Koru Medical Systems develops and manufactures home and specialty infusion systems. With over 40 years of experience and $25 million in annual revenue, Koru’s small team takes pride in bringing to market safe and affordable healthcare products that change lives for the better.
Koru’s systems generate a great deal of data, which has for years been housed in a single tracings spreadsheet. As the lines of entries swelled to over 350,000, the spreadsheet became increasingly unwieldy.
An officer of the company, having previously engaged Stratus to solve a similar issue at a different organization, brought the team in at Koru to analyze the situation and find a way to break free from the file.
The Challenge: Inconsistent Data in a Mammoth File
This massive spreadsheet was notorious with both the sales and finance teams at Koru. “It was getting cumbersome to the point that it was a joke within the company. You’d see the circle dialing and dialing because it just couldn’t handle the amount of data that we needed to get out of it,” says Rob Cannon, Vice President of Sales.
There were several problems beyond the sheer size of the file:
- Manual updating. Data ingestion required a financial analyst to pull reports and manually clean and prepare them before adding the data to the spreadsheet, a time-consuming and laborious process that left room for error.
- Forecasting woes. Because of the difficulty of manipulating the file, sales forecasting took weeks of labor on the part of the finance team and hours of interviews of sales leadership to complete. Even after the process was complete, a lot of questions remained unanswered because of the limitations of the analysis possible in the spreadsheet environment.
- Sales team hindered, finance team stretched. Sales people were not able to pull the regular reports they needed without the help of the finance team, and often received reports with little time to review the data before presenting it due to the intense and time-consuming effort required to extract insights from the file. Sales was also unable to answer client questions about accounts in real time because of the clunky manipulations required to pull actionable information from the spreadsheet and the lag time experienced while working with the spreadsheet.
- Lack of fine-grained visibility. Many of Koru’s major clients consist of a number of sub-accounts. The data available in the spreadsheet made it impossible to drill down into these “child accounts,” obscuring issues at that level. It was also challenging to jointly analyze sales by product subcategories.
- Data quality issues. At times, the finance team found inconsistencies in the spreadsheet data, calling into question the reliability of analyses based on spreadsheet manipulations.
Both the finance team and the sales team knew what they wanted to know, but figuring it out was a struggle with little payoff. “I’ve been crying for this kind of data for ten years,” says Alicia Smith, a senior account executive who has been with Koru since 2011.