Retyping data costs both time and money; here is how to minimize it during document processing.

An incorrect account number, a missing field, a typo in a customer's name, an old address, an outdated price or a forgotten signature may not be a major problem on their own. However, across hundreds or thousands of documents, they lead to corrections, repeated contact with customers, delays in subsequent processes and a growing administrative burden.

The most reliable piece of data is therefore often the one that does not need to be repeatedly re-entered.

Digitising document processes should not mean merely transferring a paper form onto a screen. The aim is to ensure that correct data is created once, passes the necessary checks and is then used throughout the process without unnecessary manual entry.

Where errors most commonly arise when processing documents

Administrative errors do not usually arise because employees are unable to work accurately. They are often created by the process itself. A typical problematic flow may look like this:

email → form → Excel → internal system → document → signature → another system

The more times a person enters or transfers the same information, the more opportunities there are for discrepancies. The four most common problems are:

1. the same data is entered multiple times,
2. documents are missing required information or signatures,
3. paper documents are illegible or incomplete,
4. individual systems contain different data.

1. The same data is entered multiple times

For example, when onboarding a new customer, the customer provides their details in a form. An employee then re-enters them in the CRM. Some of the data from the CRM is manually inserted into the contract. After signing, further data is transferred to the billing or operations system. The customer's name may have been entered four times during a single process. Every repetition creates a risk of:

• a typo,
• transposed digits,
• using outdated data,
• incomplete transfer of information,
• inconsistent formatting,
• assigning data to the wrong case.

The problem is not only the error itself. It then needs to be found, verified and corrected. If the incorrect data is already part of a signed document or has been transferred to another system, the correction may trigger another administrative process.

What repeated data entry causes

Situation	Risk	Typical consequence	More efficient principle
Data from an email is re-entered into a system	Typo or omitted data	Incorrect customer record	Structured digital input
Data from a system is manually transferred into a contract	Use of an incorrect or outdated value	Incorrect contract	Automatic document pre-filling
The same data is held in several applications	Different versions of the information	It is unclear which data is valid	Defined source of reliable data
A paper form is re-entered into an application	Error when reading or re-entering	Correction and manual review	Digital form
Data is entered again after signing	Duplicate work	Slower continuation of the process	Integration with another system

Every manual re-entry is a potential checkpoint, but also a potential source of error.

2. Missing fields are often discovered far too late

A paper form cannot alert an employee that they have skipped a required field. Similarly, a document sent as an email attachment may not indicate that:

• the date is missing,
• the identification number has not been provided,
• the customer has not selected one of the options,
• a required attachment has not been included,
• the document does not contain all required signatures.

The error often emerges only when another department processes the document. For example:

sales representative → customer → back office → error → sales representative → customer → back office

A single missing field can therefore create an entire additional round of communication. A digital process can catch some of these problems as soon as the document is created. The form can check required data, the data format or completion of the required steps before the process continues.

3. Paper creates problems with both legibility and completeness

Paper has one major advantage: it requires no technology. From the perspective of further processing, however, it brings several limitations. A document completed by hand may contain:

• illegible handwriting,
• crossed-out or corrected values,
• ambiguous digits,
• missing pages,
• damaged sections,
• ambiguous signatures.

Moreover, digitising by scanning may not eliminate the problem. Although the company obtains an electronic image of the document, the information in it remains unstructured and often has to be processed manually again by an employee. A scan of paper is a digital copy. It is not necessarily a digital process.

Real change occurs when data is created in a structured digital form and the document is the result of the process, rather than its only carrier.

Which errors can a digital process eliminate when the document is created?

Paper form versus a managed digital form

Area	Paper or static document	Managed digital process
Required fields	They can be omitted	The system can require them to be completed
Data format	Not checked	The format can be checked
Existing data	Often entered again	Can be pre-filled
Selection of options	Potentially ambiguous marking	Defined permitted values
Attachments	May be missing	The process can require them to be added
Signature	May be in the wrong place or missing	The signature can be a defined workflow step
Review	Performed manually after submission	Part of the review can take place immediately
Data transfer	Manual	Data can be passed to another system

Technology cannot automatically eliminate every error. However, a well-designed workflow can eliminate those that arise because the process allows incomplete or incorrectly formatted data to proceed.

4. The same customer, different data in different systems

Errors do not affect documents alone. In many companies, information is divided among a CRM, ERP, accounting system, document management system, spreadsheets and specialised applications. A customer changes their address. The CRM already contains the new one. The ERP still contains the old one. The contract was created using data from the ERP, while the billing system uses another database. Suddenly, there are three versions of the same piece of data. This raises the question: Which system contains the truth?

When designing a digital process, it is therefore important to define a so-called single source of truth: the system or source that is authoritative for a specific piece of data. Where possible, other applications should not create separate copies through manual re-entry, but should use a controlled data transfer.

A document should not be a dead end for data

A traditional process often works like this: system → document → person → another system

Data moves from a structured database into a PDF or onto paper, and a person must then return it to a structured database. This is an unnecessary data loop.

A more efficient model looks more like this: source data → document → review/signature → automated workflow → another system

The document remains an important output, but it does not have to be a barrier between two information systems. Integrating the document process with existing applications can eliminate the need to enter the same information repeatedly.

