uncover internal inefficiencies, such as delays in processing orders or insufficient inventory management practices.

By analyzing patterns and trends in the data, we can identify areas that may be causing delays, errors, or other problems and help businesses address those issues to improve their operations.

Greg Novak

Sr. Software Development Engineer & Architect, Promethean Software Services

In our analytics monitoring service, anomaly detection plays a crucial role in identifying irregularities and deviations in data. A significant advantage, for example, is monitoring the number of orders received, and anomalies outside the normal patterns can indicate potential issues.

By analyzing the amount of data that is processed within a particular period, our anomaly detection system enables us to identify abnormalities and promptly address inefficiencies or irregularities that may lead to unnecessary problems for the client. This approach is preferable to using a general threshold, as it accounts for variations in file volume during different times of the day and week.

Implementing descriptive and diagnostic analytics and anomaly detection equips companies with valuable insights and a competitive edge. Descriptive analytics uncovers patterns and trends, diagnostic analytics identifies root causes, and anomaly detection detects irregularities. By leveraging these approaches, companies optimize operations, enhance decision-making, and improve customer satisfaction. This powerful combination fosters continuous improvement, risk mitigation, and success in the ever-evolving business landscape of today.


Quotable Voices

The goal is to turn data into information and information into insight.

Carly Fiorina

Ex-CEO, Hewlett-Packard

Cultivate curiosity, and let that curiosity be data-driven.

David Bowles

Data Analyst and Physics Doctoral Candidate, University of Kentucky

We're Here to Help!

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1000 Campus Drive
Stow, Ohio  44224

Call Us

(833) 811-0580