In the course of development, the volume of information processed by companies increases as well. Records, invoices, data on products, forms, documents, and spreadsheets generate plenty of repetitive tasks. That is why lots of companies try to find an opportunity to outsource online data entry services.
Still, the process of outsourcing starts not with deciding whom to hire for data entry. It starts from a more profound question – what should be done with the information. Knowledge of the process itself, sources, information requirements, security measures, and output makes the choice of outsourcing much simpler.
This manual covers the definition of data entry, data entry outsourcing for businesses, considerations before outsourcing, and building a data entry workflow.
What Is Data Entry?
It is always better to know about data entry before making a decision regarding outsourcing.
Data entry is an activity where you enter, transfer, update, organize, or convert information into digital form.
Sources of such information can be:
- Paper documentation
- Scanned documents
- PDF documents
- Pictures
- Emails
- Website forms
- Websites
- Spreadsheets
- Invoices
- Product catalogues
- Customers' information
The destination can be any of the following systems: spreadsheet, database, CRM, ecommerce software, accounting software, or any other program.
As seen above, data entry involves more than just typing information.
Why Businesses Outsource Online Data Entry Services
The most common reason why organizations decide to outsource data entry online is managing workload.
Certain data processing jobs can be quite time-consuming despite the fact that it takes just a couple of minutes to process each separate entry.
For instance, while inputting one client record can take less than a minute, inputting 20,000 such entries may turn into a major project.
If routine tasks occupy too much time of internal employees, then certain tasks should be outsourced to another team.
Such a decision can enable internal staff to concentrate on performing tasks which require certain expertise or decision-making skills.
How to Identify Data Entry Tasks Suitable for Outsourcing
Every activity that involves handling of data is not equally ready to be outsourced.
One of the approaches to assessing the viability of an activity is assessing its predictability.
Predictability of tasks is usually higher where there is:
- Well-defined input
- Standardized fields
- Standard processes of handling
- Well-defined output format
- Standard quality requirement
For instance, the process of moving information from a standard form to a spreadsheet might not pose difficulties.
On the other hand, an activity that requires individuals to judge information regarding a business will need a different approach.
Understanding the Different Types of Data Entry
Data entry can be performed in various ways.
Document Data Entry
Data is gathered from documents and then entered into a computerized system.
Spreadsheet Data Entry
Data entries are made or modified in the spreadsheet.
Database Data Entry
Data is entered or updated in a structured database.
Product Data Entry
Product names, descriptions, prices, specifications, SKU numbers, categories, and inventory information are handled.
Form Processing
Data from physical or electronic forms is entered into the database.
Data Conversion
Data is moved from one computerized form to another.
Data Updating
Old data entries are examined and updated as necessary.
It is essential to know the kind of work you are dealing with because each type has its own accuracy and work process needs.
The First Step Before You Outsource Data Entry
It begins by defining the project.
Rather than simply stating that “data entry is needed,” give details about what needs to be done.
For instance:
“Data from 5,000 PDF forms need to be entered into a spreadsheet which will have eight predefined fields.”
A much better specification of a project than just “data entry is required.”
Project definition should specify:
- Source format
- Number of records
- Fields required
- Output format
- Formatting guidelines
- Accuracy criteria
- Deadline
- Approval process
And many more…
How to Build an Effective Outsourced Data Entry Workflow
The structured process for outsourced data entry may be broken down into a number of steps.
Step 1: Sources Collection
Gather and sort out all of the sources before starting work.
Step 2: Data Classification
Sort sources or data according to types.
Step 3: Instructions Development
Develop instructions for entering the data.
Step 4: Data Entry
Process and enter information following the instructions.
Step 5: Quality Check
Check records for completeness and correctness.
Step 6: Error Identification and Correction
Discover errors in records and correct them.
Step 7: Delivery
Supply a finished database in the appropriate form.
This is an effective scheme allowing for going from the source information to the final product.
Why Standardization Is Important
Inconsistency is among the major problems in data entry.
If an individual inputs “California” while another person inputs “CA” while yet another inputs “Calif” in regard to state entry, all this may be pointing to the same entity; however, software may read the data differently.
Data standardization is the way forward.
Businesses can create standards for:
- Names
- Addresses
- Dates
- Phone numbers
- Currency
- Categories
- Product codes
- Abbreviations
What the standard is will depend on what the dataset is meant to do.
How to Maintain Data Accuracy
Accuracy must always be seen as a continuous process.
One method that can be used to achieve accuracy is to verify data while data processing is in progress rather than waiting for the whole project to be completed.
This way, if any kind of pattern exists with regard to errors, the instructions can be revised right away.
In that way, one avoids repeating the same mistake throughout a large dataset.
Common Data Entry Quality Checks
Quality control methods may include:
Completeness Checks
Is all required data provided?
Accuracy Checks
Is the data consistent with the original document?
Format Checks
Is the data in the correct format?
Duplicate Checks
Do duplicates exist in the records?
Consistency Checks
Are similar values expressed consistently?
Logical Checks
Does the data make logical sense in relation to the data set?
This depends on the nature of the data being collected.
When You Outsource Data Entry to India
Businesses might consider outsourcing data entry to India as part of their international business process strategy.
Some of the tasks that can be undertaken in an international data entry service include documentation, updating of databases, e-commerce data entry, spreadsheet management, and digitization of records.
