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Agile deployment predictive analytics on hadoop
1.
Agile Deployment of
Predictive Analytics on Hadoop Faster Insights through Open Standards Hadoop Summit 2012 © 2012 Datameer, Inc. All rights reserved. © 2012 Datameer, Inc. All rights reserved. Page 1
2.
Today s Session
Ulrich Rueckert Michael Zeller Data Scientist CEO Datameer Zementis After this session, you will be able to… 1. Effectively deliver predictive solutions combining: a. R, KNIME & Others [Model Development] b. Zementis Universal PMML Plug-in [Model Deployment & Execution] c. Datameer [Scalable Hadoop Infrastructure] 2. Identify PMML as a vendor-neutral & open standard to: a. Incorporate predictive models from virtually any commercial vendor or open source tool b. Apply such models on Big Data 3. Leverage a lightweight, agile deployment process for predictive analytics to: a. Accelerate time-to-market b. Lower cost and complexity c. Reuse existing predictive assets © 2012 Datameer, Inc. All rights reserved. Page 2
3.
Who is Datameer?
§ “Business Intelligence on top of Hadoop” § Established 2009 by Hadoop and enterprise software veterans § Offices in Silicon Valley, New York and Germany § Some customers: © 2012 Datameer, Inc. All rights reserved. Page 3
4.
Who is Zementis?
§ Focus on Operational Predictive Analytics § Offices in San Diego and Hong Kong § Predictive Analytics Software Technology: • ADAPA® Decision Engine (Predictive Models and Rules) • ADAPA Add-in for Excel • PMML Converter • Universal PMML Plug-in (UPPI) § Global Partner Network © 2012 Datameer, Inc. All rights reserved. Page 4
5.
Big Data and
Analytics § People and Sensor Data • Transaction records • Social media • Climate information 90% of the data today created in the last 2 years • Mobile GPS signals • Healthcare • Smart Grid § Benefits from Analytics • Descriptive Analytics answers What happened? • Predictive Analytics answers What will happen next? © 2012 Datameer, Inc. All rights reserved. Page 5
6.
Operational Predictive Analytics
Score Distribution 1st Lien Stand-Alone Loans 14% Goods Bads 12% Poly. (Goods) Poly. (Bads) % Within Class 10% 8% 6% 4% 2% 0% 50 100 150 200 250 300 350 400 450 500 550 600 650 700 750 800 850 900 950 1000 % of Delinquent Loans per Month Score 90 80 % of Delinquent Loans 70 700 60 750 50 800 40 850 900 30 950 20 10 0 Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Months © 2012 Datameer, Inc. All rights reserved. Page 6
7.
From Model Building
to Deployment Model Building Model Deployment Integration / Execution Datameer Server PMML PMML PMML (models) (models) (models) PMML UPPI Simple Deployment & Execution 1. Upload PMML file(s) in DAS 2. PMML turns into custom function 3. Seamlessly score data in Datameer © 2012 Datameer, Inc. All rights reserved. Page 7
8.
PMML Predictive Model Markup
Language • PMML is an XML-based language used to define statistical and data mining models and to share these between compliant applications. • Mature standard developed by the DMG (Data Mining Group) to avoid proprietary issues and incompatibilities and to deploy models. Transformations • Supported by all leading data mining tools, commercial and open-source. • Allows for the clear separation of tasks: Model development vs. model deployment. • Eliminates the need for custom code and proprietary PMML book available on model deployment solutions. Amazon.com • Uniform deployment platform ensures scalability and reliability of model execution. © 2012 Datameer, Inc. All rights reserved. Page 8
9.
PMML: Predictive Model
Management Integrating across all systems and processes Business Process PMML IBM SmartCloud Applications Amazon EC2 CRM, ERP, EXCEL, etc. © 2012 Datameer, Inc. All rights reserved. Page 9
10.
PMML: One Standard,
One Process Divisions Service Providers External Vendors PMML Applications © 2012 Datameer, Inc. All rights reserved. Page 10
11.
Demo Setup
§ End-to-end Model Development Lifecycle § PMML Standard as the Glue Real-time Process Understand Improvement and ROI Model Data Analysis Client s Data Deployment Universal PMML Plug-‐In Development Demonstrate Model Design Build Model(s) to and Test Model Performance Unlock Hidden Value © 2012 Datameer, Inc. All rights reserved. Page 11
12.
Demo: Annual Marketing
Campaign § Which customers should we target? 2011 2012 Campaign Customer § Split 2011 results in training Results List and test set § Learn model on training set Subset for Testing § Apply model on test set Fine-Tuned Prediction Model § Fine-tune model until Subset for Prediction evaluation shows success Training Model § Apply final model on 2012 customer list Model Evaluation Campaign Candidates © 2012 Datameer, Inc. All rights reserved. Page 12
13.
Summary •
Open Standards vs. • Minimize Data Movement • Leverage Datameer UI Proprietary Code • Massively Parallel Execution • Deploy in Minutes vs. Months • Best-of-Breed Tool Set • Scale with Business Demand • No Coding Skills Required Avoid Vendor Ease of Use Lock-in Hadoop-based Fast ROI Scoring Paradigm © 2012 Datameer, Inc. All rights reserved. Page 13
14.
Online Resources §
Learn More About PMML § Data Mining Group website http://www.dmg.org § Join LinkedIn PMML Discussion Group http://www.linkedin.com/groupRegistration?gid=2328634 § Articles, on-line videos, blogs http://www.zementis.com/community.htm § Product Info § On Demand Webinar http://data.datameer.com/power-of-big-data-insights-of-predictive-analytics/ § UPPI for Datameer http://www.zementis.com/DAS-plugin.htm © 2012 Datameer, Inc. All rights reserved. Page 14
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