SlideShare uma empresa Scribd logo
1 de 21
Learn more about Advanced Analytics at http://www.alpinenow.com
Predictive Analytics: A to Z
Learn more about Advanced Analytics at http://www.alpinenow.com
Panelists
Michael Zeller, CEO Zementis
Steven Hillion, CPO Alpine Data Labs
Michael Zeller manages the strategic direction of Zementis. As
Co-Founder of Zementis, his vision is to help companies deepen
and accelerate insights from big data through the power of
predictive analytics. Michael has extensive experience in strategic
implementation of technology, business process improvement and
systems integration.
Steven Hillion has been leading large engineering and analytics
projects for fifteen years. Before joining Alpine Data Labs, he
founded the analytics group at Greenplum, leading a team of data
scientists and also designing and developing new open-source
and enterprise analytics software.
Learn more about Advanced Analytics at http://www.alpinenow.com
Alpine Data Labs
• Advanced Analytic Software Company
– Founded in 2011
– Agile Advanced Analytics, Collaboration and Management at
Enterprise Scale
– Partnerships with EMC, Pivotal, MapR, Cloudera, QlikView and
Tableau
• 50+ employees, based in San Francisco
– Machine Learning, Statistics and Big Data (Stanford, Berkeley,
MIT)
• Growing in excess of 200% YOY with a broad international
customer base
– Financial Services, Online Media, Government, Retail,
Manufacturing…
Alpine Data Labs. Confidential and Proprietary.
Learn more about Advanced Analytics at http://www.alpinenow.com
Alpine Data Labs
• One of 16 in Gartner’s Magic Quadrant,
Advanced Analytics Platforms
– Recognized for “scalability”, “state-of-the-art UI” and “very high levels
of customer satisfaction”.
• Top Big Data Company in CIO Magazine
– “Collaboration, Search, Modeling, Machine Learning under the same
roof. Alpine Data Labs makes Predictive Analytics accessible to all”.
• Other awards include…
– Top 5 Big Data Company (Enterprise Magazine)
– Top 10 Company to Watch in 2014 (Inside Analysis)
– Top Big Data Company in (Sand Hill Business)
– 2014 Top Startup (TiE50)
Alpine Data Labs. Confidential and Proprietary.
Learn more about Advanced Analytics at http://www.alpinenow.com
Predictive Analytics: A to Z
DISPARATEDATAINPUTS COLLABORATEINONEPLACE
Multiplesourcesof input datafrom across
an organization and external web services.
Search, visualize, exploreand createa
common workspacefor your team to
manageyour analyticsprojectsall in one
place.
VISUALANALYTICSWORKFLOW
Dataloading, transformation, feature
generation, model selection, scoringand
performancewith themost advanced
algorithmson themost innovativeplatforms
at scale.
OPERATIONALIZEINPRODUCTION
Dataloading, transformation, feature
generation, model selection, scoringand
performancearedonein ONEenvironment.
Learn more about Advanced Analytics at http://www.alpinenow.com
Advanced Analytics on Big Data
Timeframe of Relevance
Work independently and re-use
data scientist work. Collaborate
across functions and teams.
Iterate quickly.
Scalable Business Analytics
Allowing the Enterprise to
manage “Data as an Asset.”
Scale and guard data practices
Data Science Productivity
Work faster, safer, in a more
open manner. Industry leading
machine learning algorithms
built natively for parallel
processing.
Alpine Data Labs. Confidential and Proprietary.
ALPINE CHORUS 4.0
ENTERPRISE DATA ENVIRONMENT
Data Scientist
Database Analyst
Data Engineer
Business Analyst
Campaign Manager
Sales
Division
Customer
Success
Product Manager
Learn more about Advanced Analytics at http://www.alpinenow.com
Alpine Demo
Learn more about Advanced Analytics at http://www.alpinenow.com
Alpine Demo
Learn more about Advanced Analytics at http://www.alpinenow.com
Alpine Demo
Learn more about Advanced Analytics at http://www.alpinenow.com
Alpine Demo
Learn more about Advanced Analytics at http://www.alpinenow.com
Alpine Demo
Learn more about Advanced Analytics at http://www.alpinenow.com
Copyright 2014 Zementis, Inc. All rights reserved. Confidential
Company: Capabilities:Products:
Software for
operationalizing predictive
analytics for big data, in
both batch and real-time
environments.
• Launched in 2004
• Global customer base
• Deployments across multiple
industries
• Partnerships with software
and analytics industry
leaders
• Offices in USA, Asia
• Vendor-neutral architecture for
- Data mining tools
- Analytics and data
warehouse platforms
• Multi-platform support: Hadoop,
MPP and SQL
• Supports PMML industry
standard
• Flexible deployment: cloud, on-
site
• Separates model development from
deployment
• Supports wide range of predictive
modeling techniques
• Rapidly deploys and executes
predictive models
• Scores data in batch and real-time
modes
• Accelerates business insight
Zementis provides predictive analytics solutions for big data
13
Zementis: Company Snapshot
Copyright 2014 Zementis, Inc. All rights reserved. Confidential
Path to Business Value
14
Predictive analytics helps organizations unlock the value of
their big data …
Big Data
Applications
Cloud
Log Files
RSS Feeds
Other Sources
Predictive Models
Machine Learning
Techniques
Data Mining Tools
Business
Insights
Business
Value
Decisions
&
Actions
• Accelerated time-to-
market
• More precise targeting
• Real-time responsiveness
• Enhanced operational
agility
• Competitive advantage
• Higher revenue growth
rates
• Greater profitability
• More relevant
• More accurate
• More
comprehensive
• More nuanced
• Faster
• Lower risk
• Greater
positive
impact
Predictive
Analytics
Databases
Copyright 2014 Zementis, Inc. All rights reserved. Confidential
Predictive model
deployment becomes a
rework cycle
• Extensive manual
coding
• Cross-checking
• Fixing coding errors
• Delayed insight
• Less accurate
decisions
• Missed opportunities
• Loss of value
Traditional Deployment Cycle
Develop Operationalize Utilize
Data Scientist IT Engineer
Business
Decisions
Business Professional
15
… but model deployment challenges can often erode much
of the value that predictive analytics can deliver
Copyright 2014 Zementis, Inc. All rights reserved. Confidential
Within 2 days *
~ 6 months
Without Zementis
With Zementis
Time-to-insight
EconomicValue
Model Deployment Cycle Time
* And sometimes even within a few hours!
• Accelerated deployment timeline
• Enhanced accuracy
• Minimal rework, if any
Rapid
insight
Rapid
time-to-value
from predictive
analytics
=
Deployment with Zementis
16
Enter Zementis, whose solutions accelerate time-to-insight
for predictive analytics
Copyright 2014 Zementis, Inc. All rights reserved. Confidential
ADAPA & UPPI
• Scoring engine (decision engine) for
predictive analytics
• Supports real-time or batch scoring
• ADAPA functionality packaged as a
plug-in tool for industry-leading
analytics and data warehouse
platforms
• In-database or Hadoop
UPPI
Universal PMML Plug-in
• Scoring engine (decision engine) for
predictive analytics
• Supports real-time or batch scoring
• Available as cloud-based or on-
premise solution
ADAPA
Adaptive Decision And Predictive Analytics
17
Zementis’ 2 solutions offer organizations powerful and flexible
capabilities to accelerate big data insights
Copyright 2014 Zementis, Inc. All rights reserved. Confidential
Data Mining Tools
Predictive Modeling
Techniques
• IBM WebSphere
• RedHat JBoss
• Oracle WebLogic
• SAP HANA
• IBM PureData / Netezza
• Pivotal / EMC Greenplum
• SAP Sybase IQ
• Teradata + Teradata Aster
• Hive
• Cloudera
• Datameer
• Hortonworks
• IBM
Cloud
On-site
• Amazon Web Services
• FICO Analytic Cloud
• Private Cloud
• Supports multiple broad categories
of predictive modeling techniques
• Examples:
- Clustering Models
- Decision Trees
- Neural Network Models
- Naïve Bayes Classifiers
- Random Forest Models
Analytics and
Data Warehouse Platforms
In-database
Hadoop
ADAPA
UPPI
Execute Anywhere
18
Vendor-neutral architecture enables compatibility with
industry-leading analytics and data warehouse platforms
• Compatible with most leading
commercial and open-source data
mining tools
• Examples:
- IBM SPSS
- KNIME
- Python
- R
- SAS
Copyright 2014 Zementis, Inc. All rights reserved. Confidential
Fraud & Risk Management
• Leading financial services conglomerate
• US-based, with global operations
• Diverse portfolio:
- Banking
- Private wealth management
- Consumer finance
- Insurance
• Size:
- Annual revenue > $45 billion
- Annual op. income > $25 billion
• Complex data management environment
• High risk and growing complexity of financial
fraud
• Enormous costs when fraud succeeds
• Small data science team
• Multiple analytics applications
• Scalability constraints (people, processes)
• Accelerated and more holistic risk detection
• Greater interoperability between apps
• Increased predictive accuracy
• Lower risk profile
• More efficient data science
• ADAPA
Decision engine for predictive analytics
• UPPI
Packaged for industry-leading analytics and
data warehouse platforms
Customer Profile
19
Zementis in Action:
Customer Case Study
Challenge
Results
The
Zementis
Solution
Copyright 2014 Zementis, Inc. All rights reserved. Confidential
Broad Applicability
Fraud & Risk Scoring
• Financial institutions
• Scoring bureaus
• Online transaction
processing
• Advanced decision
management
Marketing & Sales
• Up- /cross-sell and next-
best-offer
• Marketing campaign
optimization
• Real-time
recommendations
• Rotating equipment
• Energy
• Biometrics
• IP network security
Sensor & Device Data
Processing
20
ADAPA and UPPI accelerate predictive model insights for
multiple industries and business use cases
Learn more about Advanced Analytics at http://www.alpinenow.com
For more information, contact us
3570 Carmel Mountain Road
Suite 300
San Diego, CA 92130
USA
+1 (619) 330-0780
www.zementis.com
1550 Bryant Street
Suite 1000
San Francisco, CA 94103
USA
+1 (877) 542-0062
www.alpinenow.com