Where does automation have the greatest impact?

Not every manual step needs to be automated. Processes that combine a high volume of documents with recurring data and clear rules generally have the greatest potential.

Typical processes with a high risk of errors

Process	Typical manual tasks	Common error	What can be improved
Customer onboarding	Re-entry of personal and contact details	Incorrect or missing data	Digital form and automatic data transfer
Contract conclusion	Copying data between a system and a document	Outdated value or incorrect version	Pre-filled documents and workflow
HR documentation	Repeated entry of employee data	Discrepancy between the HR system and the contract	Integration of the HR system
Sales orders	Manual transfer of customer and product data	Incorrect price or identifier	Connection to the source system
Service reports	Paper forms followed by re-entry	Illegible data or a missing field	Digital form with checks
Handover reports	Paper record and signature	Missing signature or attachment	Managed digital procedure
Internal approvals	Sending documents by email	Use of the wrong version	Centralised workflow

 

The electronic signature is only one of the final parts of the process

When documents are digitised, attention often focuses on the signature. It is important, but an error can arise before the document even reaches the person signing it. If the document contains incorrect data, an electronic signature will not solve the problem. It will merely sign the incorrect document more quickly. The signature should therefore be part of a broader process:

correct data → document creation → review → approval → signature → archiving → another system

If you need a more detailed explanation of the various electronic signing options and their use in business processes, see also the article Electronic signatures accelerate digitisation.

How to design a process with less room for errors

1. Identify where the same data is created repeatedly

Take one specific process and mark every point where someone enters data manually. If the same information is entered twice or more, check whether the original source can be used.

2. Determine the source of reliable data

For every significant piece of data, it should be clear which system is authoritative. For example, the CRM may be the source of contact details, the ERP the source of order data and the HR system the source of personnel data.

3. Introduce checks as close as possible to the point where data is created

It is cheapest to correct an error before the information reaches subsequent steps. A digital form can therefore check whether required fields have been completed, the format of the data or logical conditions before submission.

4. Generate documents from existing data

If the company already knows a piece of data, the user should not have to enter it again. The document can be created using information available in the source system, and the user adds only the data that is genuinely created within the specific process.

5. Connect the signature to the workflow

Signing should not operate as a separate step outside the process. After signing, the document can automatically move to the next person, the archive or a downstream system according to the configured rules.

6. Minimise manual transfer between systems

Not every integration has to be a large-scale IT project. It is important to identify the data points where manual re-entry causes the most errors or administrative burden.

Checklist: Do unnecessary errors arise in your document processes?

Question	YES / NO
Do employees enter the same data into two or more systems?	YES / NO
Is data from emails, PDF documents or paper re-entered manually?	YES / NO
Are documents returned for completion because data or attachments are missing?	YES / NO
Does a document sometimes lack all the necessary signatures?	YES / NO
Do employees have to review illegible or handwritten documents?	YES / NO
Do different company systems contain different values for the same piece of data?	YES / NO
Are documents created by manually copying data from systems?	YES / NO
Does processing a signed document require further manual re-entry?	YES / NO

 

Evaluation

Number of YES answers	What to consider
0–2	The process is probably manageable. It may be worthwhile to add data checks or unify internal rules.
3–5	It is worth mapping where data is created, where it is re-entered and which steps can be connected or automated.
6 or more	The process probably contains systemic sources of errors. It is advisable to assess the entire data flow, from its creation through the document, review and signature to other company systems.

 

The checklist serves as a general guide. On its own, it does not determine whether a company needs a new system, an integration or a modification to its existing process.

How to measure error rates in document processes

If a company wants to improve a process, it first needs to know where the problem arises. Useful metrics include:

• the number of documents returned for correction,
• the proportion of documents with missing data,
• the number of manual re-entries per case,
• the number of discrepancies between systems,
• the number of documents requiring additional contact with the customer,
• the time required to review one document,
• the administrative time required to correct an error,
• the time from obtaining data until it is available in the target system.

A particularly useful question is: How many times must a person enter information during a single process when the company already has it? If the answer is more than once, there is probably room for simplification.

The aim is not to digitise errors

Digitisation alone does not guarantee high-quality data. If a company transfers a complicated paper-based procedure into electronic form without changing its logic, it may merely create a faster way to do the same work. An effective digital process should reduce the number of manual interventions and ensure that:

• data is created as close as possible to its source,
• existing data is reused without re-entry,
• the system checks required information,
• documents are created from up-to-date data,
• signing and approval are part of a single workflow,
• the resulting information continues to other systems without unnecessary manual transfer.

Platforms for digitising document processes can connect these very steps – from the form and document creation through signing to the workflow and integration with other applications. The result is not merely fewer typos. The company gains a process in which it is easier to determine where the data came from, whether it is complete and where it should go next.

Let data move through the process without unnecessary re-entry

If your employees repeatedly enter the same information, check incomplete documents or correct discrepancies between systems, the problem may not lie with the people. It may lie in the way data moves between the individual steps.

By connecting digital forms, documents, approvals, electronic signing and downstream systems, it is possible to create a process in which data is created once and then used wherever it is needed.