Keeping it Clean: The Five Step Data Cleansing Process

Data cleansing is hard to do, hard to maintain, hard to know where to start. There seem to always be errors, dupes, or format inconsistencies. One of the most challenging aspects of data cleansing has got to be maintaining a clean list of data, whether it’s sourced from multiple vendors or manually entered by your hard-working interns, or a combination of both. One mistype could create a whole myriad of problems within your database, and can lead to hours upon hours of manual cleansing that could so easily have been avoided. So what is the solution to these frustrating, time consuming problems? Continue reading

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5 Ways Email Validation Can Help All Types of Marketing

There is only one drawback to data-driven marketing: It requires conclusive, comprehensive data to be effective. While this may seem obvious, some brands continue to make important decisions about their marketing with an inaccurate or incomplete email database. Unfortunately, if they don’t do anything to verify their data (particularly user email addresses), they’ll be unaware of one of the primary reasons their marketing efforts failed. Continue reading

5 Steps to Data Cleansing of Customer Data

It is necessary for organizations to have an updated database, both for ensuring efficient contact with their customers and maintaining compliance standards. Data Cleansing or data scrubbing is the process of identifying and correcting inaccurate data from a data set. With reference to customer data, data cleansing is the process of maintaining consistent and accurate (clean) customer database through identification & removal of inaccurate (dirty) data. Here, inaccurate data stands for any data that is incorrect, incomplete, out-of-date, or wrongly formatted. Continue reading