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Data Mining Services

Our Data mining practice provides unparalleled experience and knowledge in developing customer analytical and predictive data mining solutions using various techniques such as neural networks, genetic algorithms, rule induction, decision trees and statistics.

Our mission is to provide you with the information and expertise you need to take advantage of the fast-growing technology of customer behavior analytics particularly in e-commerce. Knowledge Discovery has experience working with data mining tools such as SPSS, SAS and IBM Clementine.

Improve your e-business with profitable customer relationships and a sound plan for success with data mining.

What if you could ?
  • Maximize your e-business success with specific data mining goals and measurable success criteria?
  • Turn data it into actionable information that you can use to transform the way you interact with your customers?
  • Get started more quickly and stay on track more easily, guided by a roadmap and a team of experts?
Get answers to tough questions about e-mining
  • How can you leverage the web to improve customer relationships?
  • How can you use technology to make interactions with customers more personal?
  • What technologies are used for real-time deployment?
  • What do you know about your customers today? Web visitors?
  • How can you learn more about customers and answer key business questions using data?
  • What is the best analytical approach to answer key business questions?
  • What data do you need?
  • What will it take to implement the right solution?
  • What are the potential gains?
  • How can you measure results to evaluate success?
  • How have other organizations solved similar issues?
  • What will it take to beat your competition?

In summary our e-Mining services will help your organization to:

  • Improve e-business profitability by making your Web site smarter
  • Attract customers more profitably
  • Maximize sales by cross-selling the right products to the right customers
  • Retain your best customers instead of losing them to your competitions.
  • Reduce fraud to avoid losses
  • Identify risk to deliver services more effectively