Mais conteúdo relacionado

Mais procurados

Integrating the CDO Role Into Your Organization; Managing the Disruption (MIT...
Integrating the CDO Role Into Your Organization; Managing the Disruption (MIT...Integrating the CDO Role Into Your Organization; Managing the Disruption (MIT...
Integrating the CDO Role Into Your Organization; Managing the Disruption (MIT...Caserta
 
Enterprise Search: Addressing the First Problem of Big Data & Analytics - Sta...
Enterprise Search: Addressing the First Problem of Big Data & Analytics - Sta...Enterprise Search: Addressing the First Problem of Big Data & Analytics - Sta...
Enterprise Search: Addressing the First Problem of Big Data & Analytics - Sta...StampedeCon
 
Making Big Data Easy for Everyone
Making Big Data Easy for EveryoneMaking Big Data Easy for Everyone
Making Big Data Easy for EveryoneCaserta
 
Creating a DevOps Practice for Analytics -- Strata Data, September 28, 2017
Creating a DevOps Practice for Analytics -- Strata Data, September 28, 2017Creating a DevOps Practice for Analytics -- Strata Data, September 28, 2017
Creating a DevOps Practice for Analytics -- Strata Data, September 28, 2017Caserta
 
Agile Leadership: Guiding DataOps Teams Through Rapid Change and Uncertainty
Agile Leadership: Guiding DataOps Teams Through Rapid Change and UncertaintyAgile Leadership: Guiding DataOps Teams Through Rapid Change and Uncertainty
Agile Leadership: Guiding DataOps Teams Through Rapid Change and UncertaintyTamrMarketing
 
Optimize your cloud strategy for machine learning and analytics
Optimize your cloud strategy for machine learning and analyticsOptimize your cloud strategy for machine learning and analytics
Optimize your cloud strategy for machine learning and analyticsCloudera, Inc.
 
