How does Data Validation work in businesses?

Optimum data quality is ensured only when the data have undergone data cleansing. The quality of data is defined by the correctness and usefulness of the data. Data validation service providers use check routines that check whether –

• The input data is correct or not
• The data provided is of any use or not
• The data provided is secure or not

BDS Services being an expert in the process of Data Validation services, provide well-defined and consistent Data. Science and technology made the process of data validation a lot easier. There are numerous ways that can be used to validate whether the data entered is worthy of calling as a potential lead or not. Some of the methods or common data validation rules used by our star team are:

· Data type validation

Here, we use the Validation check and Post-Check action. We send feedback to help enforce the validation of the data. This also helps in checking whether the data entered is consistent or not. Asking to review the data when entered is what should be done.

· Simple constraint and range validation

We perform simple tests to check whether the data entered is correct or not. Like checking whether the US phone number entered for a particular state has the right code or not. Suppose a company has 3 branches and the option is asking the person to state the number code of their branch. If he/she fills it with a number that is not a code of any of the branches, then the data is termed as invalid and is not further processed.

· Cross-reference validation

We use external resources to verify whether the data provided to us is valid or not. We check the data by comparing it with the data we already have and also check with the help of trusted databases.

· Structured validation

We implement conditional constraints that further validate the data when we come across a complex data set. Structured data validation is used for companies that depend on complex data parameters like the finance industry.

Data validation is a process that must be done even if the data is complex and huge. And it should also be verified by a human at a certain point so as to make sure no good data is lost.

BDS Services offers Data Validation services along with Data mining, Web research, etc. To know more about our services, contact us.

Also Read:  https://datavalidationserviceprovidersuk.blogspot.com/2020/03/why-data-validation-is-crucial-in.html

 

Why Data Validation is crucial in Marketing

Modern B2B marketing is all about content and online lead generation. Marketing individuals want decision making people to come on their websites and provide the data that can be used for their business. But is important to make this exchange valuable and of significance. To pick out a potential lead from the abundance of data is important.

Marketers rely on an expensive process of online forms that will ask for job title, name, company name, email address, and telephone number. The process is expensive because it uses a lot of resources like marketing time, the budget spent on the funneling, etc. Hence, data capturing is one of the most important parts of your marketing strategy. Hence, it is important to not waste this investment in invalid data.

One of the best solutions to this problem is that you can validate the data right from the start. Bad, inaccurate and incomplete data leads to a slip in engagements and ultimately risks the customer turning to competitors.

1.      You should save sales time

Time is of utmost importance for salespeople and should be spent on ringing valid numbers not correcting them. Every minute salespeople stumble with wrong data, the competitors are attracting leads. InsideSales.com states that 35% to 50% of orders go to the company that makes the first contact. Hence, wrong phone numbers or email addresses can cost you dearly.

2.      Filtering wasted leads

It is very rare that your potential lead is converted into a sales prospect within the first few contacts. It on average takes 7-10 touches. Hence, instead of wasting time on sales wrong data, you should focus on potential leads and try to nurture them and convert them into sales.

3.      Fixing impaired attribution

Bad data like incorrectly spelled company name should be prevented.  Quality validation checks from the data validation team should prevent these simple errors so that no disruption occurs in the sales team. Redundant data, incomplete data, unauthenticated data, etc. must either be fixed or removed from the database altogether.

Having spent 8 years in the field of business marketing, BDS Services is one of the best companies in UK that offers data validation services. We aim in bringing authenticated data to our clients so that they can achieve their goals. To know more about how we work, contact us.

Also Read:   The Critical Importance Of Data Validation