Is Data Integration Economical for your Business?

Whenever you make a purchase for your business, you need to figure out whether the ROI is high enough for that purchase to make sense. Some businesses ask why our product costs so much while others don't blink an eye. That kind of behavior is perfectly understandable if you think about the following scenarios:

Company A sells a product that costs $10k in which they average 10 sales a month. Company B sells a product that costs $2k in which they make 50 sales a month. Finally, Company C sells a product that costs $1k at 100 sales a month.

Let's pretend the person entering the sales data into Quickbooks makes $15 an hour and it takes 5 minutes per transaction to enter said data.

A | 10/month = 10 hours a year of data entry = $150 a year

B | 50/month = 50 hours a year of data entry = $750 a year

C | 100/month = 100 hours of data entry = $1500 a year

Each of the three companies pulls in $1.2 million in revenue a year, but as you can see the cost of data entry is very different. When you factor in the cost due to errors in manual data entry, the cost is even higher. At $900 a year, DataSynch doesn't make sense for Company A. Company B is on the fence and would have to factor in the cost of errors to make their decision, but Company C would save a good $600 a year by investing in DataSynch.

If you're shopping for our product or someone else's, run your numbers and figure out whether it makes financial sense to invest in an integration solution.