Today we all hear that data rules, data is critical, data is core, data is the most important, essential and vital. However, to get clean, accurate, flawless data is not an easy task. Despite the fact that modern technologies, tools and programs allow companies to collect tons of data, human input still remains a substantial…

There are many types of data you can validate and/or verify this includes: addresses, phone numbers, emails, websites, psychographics, demographics and firmographics. There is a big different between verification and validation, let’s examine the difference based on the type of data that you are trying to verify or validate. Email Verification Vs. Email Validation Email…

Duplicate finder is the process of identifying duplicates in your CRM. Duplicates can be found in all databases regardless if you use solutions such as dupe blockers or have very strict processes. However, not all duplicates are bad. There are many reasons why you would want to have duplicates in your system. Some of the…

Data preparation when you are migrating your data to a new system, is one of the most critical phases in your system migration project. The first step prior to any data manipulation, de-duping and standardization can happen is to back-up your original data that way you are not risking any data loss. Step 1: Understanding…

In traditional business, data quality was quite simple. You either had data that was right or wrong. However, with the continued growth and deployment of Big Data and technology, it is now a more complex matter. There are millions or websites transacting daily meaning it is incredibly tough to keep up with the competition. Unlike…

Data quality or integrity is important for accurate reporting, efficient sales, profitable marketing and a variety of other reasons. But how do you go about identifying if you have a data quality issue? Most companies wait until they have to migrate their data to a new system or when data quality has declined so much…

Data cleansing can include many different subsets. It can include data validation, data enhancement, data appending, de-duplication, data standardization/normalizations and data modification/manipulation. Data cleansing typically is performed when an issue has been identified, prior to launching a marketing campaigns, when migrating to a new system or simply prior to doing analysis. However, it is advisable…