What Are The Steps Involved in Data Enrichment

In the B2B sector, data enrichment is one of the most important processes for maintaining the usefulness of marketing data. Modern day-to-day businesses totally rely on data for formulating marketing, customer service and sales strategies. Business owners from all across the world use data for making practical and informed decisions that lead to the growth and success of their organization. But to use data effectively, it is necessary for it to be fresh, clean and up-to-date and this is where data enrichment services come into play!

What is Data Enrichment?

Data enrichment is the process of enriching data and adding more value to it. It involves combining an existing database with a third-party database from a trusted source or vendor. Enriched data is clean, nicely segmented and offers deep insights to the businesses.

 


A majority of industry leaders and leading brands have already realised the importance of enriching their raw data and hence they partner with the best b2b data enrichment companies for getting this crucial process done.

Step by Step Data Enrichment Process

Normally, the raw customer data includes social media analytics, email lists, website traffic, etc. When this data is in its raw form, it is nearly useless. To make it clean, authoritative and useful, it needs to be cleaned and structured through a data enrichment process.

 

Below is a step-by-step data enrichment process :

1. Defining Requirements

A massive amount of data can cause a lot of distraction and confusion, so it's better to get rid of unnecessary data and enrich what is left with you. The very first step for the data enrichment process is defining needs and requirements clearly. You should know the purpose of enriching your data.

2. Extracting and Cleaning Data

The second step is to extract the client data and clean it completely. The data cleansing process involves removing unnecessary, inactive and inaccurate data. It also involves fixing typographical and grammatical errors present in the data.

3. Data Appending

Data appending involves filling in the missing information and removing inconsistency and redundancy. This step makes the data complete and accurate by matching it against a reliable master database.

4. Data Validation

Once all the necessary information comes in one place, it is then checked and verified to make sure it is accurate and useful. The best B2b data enrichment companies perform multiple checks and scans on the databases to make sure they are of high quality and accuracy.

5. Data Segmentation

Segmentation is an important part of data enrichment and vice versa. Client data is divided into multiple segments and then enriched segment-wise. In the end, you get a highly organized and optimized database that can be put into use immediately.


Data enrichment makes your existing data 10 times more useful. So, start looking for the best data enrichment services today and improve your marketing performance.

 


 

 

 

 

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