For eCommerce businesses, validating their data is crucial to ensure that the information they collect is accurate and reliable. By using a validated dataset, businesses can avoid many potential challenges such as inaccurate reporting or failure of marketing operations due to outdated information. Additionally, using a validated dataset allows for better decision-making when it comes to developing marketing campaigns or product offerings.
There are different types of data validation methods, depending on the requirement of the respective business. While some focus on checking the accuracy of customer information, others examine its format. However, the process of managing and gathering large amounts of data accurately can be a challenge. That’s where data validation services come in handy, by ensuring that the business’s data is precise and up-to-date. When you outsource data validation services, it can help pave the way for smoother operations and improved performance.
Types of Data Validation
There are several different types of data validation methods, each with its own specific purpose. Depending on your business’s data requirement, a suitable process can be chosen. The following are the different procedures for data validation.
1- Code Checking
In code checking, a field must be selected from a list of valid values or follow a certain formatting rule. It is easier, for instance, comparing a postal code to a list of legitimate codes makes it simpler to confirm that it is valid. The same concept can be applied to country codes as well.
2- Format Checking
This is where you make sure that the data entered into a field meets specific formatting requirements since numerous data types adhere to a predetermined format. For example, if you are expecting user input in the form of a date, you would need to make sure that the date is formatted correctly according to your company’s standards.
3- Range Checking
The results of a range check will show whether the input data falls within a particular range. It can be especially useful when it comes to verifying passwords. For example, if someone tries to log in with a password that is too short or too long, range checking will automatically detect this and prevent them from logging in.
4- Data Type Checking
This is where you make sure that the data entered into a field matches the expected data type. For example, if you are expecting user input in the form of a number, you would need to make sure that the data entered into the field is a number. If it isn’t, then an error will be generated and the form will not be processed.
5- Uniqueness Checking
One type of validation is uniqueness checking. Uniqueness checking ensures that the data entered into a system is unique and not duplicated among multiple records. Uniqueness checking can be performed using several methods, such as comparing the strings in each record or comparing unique values in fields,
6- Consistency Check
A logical check or a consistency check verifies that the data was entered in a way that is logically coherent. For instance, determining whether the shipping date for a package is followed by the order placement date.
What are the Steps to Perform Data Validation?
There are a number of steps that need to be followed in order to perform data validation.
1- Choosing Data Volume
The first step in data validation is to determine the volume of the data. This involves estimating how many records will be contained in the entire dataset. You should also include an error rate for your estimated volume to account for any unforeseen errors that may occur.
2- Validating the Database
During the data validation process, it is important to ensure that all requirements are met with the existing database. This includes verifying that unique IDs and the number of records match between the source and target data fields. Since verifying large data can be difficult it’s worth considering outsourcing this task to a qualified service provider. If you outsource data verification services, it can help you examine the accuracy of your data before importing it into the system. Data verification services also help in monitoring any inconsistencies or inaccuracies in data before processing to the data validation process.
3- Format Standardization
Inconsistencies within the data should be looked for and corrected wherever possible. Incorrect formats and null field values can cause errors during validation, so taking care to fix them as soon as they are spotted is essential.
What are the Challenges of Data Validation?
Data Validation is a complex and time-consuming task, any discrepancies here can lead to errors in the final database. Some challenges of Data Validation include:
- Some data may be inaccessible or protected from unauthorized access, which can make it difficult to validate it.
- There might be some disruption if the company has numerous databases. A lot of data here can be outdated leading to waste of time and effort.
- The process of data validation can also be challenging when you have a big database and you have to do it manually. In such a case you have to pay close attention to minute details, it again requires more time and effort.
How can Data Verification and Validation Services Help to Overcome These Challenges?
Data validation can be a difficult process, especially when it comes to ensuring that all the data entered is accurate. Data verification and validation services can help to alleviate some of these challenges by providing tools for examining data against specified standards. It makes the process easier for businesses. It will ensure that their data is accurate and up to date. These services can help to identify and correct errors in data quickly, thereby ensuring that it is readily available for usage.
1- Reduced Costs
When you outsource data validation process it reduces the in-house expenses like – infrastructure, technology and human resource. This means that you have more capital to conduct the core operations.
2- Speedier Processes
Companies that provide data verification services have experienced teams, equipped with advanced technology. It enables them to provide faster turnaround time. This means that you can quickly identify and correct any errors before they cause significant damage.
3- Higher Quality Standards
When validation is outsourced to a third party, you’re guaranteed high standards of data quality. Companies providing B2B data enrichment services for eCommerce have a team of trained experts and a definite system for quality maintenance. It results in better analysis, improved business operations, and growth.
4- Greater Flexibility
Outsourcing data verification and validation services provides you more flexibility in terms of cost and time, methods, and more. You can choose between manual and automated validation processes. Moreover, you can get any volume of data verified and validated. B2B data validation companies offer flexible delivery models that are very helpful for businesses to meet deadlines.
With an outsourced validation process, you have more flexibility when it comes to timing and content. You don’t have to adhere to rigid deadlines or specific formatting requirements – which means that you can create a more personalized experience for your customers.
5- Increased Accuracy
Data verification services have a team of experienced professionals that can guarantee you greater accuracy than hiring and training an in-house team. Additionally, experts from an outsourcing agency are free from any biases or pressure as they are not directly involved in your business operations. Accurate data results in better analysis and helps in formation of improved strategies.
With an outsourced validation process, you’re guaranteed greater accuracy than if it were conducted in-house. This is because external experts are not subject to the same biases and pressures as professionals. Approaching the data validation process through a biased mindset might hamper the accuracy of the output.
B2B data validation in eCommerce is an essential process as it ensures authenticity and accuracy of your data. By verifying data against known, reliable sources, you can corroborate that the information collected from customers is correct and consistent. This process can also help you identify any discrepancies in data, which will lead to improved operations and increased business growth.
As an organization, you may have multiple databases that contain key data. Making it difficult to monitor because of the large volume. To help with this, you can reach out to professional data validating services.