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Business Data Interpretation and KDD


Business Data Interpretation and KDDData is the most inevitable and valuable part of any business establishment. Collection and proper maintenance of data are important in order to improve the business. Business data interpretation and KDD are the two most sophisticated methods for proper data management.

KDD is also refereed as Knowledge Discovery in Databases or Knowledge Discovery and Data Mining. This process is mainly associated with identifying the data and providing automated analysis solutions, and is widely used in the fields of business, biomedicine, e-commerce, and defense. Some of the processes carried out in KDD are mentioned below:

  • Data cleansing
  • Data mining
  • Data selection
  • Pattern evaluation
  • Data transformation
  • Knowledge presentation
  • Clustering
  • Data classification
  • Characterization
  • Trend detection
  • Data Integration

Business data interpretation is the study of data, which critically affect the operation of any business. It is a complex job which combines quantitative and qualitative methods to achieve maximum efficiency in business. In the current scenario, most of the business establishments are trying to make more from the data collected everyday to improve the business. Different marketing tools and database analysis methods are used in resolving the business related issues quickly and accurately, and making positive progress in the business.

About Julie Clements

Julie Clements

Joined the MOS team in March of 2008. Julie Clements has background in the healthcare staffing arena; as well as 6 years as Director of Sales and Marketing at a 4 star resort. Julie was instrumental in the creation of the medical record review division (and new web site); and has especially grown this division along with data conversion of all kinds.