Data Cleansing/Profiling and Management Data cleansing, also known as data scrubbing or data profiling, is the process of ensuring that a set of data is correct and accurate. During data cleansing, records are checked for accuracy and consistency, and either corrected, or deleted as necessary. Data cleansing can occur within a single set of records, or between multiple sets of data which need to be merged, or which will work together. At its most simple form, data cleansing involves a person or persons reading through a set of records and verifying their accuracy. Typos and spelling errors are corrected, mislabeled data is properly labeled and filed, and incomplete or missing entries are completed. Data cleansing operations often purge out of date or unrecoverable records, so that they do not take up space and cause inefficient operations. All our data cleansing projects include calling your accounts and prospects and verifying their details over the phone. Information is updated in your preferred CRM platform field by field, or our agents can use the Salesforce.com CRM platform which allows a lot of customizations to meet your specific needs. Usually, we check for details like title, first and last name, job title, email address, company address and website, but any other info you might need can be easily added to the platform and updated. Sometimes, our clients need more specific information such as number of employees, turnover, etc. Data cleansing is very important to the efficiency of any data dependent activity. If some of the clients within a database do not have accurate phone numbers, your employees cannot easily contact them. If your clients' email addresses are not formatted correctly, an automated email system would be unable to send out the latest coupons and special deals. The job of data cleansing is to insure that the data within a system is correct, so that the system is able to use the data. Whenever two systems of data need to work together, data cleansing is even more important. If a company has two branches, which might work with many of the same customers, not only does the data in each branch need to be complete and accurate, but the two branches need to have matching data. If a customer updates her phone number with one branch, the data at the other branch needs to be updated with the same information to insure the highest efficiency. Data cleansing works not only to make sure that data is accurate, but also that it is consistent between different records. Any time you are storing a lot of data, errors are bound to creep into the system. The goal of data cleansing is to minimize these errors, and to make the data as useful and meaningful as possible. Without regular data cleansing, mistakes and errors can add up, leading to less efficient work and more complications down the road. What is Data Cleansing used for? You can learn more about our completed Data Cleansing projects here. Data Management Outstanding product data management and data storage management can help you leverage information and create additional profits. |
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