KNIME UGM 2014 Partner Session



Similar documents
Big Data Analytics. Analysis of high-volume and unstructured Data

KnowledgeSTUDIO HIGH-PERFORMANCE PREDICTIVE ANALYTICS USING ADVANCED MODELING TECHNIQUES

KnowledgeSEEKER POWERFUL SEGMENTATION, STRATEGY DESIGN AND VISUALIZATION SOFTWARE

How to Optimize Your Data Mining Environment

Solve Your Toughest Challenges with Data Mining

Hadoop s Advantages for! Machine! Learning and. Predictive! Analytics. Webinar will begin shortly. Presented by Hortonworks & Zementis

Easy Execution of Data Mining Models through PMML

WHITEPAPER. Creating and Deploying Predictive Strategies that Drive Customer Value in Marketing, Sales and Risk

Bizzmaxx Intelligent Sales & Marketing Errol van Engelen Managing Director Errol.vanengelen@bizzmaxx.nl

How Organisations Are Using Data Mining Techniques To Gain a Competitive Advantage John Spooner SAS UK

Predictive Analytics Software Suite

Solve your toughest challenges with data mining

Data Mining with SAS. Mathias Lanner Copyright 2010 SAS Institute Inc. All rights reserved.

Solve your toughest challenges with data mining

Real World Application and Usage of IBM Advanced Analytics Technology

WHITEPAPER. How to Credit Score with Predictive Analytics

Understanding Data Warehouse Needs Session #1568 Trends, Issues and Capabilities

The top 10 secrets to using data mining to succeed at CRM

Overview, Goals, & Introductions

KnowledgeSEEKER Marketing Edition

Three proven methods to achieve a higher ROI from data mining

Data-Driven Decisions: Role of Operations Research in Business Analytics

Banking on Business Intelligence (BI)

IBM Analytical Decision Management

Three steps to put Predictive Analytics to Work

ORACLE REAL-TIME DECISIONS

TouchPoint Sales: Tools for Accelerating a Multi-Channel, Customer-Focused Sales Process. Kellye Proctor, TouchPoint Product Manager

Planning successful data mining projects

Driving Customer Acquisition and Retention with Predictive Analytics

PREDICTIVE ANALYTICS IN HIGHER EDUCATION NOVEMBER 6, 2014

Predictive Analytics: Turn Information into Insights

5 Big Data Use Cases to Understand Your Customer Journey CUSTOMER ANALYTICS EBOOK

Predictive Customer Interaction Management

Building and Deploying Customer Behavior Models

Optimising real-time marketing. An Experian white paper

IBM Customer Experience Suite and Predictive Analytics

Leading the way with Information-Led Transformation. Mark Register, Vice President Information Management Software, IBM AP

What s Cooking in KNIME

Insurance customer retention and growth

Increasing marketing campaign profitability with Predictive Analytics

Data Mining. Dr. Saed Sayad. University of Toronto

The Forrester Wave : Customer Analytics Solutions, Q4 2012

ANALYTICS CENTER LEARNING PROGRAM

Angoss Predictive Analytics Software Suite

Product recommendations and promotions (couponing and discounts) Cross-sell and Upsell strategies

Portrait Interaction Optimizer TM. Convert inbound interactions into revenue and retention opportunities

Apigee Insights Increase marketing effectiveness and customer satisfaction with API-driven adaptive apps

Maximizing the ROI Of Visual Rules

The SAS Solution for Enterprise Marketing Automation - Opening Session Demo

Harnessing the power of advanced analytics with IBM Netezza

Mastering Big Data. Steve Hoskin, VP and Chief Architect INFORMATICA MDM. October 2015

Portrait Customer Analytic Solutions

Get to Know the IBM SPSS Product Portfolio

The Total Economic Impact Of SAS Customer Intelligence Solutions Real-Time Decision Manager

2015 Analyst and Advisor Summit. Advanced Data Analytics Dr. Rod Fontecilla Vice President, Application Services, Chief Data Scientist

Information Systems Roles in the Value Chain Customer Relationship Management (CRM) Systems 09/11/2015. ACS 3907 E-Commerce

ACS 3907 E-Commerce. Instructor: Kerry Augustine November 10 th Bowen Hui, Beyond the Cube Consulting Services Ltd.