Bbbt presentation 210415_final_2
Bbbt presentation 210415_final_2Bbbt presentation 210415_final_2
Bbbt presentation 210415_final_2Roland Bullivant
 
The Emerging Role of the Data Lake
The Emerging Role of the Data LakeThe Emerging Role of the Data Lake
The Emerging Role of the Data LakeCaserta
 
The Data Lake - Balancing Data Governance and Innovation
The Data Lake - Balancing Data Governance and Innovation The Data Lake - Balancing Data Governance and Innovation
The Data Lake - Balancing Data Governance and Innovation Caserta
 
Moving Past Infrastructure Limitations
Moving Past Infrastructure LimitationsMoving Past Infrastructure Limitations
Moving Past Infrastructure LimitationsCaserta
 
Analyzing Billions of Data Rows with Alteryx, Amazon Redshift, and Tableau
Analyzing Billions of Data Rows with Alteryx, Amazon Redshift, and TableauAnalyzing Billions of Data Rows with Alteryx, Amazon Redshift, and Tableau
Analyzing Billions of Data Rows with Alteryx, Amazon Redshift, and TableauDATAVERSITY
 
Getting Started with Big Data for Business Managers
Getting Started with Big Data for Business ManagersGetting Started with Big Data for Business Managers
Getting Started with Big Data for Business ManagersDatameer
 
The Big Data Journey – How Companies Adopt Hadoop - StampedeCon 2016
The Big Data Journey – How Companies Adopt Hadoop - StampedeCon 2016The Big Data Journey – How Companies Adopt Hadoop - StampedeCon 2016
The Big Data Journey – How Companies Adopt Hadoop - StampedeCon 2016StampedeCon
 
Analyzing Unstructured Data in Hadoop Webinar
Analyzing Unstructured Data in Hadoop WebinarAnalyzing Unstructured Data in Hadoop Webinar
Analyzing Unstructured Data in Hadoop WebinarDatameer
 
The Future of Data Management: The Enterprise Data Hub
The Future of Data Management: The Enterprise Data HubThe Future of Data Management: The Enterprise Data Hub
The Future of Data Management: The Enterprise Data HubCloudera, Inc.
 
Using Machine Learning & Spark to Power Data-Driven Marketing
Using Machine Learning & Spark to Power Data-Driven MarketingUsing Machine Learning & Spark to Power Data-Driven Marketing
Using Machine Learning & Spark to Power Data-Driven MarketingCaserta
 
How to Build a Successful Data Team - Florian Douetteau (@Dataiku)
How to Build a Successful Data Team - Florian Douetteau (@Dataiku) How to Build a Successful Data Team - Florian Douetteau (@Dataiku)
How to Build a Successful Data Team - Florian Douetteau (@Dataiku) Dataiku
 
Modernizing Architecture for a Complete Data Strategy
Modernizing Architecture for a Complete Data StrategyModernizing Architecture for a Complete Data Strategy
Modernizing Architecture for a Complete Data StrategyCloudera, Inc.
 
Michael Stonebraker: Big Data, Disruption, and the 800 Pound Gorilla in the ...
Michael Stonebraker:  Big Data, Disruption, and the 800 Pound Gorilla in the ...Michael Stonebraker:  Big Data, Disruption, and the 800 Pound Gorilla in the ...
Michael Stonebraker: Big Data, Disruption, and the 800 Pound Gorilla in the ...TamrMarketing
 
What Data Do You Have and Where is It?
What Data Do You Have and Where is It? What Data Do You Have and Where is It?
What Data Do You Have and Where is It? Caserta
 

Mais procurados (20)

Integrating the CDO Role Into Your Organization; Managing the Disruption (MIT...
Integrating the CDO Role Into Your Organization; Managing the Disruption (MIT...Integrating the CDO Role Into Your Organization; Managing the Disruption (MIT...
Integrating the CDO Role Into Your Organization; Managing the Disruption (MIT...
 
Enterprise Search: Addressing the First Problem of Big Data & Analytics - Sta...
Enterprise Search: Addressing the First Problem of Big Data & Analytics - Sta...Enterprise Search: Addressing the First Problem of Big Data & Analytics - Sta...
Enterprise Search: Addressing the First Problem of Big Data & Analytics - Sta...
 
Making Big Data Easy for Everyone
Making Big Data Easy for EveryoneMaking Big Data Easy for Everyone
Making Big Data Easy for Everyone
 
Creating a DevOps Practice for Analytics -- Strata Data, September 28, 2017
Creating a DevOps Practice for Analytics -- Strata Data, September 28, 2017Creating a DevOps Practice for Analytics -- Strata Data, September 28, 2017
Creating a DevOps Practice for Analytics -- Strata Data, September 28, 2017
 
Agile Leadership: Guiding DataOps Teams Through Rapid Change and Uncertainty
Agile Leadership: Guiding DataOps Teams Through Rapid Change and UncertaintyAgile Leadership: Guiding DataOps Teams Through Rapid Change and Uncertainty
Agile Leadership: Guiding DataOps Teams Through Rapid Change and Uncertainty
 
Optimize your cloud strategy for machine learning and analytics
Optimize your cloud strategy for machine learning and analyticsOptimize your cloud strategy for machine learning and analytics
Optimize your cloud strategy for machine learning and analytics
 
Bbbt presentation 210415_final_2
Bbbt presentation 210415_final_2Bbbt presentation 210415_final_2
Bbbt presentation 210415_final_2
 
The Emerging Role of the Data Lake
The Emerging Role of the Data LakeThe Emerging Role of the Data Lake
The Emerging Role of the Data Lake
 
