With data cleansing, which is often referred to as data scrubbing, information in a database can be changed or removed for a variety of reasons.  With this type of tool, any type of organization, especially those with a tremendous amount of stored data, can ensure the information is clean and accurate. For example, industries such as banks, telecommunications, and insurance commonly maintain an abundance of data.  However, if that information were found to be inaccurate, formatted wrong, incomplete, or even if there were duplications, data cleansing would resolve the problem.

Since we live in a world of technology, with all types of proprietary information stored by businesses, there are all types of innovative solutions to protect that information.  Every business whether a one-person operation or a huge corporation with thousands of employees needs to make data privacy and security the number one priority.  Even if some data does not seem like it needs to be protected, you need to remember that there are also bad people who thrive on companies that have this belief.

Any company that wants to survive, expand, and beat out the competition must have control over data maintenance and administration. While the two aspects go hand in hand, data maintenance and administration are also separate dynamics, which will be discussed in this article.  In summary, data management or maintenance is control over a company’s information from a number of angles.  Obviously, the primary goal is to ensure data is protected but also sorted, analyzed, distributed, and managed in a professional manner.

What is data governance – also known as DG, this is a comprehensive formula for the availability, usage, integrity, and protection of data used for startup and growing companies.  For any business to succeed, regardless of size or industry, there has to be a group of leaders who are responsible for creating the policies and procedures of a business so strategies can be understood and scope met.

What is reference data – this involves virtually any type of data used for the sole purpose of taking database information and categorizing it.  In other words, reference data is all about your database and the information stored there, specifically how it stretches beyond expectations and limitations of the business.

When asking what is reference data, you will find many different definitions simply because this is such a vast area.  For example, the following are just a few of the dynamics associated with reference data: