Our Data validation services provide data that can be used for data analytics,business intelligence, or training machine learning models.
Projects Delivered
Trained Professionals
Years of Experience
Through our Data validation services, DEO offers updated and actionable datathat empowers businesses to design strategic plans to achieve meaningful goals.
Here’s a look at some of our services.
Our data validation experts identify the right tool to input data. This data is validated for error checked to ensure that it is negligible. The experts also draw a timeline to ensure consistency.
Once the data is validated, the data fields are formatted according to the client’s specifications. A data review is conducted to ensure there are no incorrect, duplicate, or blank entries.
Our experts undertake multiple checks to ensure that the database is validated at multiple levels. It is checked for accuracy and made to ensure that it is compliant with the requisite data policies.
Employing the most up-to-date data validation tools and software on different platforms, DEO has created a world-class method that handles any type of data validation process adeptly. We can build the most proficient datasets under list building services, email verification services and contact verification services. Some of the common types of data validation checks in our services include the following.
We incorporate a data type check to ensure correct data type has been entered. For example, a field is manipulated to accept only numeric data. If any data containing other characters such as letters or special symbols is entered, the system rejects it.
We undertake a code check to ensure that a field matches a valid list of values or has a particular set of formatting rules. For example, we can verify that a postal code is valid by cross checking it against a list of valid codes.
We use a range check to verify whether input data falls within a predefined range. For example, a secondary school student will be aged between 11 and 16 years. So, we program the computer tool to accept numbers between 11 and 16 only.
We use format check to follow a predefined format. A common example is date columns that are written in a fixed format like “DD-MM-YYYY” or “YYYY-MM-DD”. This data validation procedure helps maintain consistency across data and through time.
We use consistency check to confirm that the data has been entered in a logically consistent way. Checking if the delivery date is after the shipping date is an example for consistency check.
We make use of uniqueness check to ensure that an item is not entered multiple times into a database. Some data like IDs or e-mail addresses are unique by nature and must not be repeated in the database.
Employing the most up-to-date data validation tools and software on different platforms, DEO has created a world-class method that handles any type of data validation process adeptly. We can build the most proficient datasets under list building services, email verification services and contact verification services. Some of the common types of data validation checks in our services include the following.
We incorporate a data type check to ensure correct data type has been entered. For example, a field is manipulated to accept only numeric data. If any data containing other characters such as letters or special symbols is entered, the system rejects it.
We undertake a code check to ensure that a field matches a valid list of values or has a particular set of formatting rules. For example, we can verify that a postal code is valid by cross checking it against a list of valid codes.
We use a range check to verify whether input data falls within a predefined range. For example, a secondary school student will be aged between 11 and 16 years. So, we program the computer tool to accept numbers between 11 and 16 only.
We use format check to follow a predefined format. A common example is date columns that are written in a fixed format like “DD-MM-YYYY” or “YYYY-MM-DD”. This data validation procedure helps maintain consistency across data and through time.
We use consistency check to confirm that the data has been entered in a logically consistent way. Checking if the delivery date is after the shipping date is an example for consistency check.
We make use of uniqueness check to ensure that an item is not entered multiple times into a database. Some data like IDs or e-mail addresses are unique by nature and must not be repeated in the database.
DEO's Data validation services are well-suited for businesses who have multiple data sources and would like to streamline them, even for massive quantities or complex files. There are many advantages to data validation for businesses, including:
Data validation helps to ensure that data is reliable, accurate and complete. This can lead to better decision-making, as businesses need to rely on authentic and validated data only.
Data validation contributes to the reduction of errors in data entry and processing. This can save businesses time and money, as they do not have to spend time rectifying and verifying errors.
Data validation helps improve efficiency by automating data entry and processing process. This can free-up employees to undertake other important tasks, such as customer service or marketing.
Data validation can help businesses to comply with regulations, such as those governing financial reporting or customer data privacy.
Data validation can help businesses to provide an enhanced customer experience by ensuring that customers get access to accurate or complete information.
DEO's Data validation services are well-suited for businesses who have multiple data sources and would like to streamline them, even for massive quantities or complex files. There are many advantages to data validation for businesses, including:
Data validation helps to ensure that data is reliable, accurate and complete. This can lead to better decision-making, as businesses need to rely on authentic and validated data only.
Data validation contributes to the reduction of errors in data entry and processing. This can save businesses time and money, as they do not have to spend time rectifying and verifying errors.
Data validation helps improve efficiency by automating data entry and processing process. This can free-up employees to undertake other important tasks, such as customer service or marketing.
Data validation can help businesses to comply with regulations, such as those governing financial reporting or customer data privacy.
Data validation can help businesses to provide an enhanced customer experience by ensuring that customers get access to accurate or complete information.