The Data Lake - Balancing Data Governance and Innovation
The Data Lake - Balancing Data Governance and Innovation The Data Lake - Balancing Data Governance and Innovation
The Data Lake - Balancing Data Governance and Innovation
 
Moving Past Infrastructure Limitations
Moving Past Infrastructure LimitationsMoving Past Infrastructure Limitations
Moving Past Infrastructure Limitations
 
Analyzing Billions of Data Rows with Alteryx, Amazon Redshift, and Tableau
Analyzing Billions of Data Rows with Alteryx, Amazon Redshift, and TableauAnalyzing Billions of Data Rows with Alteryx, Amazon Redshift, and Tableau
Analyzing Billions of Data Rows with Alteryx, Amazon Redshift, and Tableau
 
Getting Started with Big Data for Business Managers
Getting Started with Big Data for Business ManagersGetting Started with Big Data for Business Managers
Getting Started with Big Data for Business Managers
 
The Big Data Journey – How Companies Adopt Hadoop - StampedeCon 2016
The Big Data Journey – How Companies Adopt Hadoop - StampedeCon 2016The Big Data Journey – How Companies Adopt Hadoop - StampedeCon 2016
The Big Data Journey – How Companies Adopt Hadoop - StampedeCon 2016
 
Analyzing Unstructured Data in Hadoop Webinar
Analyzing Unstructured Data in Hadoop WebinarAnalyzing Unstructured Data in Hadoop Webinar
Analyzing Unstructured Data in Hadoop Webinar
 
The Future of Data Management: The Enterprise Data Hub
The Future of Data Management: The Enterprise Data HubThe Future of Data Management: The Enterprise Data Hub
The Future of Data Management: The Enterprise Data Hub
 
Using Machine Learning & Spark to Power Data-Driven Marketing
Using Machine Learning & Spark to Power Data-Driven MarketingUsing Machine Learning & Spark to Power Data-Driven Marketing
Using Machine Learning & Spark to Power Data-Driven Marketing
 
How to Build a Successful Data Team - Florian Douetteau (@Dataiku)
How to Build a Successful Data Team - Florian Douetteau (@Dataiku) How to Build a Successful Data Team - Florian Douetteau (@Dataiku)
How to Build a Successful Data Team - Florian Douetteau (@Dataiku)
 
Modernizing Architecture for a Complete Data Strategy
Modernizing Architecture for a Complete Data StrategyModernizing Architecture for a Complete Data Strategy
Modernizing Architecture for a Complete Data Strategy
 
Michael Stonebraker: Big Data, Disruption, and the 800 Pound Gorilla in the ...
Michael Stonebraker:  Big Data, Disruption, and the 800 Pound Gorilla in the ...Michael Stonebraker:  Big Data, Disruption, and the 800 Pound Gorilla in the ...
Michael Stonebraker: Big Data, Disruption, and the 800 Pound Gorilla in the ...
 
What Data Do You Have and Where is It?
What Data Do You Have and Where is It? What Data Do You Have and Where is It?
What Data Do You Have and Where is It?
 

Destaque

If You Are Not Embedding Analytics Into Your Day To Day Processes, You Are Do...
If You Are Not Embedding Analytics Into Your Day To Day Processes, You Are Do...If You Are Not Embedding Analytics Into Your Day To Day Processes, You Are Do...
If You Are Not Embedding Analytics Into Your Day To Day Processes, You Are Do...Dell World
 
A Short PMML Tutorial by LatentView
A Short PMML Tutorial by LatentViewA Short PMML Tutorial by LatentView
A Short PMML Tutorial by LatentViewramesh.latentview
 
PMML - Predictive Model Markup Language
PMML - Predictive Model Markup LanguagePMML - Predictive Model Markup Language
PMML - Predictive Model Markup Languageaguazzel
 
Operationalizing analytics to scale
Operationalizing analytics to scaleOperationalizing analytics to scale
Operationalizing analytics to scaleLooker
 
Use of standards and related issues in predictive analytics
Use of standards and related issues in predictive analyticsUse of standards and related issues in predictive analytics
Use of standards and related issues in predictive analyticsPaco Nathan
 
Data Workflows for Machine Learning - Seattle DAML
Data Workflows for Machine Learning - Seattle DAMLData Workflows for Machine Learning - Seattle DAML
Data Workflows for Machine Learning - Seattle DAMLPaco Nathan
 

Destaque (6)

If You Are Not Embedding Analytics Into Your Day To Day Processes, You Are Do...
If You Are Not Embedding Analytics Into Your Day To Day Processes, You Are Do...If You Are Not Embedding Analytics Into Your Day To Day Processes, You Are Do...
If You Are Not Embedding Analytics Into Your Day To Day Processes, You Are Do...
 
A Short PMML Tutorial by LatentView
A Short PMML Tutorial by LatentViewA Short PMML Tutorial by LatentView
A Short PMML Tutorial by LatentView
 
PMML - Predictive Model Markup Language
PMML - Predictive Model Markup LanguagePMML - Predictive Model Markup Language
PMML - Predictive Model Markup Language
 
Operationalizing analytics to scale
Operationalizing analytics to scaleOperationalizing analytics to scale
Operationalizing analytics to scale
 
Use of standards and related issues in predictive analytics
Use of standards and related issues in predictive analyticsUse of standards and related issues in predictive analytics
Use of standards and related issues in predictive analytics
 
Data Workflows for Machine Learning - Seattle DAML
Data Workflows for Machine Learning - Seattle DAMLData Workflows for Machine Learning - Seattle DAML
Data Workflows for Machine Learning - Seattle DAML
 

Semelhante a Predictive analytics from a to z

BAR360 open data platform presentation at DAMA, Sydney
BAR360 open data platform presentation at DAMA, SydneyBAR360 open data platform presentation at DAMA, Sydney
BAR360 open data platform presentation at DAMA, SydneySai Paravastu
 
Increase your ROI with Hadoop in Six Months - Presented by Dell, Cloudera and...
Increase your ROI with Hadoop in Six Months - Presented by Dell, Cloudera and...Increase your ROI with Hadoop in Six Months - Presented by Dell, Cloudera and...
Increase your ROI with Hadoop in Six Months - Presented by Dell, Cloudera and...Cloudera, Inc.
 