Business Intelligence Solutions for Gaming and Hospitality

The SAS Transformation Project Deploying SAS Customer Intelligence for a Single View of the Customer

CONNECTING DATA WITH BUSINESS

Marketing Optimization. An Experian white paper

Digging for Gold: Business Usage for Data Mining Kim Foster, CoreTech Consulting Group, Inc., King of Prussia, PA

An Introduction to SAS Enterprise Miner and SAS Forecast Server. André de Waal, Ph.D. Analytical Consultant

Real-Time Big Data Analytics + Internet of Things (IoT) = Value Creation

Predictive Analytics Powered by SAP HANA. Cary Bourgeois Principal Solution Advisor Platform and Analytics

Real-Time Analytics on Large Datasets: Predictive Models for Online Targeted Advertising

Contact Center Performance Management Software

Mike Maxey. Senior Director Product Marketing Greenplum A Division of EMC. Copyright 2011 EMC Corporation. All rights reserved.

Easily Identify Your Best Customers

Five predictive imperatives for maximizing customer value

IBM Customer Experience Suite and Cognos Business Analytics

Hexaware E-book on Predictive Analytics

Brochure More information from

Cost Reduction in Bill-Insert Campaigns With Predictive Analytics Stamatis Stefanakos

Predictive Analytics: Seeing the Whole Picture

IBM SPSS Direct Marketing

Understanding Your Customer Journey by Extending Adobe Analytics with Big Data

IBM SPSS Modeler 15 In-Database Mining Guide

SAS CRM Marketing Solutions

6 Steps to Creating a Successful Marketing Database

Confidently Anticipate and Drive Better Business Outcomes

How to Manage Your Data as a Strategic Information Asset

EMEA CRM Analytics Suite Magic Quadrant Criteria 3Q02

SAP Predictive Analysis: Strategy, Value Proposition

The Three Waves of Customer Care

Some vendors have a big presence in a particular industry; some are geared toward data scientists, others toward business users.

Technology and Trends for Smarter Business Analytics

Oracle Real Time Decisions

Transcription:

KNIME UGM 2014 Partner Session DYMATRIX Stefan Weingaertner DYMATRIX CONSULTING GROUP 1

Agenda 1 Company Introduction 2 DYMATRIX Customer Intelligence Offering 3 PMML2SQL / PMML2SAS Converter 4 Uplift Modeler 5 Interactive Scorecard Builder 6 Q&A 2

Company Introduction 3

DYMATRIX Analytics for Business Advantage» Solution provider for analytic CRM, Customer Intelligence, Marketing Automation and Campaign Management ( regular and big data)» Focus on customer insights, based on best of breed technologies for revenue acceleration and marketing efficiencies» Recent expansion into industrial analytics» Project execution excellence proven in 900 projects with mid- and large cap companies from a variety of industry sectors» Successful development and deployment of unique analytics automation software products - for precision, reliability and scalability» Owner managed and independent 4

DYMATRIX - Analytics is the Differentiator» More than 300 man-years analytics/data mining consulting and solution deployment across all industries» Expertise with most of the market-leading advanced analytics tools KNIME SAS Enterprise Miner IBM SPSS Modeler R Hadoop Mahout Angoss Knowledge Studio MS SQL Server Analysis Services many more» Cutting edge analytical solution offerings (DynaMine & DynaCision)» Focus on embedded analytics (process integration) and analytics automation (DYMATRIX-solution DynaMine)» Big Data Analytics Pioneer» Comprehensive offering of training courses (tool-independent & toolspecific trainings) 5

Product Portfolio The Customer Insight Suite Analytics Insights Automation Results DynaCampaign» Intelligent multi-channel campaign planning, target group selection and response measurement» Integration of all historical and current online and offline data DynaMine» End2end automation of data science processes» Intelligent model management for automation of preprocessing, training & scoring of models DynaSocial» Identify and quantify customer reviews, requirements and needs DynaCision» Intelligent real time decision models» Credit limit controlling, next best offer, churn prevention etc. 6 Customer 6 Intelligence Solutions

