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Advanced Analytics using QlikView and R

Advanced Analytics using QlikView and R

A walkthrough of how to integrate QlikView with R to enable advanced statistical analysis directly in QlikView.

Even Vinge

July 03, 2012
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  1. What is Analytics? Customer Analytics • Churn Analysis, Upsell, Cross

    Sell • Wallet Size Analysis Market Analytics • Market Segmentation • Social Network Analysis Fraud Management • Credit Card Fraud Detection • Tax and Welfare Fraud Detection Risk Analytics • Scoring • Capital at Risk Enterprise Performance Analytics • Trends and Forecasting • Profitability Analysis Planning & Scheduling • Workforce Optimization • Supply Chain Planning
  2. Why R? Open source programming language Created for statistics Library

    of more than 2500 add ons • Linear and nonlinear modeling, prediction, testing, clustering, graphs > a <- 5 > a*3 [1] 15
  3. Service Based Architecture HTTP Input Output Analytical model QlikView Server

    Input Output R Server HTTP Input + Model Output Analytical service Input + Model Output QlikView Server R Server Alt. 1 Alt. 2
  4. Further Possibilities Permanent storage Manual forecasts, comments Queries against web

    services Updated currency rates, stocks, weather Google Predict Sentiment analysis, machine learning