The Journey to Success with Big Data
The Journey to Success with Big DataThe Journey to Success with Big Data
The Journey to Success with Big DataCloudera, Inc.
 
Standing Up an Effective Enterprise Data Hub -- Technology and Beyond
Standing Up an Effective Enterprise Data Hub -- Technology and BeyondStanding Up an Effective Enterprise Data Hub -- Technology and Beyond
Standing Up an Effective Enterprise Data Hub -- Technology and BeyondCloudera, Inc.
 
Capgemini Leap Data Transformation Framework with Cloudera
Capgemini Leap Data Transformation Framework with ClouderaCapgemini Leap Data Transformation Framework with Cloudera
Capgemini Leap Data Transformation Framework with ClouderaCapgemini
 
Keyrus US Information
Keyrus US InformationKeyrus US Information
Keyrus US InformationJulian Tong
 
Keynote - Cloudera - Mike Olson - Hadoop World 2010
Keynote - Cloudera - Mike Olson - Hadoop World 2010Keynote - Cloudera - Mike Olson - Hadoop World 2010
Keynote - Cloudera - Mike Olson - Hadoop World 2010Cloudera, Inc.
 
Cloudera - Mike Olson - Hadoop World 2010
Cloudera - Mike Olson - Hadoop World 2010Cloudera - Mike Olson - Hadoop World 2010
Cloudera - Mike Olson - Hadoop World 2010Cloudera, Inc.
 
An AI Maturity Roadmap for Becoming a Data-Driven Organization
An AI Maturity Roadmap for Becoming a Data-Driven OrganizationAn AI Maturity Roadmap for Becoming a Data-Driven Organization
An AI Maturity Roadmap for Becoming a Data-Driven OrganizationDavid Solomon
 
Disrupting Insurance with Advanced Analytics The Next Generation Carrier
Disrupting Insurance with Advanced Analytics The Next Generation CarrierDisrupting Insurance with Advanced Analytics The Next Generation Carrier
Disrupting Insurance with Advanced Analytics The Next Generation CarrierDataWorks Summit/Hadoop Summit
 
Gab Genai Cloudera - Going Beyond Traditional Analytic
Gab Genai Cloudera - Going Beyond Traditional Analytic Gab Genai Cloudera - Going Beyond Traditional Analytic
Gab Genai Cloudera - Going Beyond Traditional Analytic IntelAPAC
 
What makes an effective data team?
What makes an effective data team?What makes an effective data team?
What makes an effective data team?Snowplow Analytics
 
Analytics in a Day Virtual Workshop
Analytics in a Day Virtual WorkshopAnalytics in a Day Virtual Workshop
Analytics in a Day Virtual WorkshopCCG
 
Too much data and not enough analytics!
Too much data and not enough analytics!Too much data and not enough analytics!
Too much data and not enough analytics!Emma Kelly
 
CSC - Presentation at Hortonworks Booth - Strata 2014
CSC - Presentation at Hortonworks Booth - Strata 2014CSC - Presentation at Hortonworks Booth - Strata 2014
CSC - Presentation at Hortonworks Booth - Strata 2014Hortonworks
 
Why Everything You Know About bigdata Is A Lie
Why Everything You Know About bigdata Is A LieWhy Everything You Know About bigdata Is A Lie
Why Everything You Know About bigdata Is A LieSunil Ranka
 
Building a Modern Analytic Database with Cloudera 5.8
Building a Modern Analytic Database with Cloudera 5.8Building a Modern Analytic Database with Cloudera 5.8
Building a Modern Analytic Database with Cloudera 5.8Cloudera, Inc.
 

Semelhante a Predictive analytics from a to z (20)

BAR360 open data platform presentation at DAMA, Sydney
BAR360 open data platform presentation at DAMA, SydneyBAR360 open data platform presentation at DAMA, Sydney
BAR360 open data platform presentation at DAMA, Sydney
 
Increase your ROI with Hadoop in Six Months - Presented by Dell, Cloudera and...
Increase your ROI with Hadoop in Six Months - Presented by Dell, Cloudera and...Increase your ROI with Hadoop in Six Months - Presented by Dell, Cloudera and...
Increase your ROI with Hadoop in Six Months - Presented by Dell, Cloudera and...
 
The Journey to Success with Big Data
The Journey to Success with Big DataThe Journey to Success with Big Data
The Journey to Success with Big Data
 
How Businesses use Big Data to Impact the Bottom Line
How Businesses use Big Data to Impact the Bottom LineHow Businesses use Big Data to Impact the Bottom Line
How Businesses use Big Data to Impact the Bottom Line
 
Standing Up an Effective Enterprise Data Hub -- Technology and Beyond
Standing Up an Effective Enterprise Data Hub -- Technology and BeyondStanding Up an Effective Enterprise Data Hub -- Technology and Beyond
Standing Up an Effective Enterprise Data Hub -- Technology and Beyond
 
Capgemini Leap Data Transformation Framework with Cloudera
Capgemini Leap Data Transformation Framework with ClouderaCapgemini Leap Data Transformation Framework with Cloudera
Capgemini Leap Data Transformation Framework with Cloudera
 
Keyrus US Information
Keyrus US InformationKeyrus US Information
Keyrus US Information
 
Keyrus US Information
Keyrus US InformationKeyrus US Information
Keyrus US Information
 
Keynote - Cloudera - Mike Olson - Hadoop World 2010
Keynote - Cloudera - Mike Olson - Hadoop World 2010Keynote - Cloudera - Mike Olson - Hadoop World 2010
Keynote - Cloudera - Mike Olson - Hadoop World 2010
 
Cloudera - Mike Olson - Hadoop World 2010
Cloudera - Mike Olson - Hadoop World 2010Cloudera - Mike Olson - Hadoop World 2010
Cloudera - Mike Olson - Hadoop World 2010
 
