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Operationalizing Analytics – It Shouldn’t Have to Hurt

Tom OttMarketing Data Scientist

RapidMiner

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TMToday’s Agenda • Introduction• Challenges of Getting Your Models into

Production• Various Operationalization Options • Demo • Q&A

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TMUnified Platform Accelerates Time to Value

Data PrepSpeed & optimize ALL

dataexploration, blending

& cleansing tasks

Operationalize

Easily deploy & maintain models and

embed analytic results

Model & Validate

Apply machine learning to rapidly prototype & confidently validate predictive models

Embed results in all types of

business apps & data

visualization tools

Incorporate all types of

data

ACCELERATES TIME TO VALUE

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Source: October 16, 2014, “The Customer-Activated Enterprise” Forrester report

Insights for lines of business:

Making Insights Actionable Can Be a Struggle

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TMRapidMiner Server Makes it Easy!

• Shared repository for predictive models & results

• Offers a variety of deployment options

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TMDeployment Options on RapidMiner Server• Write to files or databases• Create REST APIs to expose models as a

Web Service– XML, JSON, HTML

• Export predictive results to business apps– Qlik or Tableau Dashboards– CRM & Marketing Automation Platforms

• Share results through RapidMiner’s native dashboard/Web App

• Schedule or trigger model execution & management

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Demonstration

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TMAdditional Resources for RapidMiner Server• Resources

– RapidMiner Blog: rapidminer.com/resources/blog/– RapidMiner Community: community.rapidminer.com

• On-Demand Demos– RapidMiner Operationalization Demo:

https://rapidminer.com/resource/operationalization-demo/– Data Visualization with Qlik Demo:

https://rapidminer.com/resource/rapidminer-and-qlik/

• Training Videos– RapidMiner Server: https://rapidminer.com/training/videos/

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Contact Us inquiries@rapidminer.com @RapidMinerwww.rapidminer.com

Q & A

Operationalization in the Community

community.rapidminer.com

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BACK UP

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RapidMiner Studio

ModelScoring

RapidMiner Server - Operationalization

Historical DataDB / Biz Sys

Hadoop, Files…

Business Understanding

Data Understanding

Data Preparation Modeling Validation Deploy

Model+

New Data

Web Service API

Application (eMail, ERP,CRM…) / Portal

Databases / DWHs / OLAP-Cubes

RapidMiner Server

Biz/App/DV integration

RM Web App

Application (Data Visualizations)

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• Data Scientists come up with a cool model, some insights.

• Now those insights need to be put into action• Usually hand if off to IT – here you go.• IT needs to do some coding to put it into

production – may take weeks or months