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How to Calculate the Cost of Double Data Entry
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How to Calculate the Cost of Double Data Entry

Double data entry means typing the same data into your CRM and ERP separately. Its cost comes from record count, time, errors and hourly cost. Example inside.

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Short answer

Double data entry means typing the same information into two separate systems by hand. You calculate its cost as repeated records × minutes per record × hourly cost, plus the time spent fixing errors. In our worked example, a six-person team entering 20 orders a day into both the CRM and the ERP loses more than 50 hours a month.

What is double data entry?

Double data entry means re-typing the same customer, quote or order information into two or more systems by hand. A sales rep creates the account in the CRM, operations creates the same account again in the ERP, and finance checks the address once more before invoicing.

Each step takes a few minutes, so nobody notices. The cost only shows up when those minutes are added up at the end of the month.

Where does double data entry happen most?

Mostly at the handoff from sales to operations: the moment a quote is approved, information has to move from one system to another by hand. Typical spots:

  • Customer record: legal name, tax ID, address and contact person are created in the CRM, then again in the ERP.
  • Quote and order: the quote lives in the CRM or a spreadsheet, and once approved it is re-entered in the ERP as an order.
  • Call notes: reps keep notes in WhatsApp or a notebook and copy them into the CRM later, often only partly.
  • Reporting: every week a manager exports data from the CRM and the ERP and stitches it together in Excel.

This list is the easiest part of your sales team coordination cost to measure.

How do you calculate the cost of double data entry?

You need four numbers: repeated records, minutes per record, time spent fixing errors and hourly cost. The formula:

Monthly cost = (records × re-entry time + errors × fix time) × hourly cost

  1. Count the records. How many customers, quotes and orders go into more than one system each month? The record counts in your CRM and ERP will tell you.
  2. Time it. For one week, put a stopwatch on 10 re-entries. Measure instead of guessing.
  3. Count the errors. For one month, log every record that bounced back because of a wrong address, a wrong price or a missing tax ID.
  4. Find the hourly cost. Divide gross salary plus employer costs by monthly working hours.

Worked example: how many hours does a six-person team lose?

The numbers below are example assumptions. Replace them with your own measurements.

  • 20 orders a day are entered in the CRM and then re-typed into the ERP: 4 minutes each.
  • The same orders also go into a tracking spreadsheet: 2 minutes each.
  • Daily re-entry: 20 × 6 minutes = 120 minutes. Over 22 working days, that is 44 hours.
  • 22 of the 440 monthly records (5 percent) come back with errors, and each takes 20 minutes to fix: about 7 hours.

That is roughly 51 hours a month. At a fully loaded cost of $25 an hour, it comes to about $1,275 a month, or around $15,300 a year. It is more than a quarter of one person's working month, and it closes zero deals.

What is the hidden cost?

The hidden cost is two systems that no longer agree. If a customer's address in the CRM differs from the one in the ERP, you no longer know which one to trust.

Three things follow. Shipments or invoices go to the wrong place. Reports from the two systems show different numbers, and meetings turn into debates about which number is right. And reps start leaving the CRM half-empty because "operations will enter it anyway".

So you are not only paying in minutes. You are also paying with the reliability of the data you already have.

How do you reduce double data entry?

Every piece of information should have one source. Start with this checklist:

  1. Pick the source. The master customer record lives in your CRM or your ERP, not both.
  2. Map the shared fields. List the fields that mean the same thing in both systems: legal name, tax ID, address, price list.
  3. Define the handoff. At which stage does a quote become an order? Move the data once, automatically, at that moment.
  4. Retire the side spreadsheet. Don't keep a separate Excel tracker for anything you can already see in your CRM or ERP.
  5. Compare monthly. Open 20 random customers in both systems and check whether the fields match.

Do these five things and you win twice. The team gets most of those 51 hours back for talking to customers. And managers see the same number in both systems, so meetings are about decisions, not about whose report is right.

Is an integration enough on its own?

No. An integration moves data from one system to another, but it moves wrong or missing data just as fast.

The real question is whether the data is right where it is first created. If reps write incomplete notes after a call, the integration spreads that gap to both systems. We covered what to watch for when connecting systems in CRM integrations without breaking your data.

FAQ

Is double data entry the same as duplicate records?

No. A duplicate record is the same customer created twice in one system. Double data entry is typing the same information into different systems by hand, and it often creates duplicates too.

How do I measure how long it takes?

Time 10 re-entries with a stopwatch over one week and take the average. Estimates usually come out shorter than reality.

Is it worth calculating for a small team?

Yes. In a three-person team, just 10 re-entered records a day add up to more than 20 hours a month. That is almost three working days for one person.

Can double data entry be eliminated completely?

In most cases it can be cut sharply. When each piece of information has one source and the handoff is automatic, manual entry is left for exceptions only.

Whose job is this calculation?

It is shared between the sales manager and the operations lead. One knows the record volume best, the other knows the fix time.

Closync AI is a decision partner that connects to your CRM and ERP: it points out missing and inconsistent records, tells you which deals are at risk and turns your team's call notes into the right CRM fields.

Last updated: 9 November 2026

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