06 summary
06 summary06 summary
06 summary
 
An AI Maturity Roadmap for Becoming a Data-Driven Organization
An AI Maturity Roadmap for Becoming a Data-Driven OrganizationAn AI Maturity Roadmap for Becoming a Data-Driven Organization
An AI Maturity Roadmap for Becoming a Data-Driven Organization
 
Disrupting Insurance with Advanced Analytics The Next Generation Carrier
Disrupting Insurance with Advanced Analytics The Next Generation CarrierDisrupting Insurance with Advanced Analytics The Next Generation Carrier
Disrupting Insurance with Advanced Analytics The Next Generation Carrier
 
Gab Genai Cloudera - Going Beyond Traditional Analytic
Gab Genai Cloudera - Going Beyond Traditional Analytic Gab Genai Cloudera - Going Beyond Traditional Analytic
Gab Genai Cloudera - Going Beyond Traditional Analytic
 
What makes an effective data team?
What makes an effective data team?What makes an effective data team?
What makes an effective data team?
 
Analytics in a Day Virtual Workshop
Analytics in a Day Virtual WorkshopAnalytics in a Day Virtual Workshop
Analytics in a Day Virtual Workshop
 
Too much data and not enough analytics!
Too much data and not enough analytics!Too much data and not enough analytics!
Too much data and not enough analytics!
 
CSC - Presentation at Hortonworks Booth - Strata 2014
CSC - Presentation at Hortonworks Booth - Strata 2014CSC - Presentation at Hortonworks Booth - Strata 2014
CSC - Presentation at Hortonworks Booth - Strata 2014
 
Why Everything You Know About bigdata Is A Lie
Why Everything You Know About bigdata Is A LieWhy Everything You Know About bigdata Is A Lie
Why Everything You Know About bigdata Is A Lie
 
Building a Modern Analytic Database with Cloudera 5.8
Building a Modern Analytic Database with Cloudera 5.8Building a Modern Analytic Database with Cloudera 5.8
Building a Modern Analytic Database with Cloudera 5.8
 

Mais de alpinedatalabs

Integrating R and the JVM Platform - Alpine Data Labs' R Execute Operator
Integrating R and the JVM Platform - Alpine Data Labs' R Execute OperatorIntegrating R and the JVM Platform - Alpine Data Labs' R Execute Operator
Integrating R and the JVM Platform - Alpine Data Labs' R Execute Operatoralpinedatalabs
 
Alpine innovation final v1.0
Alpine innovation final v1.0Alpine innovation final v1.0
Alpine innovation final v1.0alpinedatalabs
 
Alpine Spark Implementation - Technical
Alpine Spark Implementation - TechnicalAlpine Spark Implementation - Technical
Alpine Spark Implementation - Technicalalpinedatalabs
 
Don't Gamble With Your Data
Don't Gamble With Your DataDon't Gamble With Your Data
Don't Gamble With Your Dataalpinedatalabs
 
Steven Hillion Presents, "Why Women are Better Data Scientists."
Steven Hillion Presents, "Why Women are Better Data Scientists."Steven Hillion Presents, "Why Women are Better Data Scientists."
Steven Hillion Presents, "Why Women are Better Data Scientists."alpinedatalabs
 
Strata Big Data Camp 2013
Strata Big Data Camp 2013Strata Big Data Camp 2013
Strata Big Data Camp 2013alpinedatalabs
 

Mais de alpinedatalabs (6)

Integrating R and the JVM Platform - Alpine Data Labs' R Execute Operator
Integrating R and the JVM Platform - Alpine Data Labs' R Execute OperatorIntegrating R and the JVM Platform - Alpine Data Labs' R Execute Operator
Integrating R and the JVM Platform - Alpine Data Labs' R Execute Operator
 
Alpine innovation final v1.0
Alpine innovation final v1.0Alpine innovation final v1.0
Alpine innovation final v1.0
 
Alpine Spark Implementation - Technical
Alpine Spark Implementation - TechnicalAlpine Spark Implementation - Technical
Alpine Spark Implementation - Technical
 
Don't Gamble With Your Data
Don't Gamble With Your DataDon't Gamble With Your Data
Don't Gamble With Your Data
 
Steven Hillion Presents, "Why Women are Better Data Scientists."
Steven Hillion Presents, "Why Women are Better Data Scientists."Steven Hillion Presents, "Why Women are Better Data Scientists."
Steven Hillion Presents, "Why Women are Better Data Scientists."
 
Strata Big Data Camp 2013
Strata Big Data Camp 2013Strata Big Data Camp 2013
Strata Big Data Camp 2013
 

Último

Manulife - Insurer Innovation Award 2024
Manulife - Insurer Innovation Award 2024Manulife - Insurer Innovation Award 2024
Manulife - Insurer Innovation Award 2024The Digital Insurer
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FMESafe Software
 
presentation ICT roal in 21st century education
presentation ICT roal in 21st century educationpresentation ICT roal in 21st century education
presentation ICT roal in 21st century educationjfdjdjcjdnsjd
 
Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...apidays
 
Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024The Digital Insurer
 
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost SavingRepurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost SavingEdi Saputra
 
Deploy with confidence: VMware Cloud Foundation 5.1 on next gen Dell PowerEdg...
Deploy with confidence: VMware Cloud Foundation 5.1 on next gen Dell PowerEdg...Deploy with confidence: VMware Cloud Foundation 5.1 on next gen Dell PowerEdg...
Deploy with confidence: VMware Cloud Foundation 5.1 on next gen Dell PowerEdg...Principled Technologies
 
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)Gabriella Davis
 
Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)wesley chun
 
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc
 
Top 10 Most Downloaded Games on Play Store in 2024
Top 10 Most Downloaded Games on Play Store in 2024Top 10 Most Downloaded Games on Play Store in 2024
Top 10 Most Downloaded Games on Play Store in 2024SynarionITSolutions
 
