Data Mining

Data mining is way to convert raw data in to useful information. Generally companies use data mining for taking better decisions. It helps to extract useful data from bulk set of database. Use of data mining process is increases by all businesses day by day as it can help to analyse and predict about output.

Organizations are use data mining process for

  • Learn about customers
  • Develop marketing strategies
  • Increase sales
  • Improves customer relationship
  • Improves production processes
  • Target marketing campaigns

Data mining is needed in all the places where a large amount of data is stored, handled and processed. Consider an example of banks. How data mining process is helpful for them? They find out their customers by analysing and predicting pattern from data, transaction details and customer profiles details available with them. Who could be interested in credit cards, who could be interested in personal loans or insurances etc.

Grocery stores are another well-known example for using data mining. They are providing cards to customers. The cards make it possible for stores to track who is buying what, when they are buying it and at what price. Stores use this data and analyse customer behaviour with help of data mining, make strategy and offer coupons to customers, plan when to put items on sale or when to sell them at full price.

In simple words Data mining contains three processes: Data Integration, Data Extraction and Data Evaluation

Use of Data Mining

  • Financial analysis
  • Scientific analysis
  • Fraud detection
  • Research analysis

Application of Data Mining:

  • Banks and Financial assets
  • Automation
  • Machine Learning
  • Ecommerce business
  • Pharmaceutical organizations
  • Research Institutions
  • Communication sector
  • Bioinformatics
  • Education
  • Insurance companies

Benefits from us for your data mining requirement:

  • Expertise in field of Data Mining
  • Our Data Mining software is easy to operate
  • Cost-effective and efficient solution compared to others