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…

Data has become vast over the last few years and companies are continually looking to derive value from it wherever possible. Every business has several sources of data, from multiple channels and virtually always in different formats. It is not uncommon to have batches of transactional or financial data, website data such as Google Analytics,…

When looking at data quality, your database should be accurate, up to date, have only unique records, be consistent and usable. There are many tools on the marketplace that will help address data quality, below is the list of top 10 tools that will help solve for a certain data quality issue that you may…