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data DiscoveryTrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data DiscoveryTrustArc
 
Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024The Digital Insurer
 
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024The Digital Insurer
 
The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024Rafal Los
 
MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024MIND CTI
 
Understanding Discord NSFW Servers A Guide for Responsible Users.pdf
Understanding Discord NSFW Servers A Guide for Responsible Users.pdfUnderstanding Discord NSFW Servers A Guide for Responsible Users.pdf
Understanding Discord NSFW Servers A Guide for Responsible Users.pdfUK Journal
 
Artificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsArtificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsJoaquim Jorge
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerThousandEyes
 

Último (20)

Manulife - Insurer Innovation Award 2024
Manulife - Insurer Innovation Award 2024Manulife - Insurer Innovation Award 2024
Manulife - Insurer Innovation Award 2024
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
 
presentation ICT roal in 21st century education
presentation ICT roal in 21st century educationpresentation ICT roal in 21st century education
presentation ICT roal in 21st century education
 
Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...
 
Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024
 
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost SavingRepurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
 
Deploy with confidence: VMware Cloud Foundation 5.1 on next gen Dell PowerEdg...
Deploy with confidence: VMware Cloud Foundation 5.1 on next gen Dell PowerEdg...Deploy with confidence: VMware Cloud Foundation 5.1 on next gen Dell PowerEdg...
Deploy with confidence: VMware Cloud Foundation 5.1 on next gen Dell PowerEdg...
 
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)
 
Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)
 
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
 
Top 10 Most Downloaded Games on Play Store in 2024
Top 10 Most Downloaded Games on Play Store in 2024Top 10 Most Downloaded Games on Play Store in 2024
Top 10 Most Downloaded Games on Play Store in 2024
 
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data DiscoveryTrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
 
Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024
 
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
 
The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024
 
MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024
 
Understanding Discord NSFW Servers A Guide for Responsible Users.pdf
Understanding Discord NSFW Servers A Guide for Responsible Users.pdfUnderstanding Discord NSFW Servers A Guide for Responsible Users.pdf
Understanding Discord NSFW Servers A Guide for Responsible Users.pdf
 
Artificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsArtificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and Myths
 
