ExactBuyer Logo SVG
The Ultimate Guide to Contact Data Normalization: How to Keep Your Data Clean and Consistent
he Ultimate Guide to Contact Data Normalization: How to Keep Your Data Clean and Consistent

Contact data normalization is the process of standardizing data to ensure consistency and accuracy. This is vital for any business that aims to use business intelligence and data analytics to gain insights about their customers or prospects. In this guide, we’ll take you through the ultimate steps you can take to ensure that your data is clean and consistent.


Step 1: Identify Inconsistencies in the Data


The first step in contact data normalization is to identify inconsistencies in the data. This can be done by performing a data audit. During the audit, look for things such as duplicate entries, variations in capitalization, and inconsistencies in the data format. Once identified, it's easier to correct these errors.


Step 2: Pick a Standardized Format


After identifying inconsistencies in the data, the next step is to pick a standardized format. The format should be tailored to your business needs, but some basics steps to follow include ensuring that fields such as first name, last name, email, and phone numbers are uniform. Most importantly, decide which data is usually considered most useful for your business and is prioritized.


Step 3: Use Data Normalization Software


Due to time constraints and the high volume of data requiring normalization, it is advisable to use data normalization software. This is an important step where ExactBuyer comes in handy. Our software automates the process of data normalization, saving you time and money. We use machine learning algorithms to take care of any inconsistencies in the data, making the whole process effortless for you.


Step 4: Automate Your Data QA/QC Process


The final step is to keep your data clean by automating your data QA/QC process. Doing manual checks after normalization can be cumbersome and prone to data errors. Luckily, ExactBuyer's automation process is designed to help you achieve clean data consistently. The software provides automated data checks that ensure that the data is consistent and free of errors.


Conclusion


Normalizing data is an essential part of any data management process. It is vital to ensure that the data is clean and accurate for any meaningful insights to be gained from it. Using ExactBuyer's data normalization software ensures that your data is accurate and consistent. Don't let inconsistent data impede your business progress and growth. Sign up for ExactBuyer using the link below, and start enjoying the benefits of clean and accurate data today!


Get serious about prospecting
ExactBuyer Logo SVG
© 2023 ExactBuyer, All Rights Reserved.
support@exactbuyer.com