Data Mining

Data mining is the process of analyzing data to find hidden patterns using technologies such as OLAP, data cubes, pivot tables, and advanced algorithms such as Bayesian, Microsoft Clustering, and Neural Networks. It becomes business intelligence when the information is applied to become actionable business initiatives. Data mining is also referred to as Knowledge Discovery in Databases (KDD), Smart Databases, Intelligent databases, or Predictive Analytics.

Inputsoft usually takes advantage Microsoft SQL Server Data Mining tools, which are built into the SQL Server Business Intelligence (BI) platform. Much of the underlying data comes from custom and off-the-shelf business software such as Customer Relationship Management (CRM) or Enterprise Resource Planning (ERP/MRP) applications, along with Insurance Software, Financial Software, and Web Log Data.

Inputsoft has significant experience working with executives who are involved in strategic and tactical decision making as well as line-of-business managers responsible for cost reduction initiatives. Marketing Managers use data mining to gain insights on competitive intelligence, to explore untapped customer and market opportunities, to support product and service positioning and pricing decisions, and to perform detailed marketing campaign analysis. Sales and Customer Service Managers who responsible for tactical decision making use data mining to support sales forecasting, direct marketing, and customer acquisition, retention and extension (cross/up-sell) purposes. Operational managers use data mining to identify inefficiencies and bottlenecks in complex supply chain, production and distribution networks.

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