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
 

Predictive analytics from a to z

  • 1. Learn more about Advanced Analytics at http://www.alpinenow.com Predictive Analytics: A to Z
  • 2. Learn more about Advanced Analytics at http://www.alpinenow.com Panelists Michael Zeller, CEO Zementis Steven Hillion, CPO Alpine Data Labs Michael Zeller manages the strategic direction of Zementis. As Co-Founder of Zementis, his vision is to help companies deepen and accelerate insights from big data through the power of predictive analytics. Michael has extensive experience in strategic implementation of technology, business process improvement and systems integration. Steven Hillion has been leading large engineering and analytics projects for fifteen years. Before joining Alpine Data Labs, he founded the analytics group at Greenplum, leading a team of data scientists and also designing and developing new open-source and enterprise analytics software.
  • 3. Learn more about Advanced Analytics at http://www.alpinenow.com Alpine Data Labs • Advanced Analytic Software Company – Founded in 2011 – Agile Advanced Analytics, Collaboration and Management at Enterprise Scale – Partnerships with EMC, Pivotal, MapR, Cloudera, QlikView and Tableau • 50+ employees, based in San Francisco – Machine Learning, Statistics and Big Data (Stanford, Berkeley, MIT) • Growing in excess of 200% YOY with a broad international customer base – Financial Services, Online Media, Government, Retail, Manufacturing… Alpine Data Labs. Confidential and Proprietary.
  • 4. Learn more about Advanced Analytics at http://www.alpinenow.com Alpine Data Labs • One of 16 in Gartner’s Magic Quadrant, Advanced Analytics Platforms – Recognized for “scalability”, “state-of-the-art UI” and “very high levels of customer satisfaction”. • Top Big Data Company in CIO Magazine – “Collaboration, Search, Modeling, Machine Learning under the same roof. Alpine Data Labs makes Predictive Analytics accessible to all”. • Other awards include… – Top 5 Big Data Company (Enterprise Magazine) – Top 10 Company to Watch in 2014 (Inside Analysis) – Top Big Data Company in (Sand Hill Business) – 2014 Top Startup (TiE50) Alpine Data Labs. Confidential and Proprietary.
  • 5. Learn more about Advanced Analytics at http://www.alpinenow.com Predictive Analytics: A to Z DISPARATEDATAINPUTS COLLABORATEINONEPLACE Multiplesourcesof input datafrom across an organization and external web services. Search, visualize, exploreand createa common workspacefor your team to manageyour analyticsprojectsall in one place. VISUALANALYTICSWORKFLOW Dataloading, transformation, feature generation, model selection, scoringand performancewith themost advanced algorithmson themost innovativeplatforms at scale. OPERATIONALIZEINPRODUCTION Dataloading, transformation, feature generation, model selection, scoringand performancearedonein ONEenvironment.
  • 6. Learn more about Advanced Analytics at http://www.alpinenow.com Advanced Analytics on Big Data Timeframe of Relevance Work independently and re-use data scientist work. Collaborate across functions and teams. Iterate quickly. Scalable Business Analytics Allowing the Enterprise to manage “Data as an Asset.” Scale and guard data practices Data Science Productivity Work faster, safer, in a more open manner. Industry leading machine learning algorithms built natively for parallel processing. Alpine Data Labs. Confidential and Proprietary. ALPINE CHORUS 4.0 ENTERPRISE DATA ENVIRONMENT Data Scientist Database Analyst Data Engineer Business Analyst Campaign Manager Sales Division Customer Success Product Manager
  • 7. Learn more about Advanced Analytics at http://www.alpinenow.com Alpine Demo
  • 8. Learn more about Advanced Analytics at http://www.alpinenow.com Alpine Demo
  • 9. Learn more about Advanced Analytics at http://www.alpinenow.com Alpine Demo
  • 10. Learn more about Advanced Analytics at http://www.alpinenow.com Alpine Demo
  • 11. Learn more about Advanced Analytics at http://www.alpinenow.com Alpine Demo
  • 12. Learn more about Advanced Analytics at http://www.alpinenow.com
  • 13. Copyright 2014 Zementis, Inc. All rights reserved. Confidential Company: Capabilities:Products: Software for operationalizing predictive analytics for big data, in both batch and real-time environments. • Launched in 2004 • Global customer base • Deployments across multiple industries • Partnerships with software and analytics industry leaders • Offices in USA, Asia • Vendor-neutral architecture for - Data mining tools - Analytics and data warehouse platforms • Multi-platform support: Hadoop, MPP and SQL • Supports PMML industry standard • Flexible deployment: cloud, on- site • Separates model development from deployment • Supports wide range of predictive modeling techniques • Rapidly deploys and executes predictive models • Scores data in batch and real-time modes • Accelerates business insight Zementis provides predictive analytics solutions for big data 13 Zementis: Company Snapshot
  • 14. Copyright 2014 Zementis, Inc. All rights reserved. Confidential Path to Business Value 14 Predictive analytics helps organizations unlock the value of their big data … Big Data Applications Cloud Log Files RSS Feeds Other Sources Predictive Models Machine Learning Techniques Data Mining Tools Business Insights Business Value Decisions & Actions • Accelerated time-to- market • More precise targeting • Real-time responsiveness • Enhanced operational agility • Competitive advantage • Higher revenue growth rates • Greater profitability • More relevant • More accurate • More comprehensive • More nuanced • Faster • Lower risk • Greater positive impact Predictive Analytics Databases
  • 15. Copyright 2014 Zementis, Inc. All rights reserved. Confidential Predictive model deployment becomes a rework cycle • Extensive manual coding • Cross-checking • Fixing coding errors • Delayed insight • Less accurate decisions • Missed opportunities • Loss of value Traditional Deployment Cycle Develop Operationalize Utilize Data Scientist IT Engineer Business Decisions Business Professional 15 … but model deployment challenges can often erode much of the value that predictive analytics can deliver
  • 16. Copyright 2014 Zementis, Inc. All rights reserved. Confidential Within 2 days * ~ 6 months Without Zementis With Zementis Time-to-insight EconomicValue Model Deployment Cycle Time * And sometimes even within a few hours! • Accelerated deployment timeline • Enhanced accuracy • Minimal rework, if any Rapid insight Rapid time-to-value from predictive analytics = Deployment with Zementis 16 Enter Zementis, whose solutions accelerate time-to-insight for predictive analytics
  • 17. Copyright 2014 Zementis, Inc. All rights reserved. Confidential ADAPA & UPPI • Scoring engine (decision engine) for predictive analytics • Supports real-time or batch scoring • ADAPA functionality packaged as a plug-in tool for industry-leading analytics and data warehouse platforms • In-database or Hadoop UPPI Universal PMML Plug-in • Scoring engine (decision engine) for predictive analytics • Supports real-time or batch scoring • Available as cloud-based or on- premise solution ADAPA Adaptive Decision And Predictive Analytics 17 Zementis’ 2 solutions offer organizations powerful and flexible capabilities to accelerate big data insights
  • 18. Copyright 2014 Zementis, Inc. All rights reserved. Confidential Data Mining Tools Predictive Modeling Techniques • IBM WebSphere • RedHat JBoss • Oracle WebLogic • SAP HANA • IBM PureData / Netezza • Pivotal / EMC Greenplum • SAP Sybase IQ • Teradata + Teradata Aster • Hive • Cloudera • Datameer • Hortonworks • IBM Cloud On-site • Amazon Web Services • FICO Analytic Cloud • Private Cloud • Supports multiple broad categories of predictive modeling techniques • Examples: - Clustering Models - Decision Trees - Neural Network Models - Naïve Bayes Classifiers - Random Forest Models Analytics and Data Warehouse Platforms In-database Hadoop ADAPA UPPI Execute Anywhere 18 Vendor-neutral architecture enables compatibility with industry-leading analytics and data warehouse platforms • Compatible with most leading commercial and open-source data mining tools • Examples: - IBM SPSS - KNIME - Python - R - SAS
  • 19. Copyright 2014 Zementis, Inc. All rights reserved. Confidential Fraud & Risk Management • Leading financial services conglomerate • US-based, with global operations • Diverse portfolio: - Banking - Private wealth management - Consumer finance - Insurance • Size: - Annual revenue > $45 billion - Annual op. income > $25 billion • Complex data management environment • High risk and growing complexity of financial fraud • Enormous costs when fraud succeeds • Small data science team • Multiple analytics applications • Scalability constraints (people, processes) • Accelerated and more holistic risk detection • Greater interoperability between apps • Increased predictive accuracy • Lower risk profile • More efficient data science • ADAPA Decision engine for predictive analytics • UPPI Packaged for industry-leading analytics and data warehouse platforms Customer Profile 19 Zementis in Action: Customer Case Study Challenge Results The Zementis Solution
  • 20. Copyright 2014 Zementis, Inc. All rights reserved. Confidential Broad Applicability Fraud & Risk Scoring • Financial institutions • Scoring bureaus • Online transaction processing • Advanced decision management Marketing & Sales • Up- /cross-sell and next- best-offer • Marketing campaign optimization • Real-time recommendations • Rotating equipment • Energy • Biometrics • IP network security Sensor & Device Data Processing 20 ADAPA and UPPI accelerate predictive model insights for multiple industries and business use cases
  • 21. Learn more about Advanced Analytics at http://www.alpinenow.com For more information, contact us 3570 Carmel Mountain Road Suite 300 San Diego, CA 92130 USA +1 (619) 330-0780 www.zementis.com 1550 Bryant Street Suite 1000 San Francisco, CA 94103 USA +1 (877) 542-0062 www.alpinenow.com