Operationalize Advanced Analytics
Mike Gualtieri, Principal Analyst
March 15, 2015 Webinar
Twitter: @mgualtieri
#Priority
Planning, implementing, or expanding the use ofadvanced analytics.
85%
Base: 984 Technology Decision-MakersSource: Forrester’s Business Technographics Global Data And Analytics Survey, 2015
Francis Bacon (1561–1626)
Founder of the modern scientific method to establish causation
between phenomenon.
“Knowledge is power.”
#Analytics
© 2015 Forrester Research, Inc. Reproduction Prohibited 6
Learn Model Detect Adapt
Only the analytical enterprise can compete and win in the age of the customer
Predictive Analytics
Streaming Analytics
Descriptive Analytics
Prescriptive Analytics
(Advanced Analytics)
© 2015 Forrester Research, Inc. Reproduction Prohibited 7
Source: Forrester Research
Advanced analytics has enterprise momentum“What is your firm's/business unit's current use of the following technologies?”
Source: Forrester's Global Business Technographics Data And Analytics Survey, 2015 and 2014Base: 1805 (2015), 1063 (2014)
Non modeled data exploration and discoverySearch/interactive discovery
Streaming analyticsMetadata generated analytics
OLAPAdvanced visualization
Text analyticsLocation analytics
Predictive analyticsProcess analytics
Embedded analyticsWeb analytics
DashboardsPerformance analytics
Reporting
19%19%
24%31%
34%22%22%
35%31%
43%53%
54%50%50%
69%
39%42%42%
42%42%
43%43%
46%48%
52%54%
55%56%
57%
69%
2015
2014
#Applications
Enterprises have access to plenty of data…
…but, applications are not smart without a brain.
What are movers and shakers saying about equities that we cover right?
How can you know if your baby is sleeping soundly or if something is wrong right?
What offers should you make to your customer if they are within proximity of store?
#
Data scientists use a combination of statistical
and machine learning algorithms to find
patterns and predictive models.
© 2015 Forrester Research, Inc. Reproduction Prohibited 16
They have an amazing set of valuable skills…
#
© 2015 Forrester Research, Inc. Reproduction Prohibited 18
Data scientists struggle to make insights actionable
Insights for lines of business:
Source: October 16, 2014, “The Customer-Activated Enterprise” Forrester report
© 2015 Forrester Research, Inc. Reproduction Prohibited 19
Enterprise-wide model deployment and monitoring can be a bear›Models must be translated to code that will run within a target application.
›Models call via services introduce latency
›PMML can limit the methods and algorithms use to build the model
›Models don’t usually include or deploy with monitoring code
#Streamline
Models must scale to handle high-volume applications and streaming data.
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toric
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Sec
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Models must access all of the data they need at the time of scoring.
Work seamlessly within complex, heterogenous enterprise environments.
Easily embed models in IoT, mobile, web, and enterprise applications.
“An investment in knowledge
always pays the best interest.”
- Benjamin Franklin
© 2015 Forrester Research, Inc. Reproduction Prohibited 26
Learn Model Detect Adapt
Operationalize models faster to make models actionable.
Predictive Analytics
Streaming Analytics
Descriptive Analytics
(Real-time)Prescriptive
Analytics
(Continuous Batch)
Invest here Invest here Invest here
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Predictive Analytics Reimagined
Introducing RAPIDMINER™
MAXIMIZE OUTCOMES
Operationalize Predictive Results to
Foster Data-Driven Actions Across Your Organization
EMPOWER YOUR TEAM
Create and Deliver on Predictive Projects
Faster than Ever Before
A Modern Platform toDrive Data Science Agility
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The COMPLETE Predictive Analytics Process
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RapidMiner is UNIQUE
Open-Source Innovation
Cutting-edge data science platform designed for
the Big Data era
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Frictionless Operationalization
Prescriptive analyticscloses the loop between
insight & action
Lightning-FastData Science
Seamless orchestration accelerates predictive
analytics lifecycle
Self-Service Predictive Analytics
Effortless & guided design democratizes data science
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Demo – RapidMiner Studio
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FRICTIONLESS Operationalization
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Prescriptive AnalyticsClose the Loop Between
Insight & Action
Scheduled or event-driven model execution supports human decisions &
automated actions
Easily embed predictive insights in data visualizations, enterprise applications &
business processes
Self-learning system to manage models dynamically
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Operationalization Spectrum
Scheduled
Triggered(Near-Real-Time)
Event/Stream(Real-Time)
1 Week
1 Day
1 Hour
10 Min
1 Min
10 Sec
1 Sec
100 MilliSec
10 MilliSec
Decision Time
Level and Cost Of AutomationLow High
Report ApplicationsDatabase, Biz System write backScored/Calculated Data Export
Data Viz/BI bi-directional integrationBiz system updates based on data changesRescoring based on database entriesWeb application interaction
At POS recommendationsFraud Detection
Algorithmic Trading Requires High Speed CEP
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RapidMiner Studio
ModelScoring
RapidMiner Platform - 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 ServerReporting
Data Visualization
Applications
Mobile
IoT
Biz/App/DV integ
RM Web App
IoT
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ModelScoring
RapidMiner Platform - Operationalization
New Data
Scheduling
Admin, Access Rights Mgmt
Application (BI, ERP,CRM…) / Portal
Java SE/EE ApplicationServer Application
Databases / DWHs / OLAP-Cubes
Trigger Execution
RapidMiner Server
ExportPMML
Data Visualization Tools
RapidMiner Web Applications
Operationalization using Web Service/API
Monitoring
Model Management
Collaboration
Biz, Apps. BI/DV
RapidMinerWeb Apps
Web services API
Bi-Directional - data, parameters - models, results
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ModelScoring
RapidMiner Platform - Operationalization
New Data
Application (BI, ERP,CRM…) / Portal
Java SE/EE ApplicationServer Application
Databases / DWHs / OLAP-Cubes
RapidMiner Server
Data Visualization Tools
Operationalization using Web Service/API
Model Management Bi-Directional - data, parameters - models, resultsDeploy
Best Model
Use Recent Data
Run ModelingProcess
Evaluate Models
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Demo - Operationalization
• Advanced Data Preparation, Modeling, and Optimization• Exposing Processes as WebServices• Prescriptive Analytics Application• Model Management
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FARS – Fatality Analysis Reporting System
• 42 fields describing Automobile accidents• Requires decoding and joining• Clean up and preparation for modeling
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Operationalization - Examples• Loan Application Approval• Loan Rate Optimization• Insurance Premium Estimation• Fraudulent Insurance Claim Detection• Project Bidding• Support Call Routing• Preventive Maintenance• Maintenance Scheduling• Marketing Campaign Optimization• …
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#1 Agile Predictive Analytics Platform for Today’s Modern Analysts
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