Introduction

Data cleansing is a crucial part of data management that should not be ignored. If your business is going to grow and thrive, you need to make sure that your data is accurate and trustworthy. This means removing duplicates, enforcing business rules and making sure there are no null or empty fields in your database. If this sounds like something you need help with, then we’re here for you!

What is data cleansing?

Data cleansing is the process of identifying and correcting inaccurate or incomplete data to ensure it is accurate, consistent and relevant.

It’s important to clean up your data because it will help you improve your business processes and increase the efficiency of your business.

Data cleansing is an important part of data management.

Data cleansing is the process of finding and correcting errors in data. It’s also known as data scrubbing or data standardization, and it can help you avoid problems with your organization’s data quality.

Data cleansing involves identifying issues with the information you have, then fixing them so that you have accurate information on hand when it comes time to do something with it–like report on how many customers visited your store last month, or calculate how much money they spent while they were there.

Why is data cleansing so important?

Data cleansing is a crucial part of data management. It ensures that your information is accurate and consistent, so you can make better business decisions. Data cleansing also helps you to avoid costly mistakes and legal issues by ensuring that your company has a clean record of customer information.

When it comes to cleaning up messy data, our experts have seen it all: misspelled names, inconsistent phone numbers and email addresses–even unique identifiers like Social Security numbers that are repeated in multiple places within one spreadsheet file!

What are the benefits of data cleansing?

• Reduce the risk of errors.
• Improve data quality.
• Improve customer experience.
• Improve business performance and increase your revenue.

Enforce business rules for each field in your database.

Business rules are a set of conditions that define the data that is acceptable for a particular field. Business rules help you to ensure the accuracy of your data and can be used to enforce security and compliance.

Business rules are linked to other business rules, so they may be applied across multiple fields in your database. For example, if you want all users who sign up for an account on your website to have an email address with @mydomainname as part of their username (e.g., john@examplecompanyname), then you add this rule: “Must contain @mydomainname”. When someone fills out the form with their new username (john), our system checks whether it includes “@examplecompanyname” anywhere within its value before saving it as part of our database records.

Reduce duplicate entries in your database.

Duplicate entries waste time and money. They also cause problems with data analysis, data integrity, and data security.

When you have duplicate entries in your database, it becomes difficult to get an accurate representation of what’s going on in your business. If you have two or more people who work for the same company but have different titles (e.g., director vs vice president), how do you know which one is right? Or if two customers share the same name but live at different addresses or phone numbers–who gets contacted when there’s an issue? One solution may be to remove duplicates from a column within a table or view:

Ensure that no data fields are empty or null in your database.

Empty fields are bad for a number of reasons. First, they can create duplicate records in your database that you don’t want to keep around. Second, they can cause errors when you’re trying to work with the data and make it difficult for your users as well.

In order to find empty fields, you’ll need to use an editor like Excel or Access that allows you to filter out null values (also known as blanks) from the table view. If any rows contain a blank value where there should be some sort of entry (like “Smith” or “John”), then that row has an empty field–and we need to get rid of it!

Savvy Data Cloud Consulting can help your business be successful with Data Cleansing Services

Savvy Data Cloud Consulting can help your business be successful with Data Cleansing Services. We have the knowledge and experience to help you get the most out of your Data Cleansing  Services investment.

Conclusion

We hope this article has helped you understand the importance of data cleansing, and what it can do for your business. If you need help with any aspect of your data management or cleansing process, we would love to hear from you!