Stats Explorer Functions

• Data Management

  • Function to input and output varied data formats
  • Function to import and export files and data bases

• Data Processing

  • Function to preprocess and edit data
  • Varied preprocessing functions such as missing data imputation, and data mergence, selection, separation, and addition, etc.
  • Filtering, grouping, standardization, setting, sampling, and so on.

• Graphs and Statistical Analyses in an Interactive way

  • Output of data and results via dialog boxes
  • Varied data explorations and analyses such as histograms, boxplots, scatter plots, etc.
  • Providing diverse graphs such as lift charts

• AI Algorithms and Statistical Methods

  • Various data mining algorithms such as rule generation, classification,
  • grouping, decision trees, neural networks, etc.
  • Model evaluation scoring

• Supporting Decision Making

  • Target marketing with customer segmentation models
  • Customer retention framework
  • Vitalization of potential customers through the customer value assessment model
  • Retention of best customers and new customers
  • Support for campaigns
  • Support for modeling such as fraud detection, risk management, etc.

Features & Strengths

Data Exploration is suitable for large company settings since it is offered in the client-server system. It provides an easy, convenient UI to generate models quickly.

• Variety of Data Acquisition

  • Various file formats (CSV, Text, PMML, ARFF)
  • Able to access to diverse DBs (Oracle, Informix, Sybase, MS SQL)

• Management of the Interface and Models in view of End Users

  • GUI supporting environment
  • Diverse graphic functions
  • Intuitive user interface
  • Supporting multiple models for a single project
  • Parallel processing in the multi-core system

• Easy Data Exploration and Conversion

  • Processing large data
  • Basic statistical analysis
  • Providing diverse graphs
  • Generating derived variables
  • Providing varied data control functions

• Various Modeling Methods

  • Statistical analyses
  • Association Rules
  • Clustering
  • Neural Network
  • Decision Tree
  • Scoring, etc.

Solution Configuration

statsExplorer의 솔루션 구성과 모듈 주요특징을 설명하는 표입니다

Configuration	Module	Main Features
I/O , Database		Data search from files or DBs File or DB data Saving generated or processed data files as DBs
Data Manipulation		Able to preprocess data such as missing data imputation, mergence, selection, separation, addition, etc. Able to define or modify data properties, names, etc. Providing data filtering, grouping, standardizing, and sampling functions
Graphs & Table , Statistics		Displaying data and results through dialog boxes Boxplots, scattered plots, histograms using data Providing diverse graph types such as lift charts
Mining		Providing the latest data mining algorithms such as rule generation, classification, grouping, decision trees Able to understand data and develop models through mining analytical techniques

Effects

• Increasing profitability through strengthening the customer relationships

• Saving marketing cost by supporting strategic decision making

• Increasing effectiveness of DB marketing such as customer segmentation, CRM, etc.

• Establishing and practicing different customer management policies according to the contribution of customers