The idea of data management first became popular in the 180s in the United States. So just what is data management and why do companies need a data management solution? According to Realcomm, there are almost as many pieces of data as there are stars in the sky. That is a lot of data to manage.
Valuable pieces of data are often lost in the grand picture of a business operation. A data management solution allows for a large amount of revenue recovery after recovering that valuable data information. So, you can see that a data management solution will save both data and money.
A survey recently conducted by InformationWeek indicated that 37.5 percent of all businesses in the U.S think data management is one of their biggest challenges. There are many different things that companies can do to create the best data management solution for their businesses.
A data management solution should start even before data enters the systems. By this, we mean that the data that is going to be entered must be correct, after which the data must be entered into the system correctly. This will ensure data quality management.
A data management solution should also include a back up. If you lose data and cannot restore it from a back up, you can find yourself losing business and money. You should also use data cleansing as part of a data management solution. This can be done either manually or through software automation. This cleansing will find and remove any errors, and in turn increasing data storage space and productivity.
As we mentioned, back ups are an important part of a data management solution and tools for data management. If data becomes corrupt or altered and ceases to function, it can be replaced by the data found on the back up. This allows the data to continue functioning without have to be re entered.
Another data management solution process is to allow customers to enter data into the system. Your company will be saving money by not having your own employees entering that data. Customers will also be able to correct mistaken data. Just be careful, because some people may not be technical enough to correctly navigate your system and may cause data quality control issues.
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