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Many of the top companies in the world today are only successful because of how they were able to change the way they assessed their data. This data includes information from many different sources, like how much you are spending on wholesale products, how much you are making on retail sales, product returns, and of course customer service concerns or complaints. CRM is a huge part in understanding the direction in which your company is going. In fact, customer relations management should be at the top of your list, meaning that you will have to focus on database normalization and database management systems. In order to handle all of this data, you need to use what is called a data quality improvement strategy, one that can help your company become more successful this year.

Data Quality Improvement Strategy Practices

What you will want to do is to first identify the so-called data defects, and this can only be done by looking at data profiling. This is simply the analysis of all of your company coming in, assessing it for consistency, uniqueness and completeness. In order to properly assess this information, you will need to have a computer software program which is constantly gathering and organizing this information. For example, if you are using data management solutions like a data mining tool to sift through the data that you have in order to identify patterns, this will help with data profiling and allow you to identify possible data defects much more quickly.

Data Cleansing Strategies

Once you have assessed all of the data coming in, you need to clean up the problems that are leading to profit loss for your company. This is a very labor intensive activity, one that is not only time-consuming but can also be very expensive. In order to do this efficiently, critical data elements need to be identified and separated from data that is unnecessary. There are software programs that will perform the so-called extract, transform and load operations, which will make all of this much easier.

Preventing Defective Data From Returning

The final step of any data quality improvement strategy is to make sure that once you have removed bad data, it cannot get back in. In order to do this efficiently, you should have people that are designated as data administrators, metadata administrators, and data quality stewards. These are the individuals that can look at the data coming in before it is processed, providing a continuous cycle of data quality improvement strategy. Over time, this will simply become habit as people learn to use the software programs that are available to assess the data for your business, helping you run a much more efficient company.

Regardless of the size of your company, the number of employees that you have, or the number of sales that you make every year, understanding every aspect of your business in regard to the data that is produced is the key to becoming profitable. By training certain people to use software that can handle all CRM and business data that is coming in, you can easily take your company up a notch, allowing it to become more profitable by simply understanding how to properly process and utilize the data streaming in.

The author:

RingLead offers a complete end-to-end suite of products to clean, protect and enhance company and contact information, leading to improved organizational efficiency, reliable business intelligence, and maximized ROI on CRM and marketing automation investments. Since 2003 RingLead has helped solve the dirty data problems of large enterprises, Fortune 500 companies and small businesses across the globe.