Referenzen References Telecommunication Travel, Transportation Retail / e-commerce Service Provider 7

References Banks, Insurances Media & Entertainment Utilities, Industry Public Sector Schwäbisch Hall 8

DYMATRIX Customer Intelligence Offering 9

Customer Intelligence Excellence» KNIME Solution Nodes» DYMATRIX CI Solutions (KNIME Services under the hood) 10

Our KNIME Solution Nodes & KNIME Consulting Services PMML2SQL / PMML2SAS Converter» Convert PMML to executable SQL Code for In- Database-Scoring» Convert PMML to executable SAS Code for Model Scoring within SAS Uplift Modeling + Analytical Consulting + Technical Consulting + Node Development + Trainings» Train a predictive model that predicts the incremental response to marketing actions» For up-sell, cross-sell, churn and retention activities Interactive Scorecard Builder» Powerful interactive Scorecard Building Nodes for Design of Credit or Marketing Scorecards» Comes with Interactive Binning Nodes for both interval and nominal inputs» Supports PMML 4.1 including Reason Codes 11

PMML2SQL / PMML2SAS Converter 12

PMML2SQL / PMML2SAS Converter Export PMML, SQL or SAS Scorecode 13

Uplift Modeler 14

N O A C T I V E C O M M U N I C A T I O N churn stay Uplift Modeling - the idea behind & benefits A C T I V E C O M M U N I C A T I O N stay» Uplift modelling uses both the target group and control group to train a predictive model that focuses on the incremental response.» The only segment that provides true incremental responses is the Persuadables» The Uplift Tree Modeler provides a modeling technique that can separate customers into the 4 segments» Traditional response modelling often targets the Sure Things being unable to distinguish them from the Persuadables churn Persuadables Sure Things Lost Causes Do Nothings or Sleeping Dogs By only targeting the Persuadables in an outbound marketing campaign, the contact costs and hence the return per unit spend can be significantly improved. 15

DYMATRIX Uplift Tree Nodes 3 Export PMML, SQL or SAS Scorecode 1 Uplift Tree Model 2 Validate Uplift Tree Model 16

Interactive Scorecard Builder 17

Scorecards - the idea behind» Scorecards represent a powerful and easily interpretable formulation of predictive models, originated in retail banking to estimate and rank-order consumer credit risk» As a generalized additive model using binned representations of its input fields, the scorecard formulation is also frequently used to predict other types of binary and continuous outcomes: marketing response churn prevention fraud detection revenue potential and many more DYMATRIX Interactive Scorecard Builder 18

Interactive Scorecard Builder in a Nutshell» The Interactive Scorecard Builder comes with 7 KNIME Nodes Nominal Binner (Based on WoE) Nominal Binner Apply Advanced Discretization (sophisticated Numeric Binner based on WoE) Advanced Discretization Apply Scorecard Builder Scorecard Apply Scorecard Evaluation» Consequently supports PMML 4.1 Scorecard Standard for platform independent batch or realtime scoring (http://www.dmg.org/v4-1/scorecard.html)» Many more features integrated Reason Codes Subsequent manual adjustments of scorecards Scorecard-versioning to satisfy requirements for documention 19

Interactive Scorecard Builder - Workflow 2 Interactive Binning of Numeric Inputs based on Weight of Evidence (WoE) 1 Interactive Binning of nominal Inputs based on Weight of Evidence (WoE) 20

Interactive Scorecard Builder - Workflow 3 Interactive Scorecard Builder Configure Scorecard (Base Points, Base Odds, Points to double the odds etc.) Edit Score Points Edit Reason Codes 21

Interactive Scorecard Builder - Workflow 4 KS Statistic to evaluate Scorecard Accuracy 22

DYMATRIX Interactive Scorecard Builder Deployment in Zementis ADAPA 23

Contact DYMATRIX CONSULTING GROUP GmbH Zeppelin Carré Lautenschlagerstrasse 2 D-70173 Stuttgart Your Contact Person: Stefan Weingaertner Thank your for your attention. Please contact us for further questions! Phone Fax E-Mail Web +49.711.22.007.88-12 +49.711.22.007.88-88 s.weingaertner@dymatrix.de www.dymatrix.de 24