But the company should not think that geography is the only factor influencing the quality of the job.
In looking at the international workflow, the organization needs to look into:
- Communication
- Work schedules
- Technical needs
- Security of data
- Quality control measures
- Documentation
- Project management
- Data transfer procedure
What to Check Before Sending Data to India
If a firm wishes to transfer data entry to India, then it has to start by knowing which data is going out of the internal environment.
The issue becomes even more relevant when there is sensitive information in the data.
Issues that can be considered here include:
- What is the data that is going out?
- Is everything essential?
- Who will have access?
- Where will it be stored?
- How will it be transferred?
- How long will it be kept?
- How will access be discontinued after the completion of the task?
Common Mistakes When Outsourcing Data Entry
A number of preventable blunders could make the outsourcing venture harder to complete.
Mistake 1: Offering Generalized Guidelines
Guidelines such as “input all entries with precision” are not helpful.
The use of detailed formatting and validation rules would be better.
Mistake 2: Not Considering Source Reliability
Low-quality scans or incomplete documents might compromise the resultant data set.
Mistake 3: Assessing only Speed
Speedy inputting of data does not always equate to quality data.
Mistake 4: Conducting Quality Assessment in the Last Stage
Early detection of any quality issues would help avoid future trouble.
Mistake 5: Adjusting Requirements Without Adjusting Guidelines
Any alteration of guidelines should be communicated to those involved in the venture.
Mistake 6: Disregarding Data Security
Data should never be sent out without knowledge of the access and handling requirements.
How to Handle Unclear Information
There is no guarantee that every source document will be a flawless one.
Some documents may have ambiguous numbers, addresses without all the details, poor handwriting, or missing fields.
There must be some established procedure on how to handle such cases.
Examples include:
- Marking the document
- Forwarding the document for manual verification
- Filling the field with nothing
- Use of predefined coding
Sending the document back to the source team
What will be the right procedure depends on the project. The key here is consistency.
Outsource Data Entry Work for Temporary Projects
It should also be taken into account in the case of a temporary overload.
For instance, a firm may require the digitalization of ten years’ worth of documents but may not necessarily hire permanent staff for that purpose.
Some other firm might require the uploading of the large product catalog before setting up its online store.
The overload in such cases may rise dramatically over a certain period.
Temporary outsourcing should be judged separately from continuous data processing processes.
Scaling Data Entry as Information Volume Grows
The amount of data will not always be static.
A company could start out with a few hundred pieces of data and end up handling hundreds of thousands.
What works for processing smaller amounts of data may no longer work on a larger scale.
Some of the items an organization will have to consider with a bigger project include:
- Batch processing
- Automatic validation
- Standardized naming conventions for files
- Monitoring progress
- Sampling plans
- Revisions
- Escalation procedures
The Relationship Between Data Entry and Business Decisions
Data entry may seem like an administrative function, but the data generated through the process can affect the decisions made in business.
Management can analyze the following through databases:
- Customers' behavior
- Sales data
- Inventory
- Financial transactions
- Performance of the products
- Trends in operations
In case the underlying data has some errors, the analysis conducted from the information generated may also turn out to be incorrect.
How Technology Supports Data Entry
Technology is capable of eliminating repetitive manual processes.
For instance, OCR technology can read and extract text from scanned images.
Validation rules can detect any missing and incorrectly entered fields.
Importation techniques can exchange structured data between applications.
Technologies may prove helpful when dealing with regular data.
Nonetheless, technology is not always able to cope with unusual documents, handwriting, and information.
Therefore, human verification will always be required.
How to Create Better Data Entry Instructions
Good instructions should be easy to comprehend even by someone who has not worked on the project before.
A good example of documentation would include:
Field name: Customer Name
Mandatory: Yes
Data source: Customer form
Format: First name + Last name
If not there: Highlight
Such an example will reduce the element of interpretation.
Screenshots of samples are also helpful where necessary.
Questions Businesses Should Ask Before Outsourcing
Before considering outsourcing their data entry process, companies may consider asking themselves:
- Which data is to be processed?
- How many records are there to process?
- How often is the task to be done?
- How precise does the final dataset have to be?
- Which systems will get the information?
- What formatting is required?
- How are errors to be handled?
- Is there any sensitive information in the data?
- How is quality going to be assessed?
- What to do in case of changes in requirements?
Is Outsourcing Always the Right Choice?
No
Some companies might discover that the internal process works better for small or highly sensitive projects.
Other organizations may have huge amounts of standardized data that are easier to process using an external process.
It will depend on:
- Workload
- Complexity
- Data sensitivity
- Internal capacity
- Quality demands
- Frequency
- Project duration
There is no one-size-fits-all model of outsourcing.
Final Thoughts on Outsource Online Data Entry Services
In order to outsource online data entry services effectively, companies must consider the full life cycle of the data rather than just data entry itself.
This starts with knowing what data entry is, which items may be outsourced, and establishing guidelines. The process goes on with processing, validation, quality checks, and delivery.
Companies that contemplate outsourcing data entry must take into account data security, source quality, standardization, and communication. In case of data entry outsourcing to India, the approach would be similar since location plays only a part in the whole process.
With an appropriate process, data becomes easy to manage since all participants in the process know the required information, its entry and handling errors, and verification of the final dataset.
The idea of an effective data entry process is quite straightforward – to turn raw information into structured records.
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