SlideShare uma empresa Scribd logo
1 de 39
Baixar para ler offline
Internal Data
First
Vishwa Kolla
Head of Advanced Analytics
John Hancock Insurance
Technology
(Programming)
Analytics
(Math, Stats)
Business
 Advanced
Analytics CoE,
Maturity Model
 Customer Analytics
(entire value chain)
 Machine Learning
 Scoring Engine
 Optimization
 Simulations
 Forecasting & Time
Series
• 16+ Years
• John Hancock Insurance
• Deloitte Consulting (Industries – Insurance,
Retail, Financial, Technology, Telecom,
Healthcare, Data)
• IBM
• Sun Microsystems
Expertise
Experience
Vishwa Kolla
Head of Advanced Analytics
John Hancock Insurance, Boston
MBA Carnegie Mellon University
MS University of Denver
BS BITS Pilani, India
(Existing) Customer Centricity is …
o Good
o Bad
o Both
o None
On Customer Centricity Journey my firm …
o talks best practices
o implements best practices
o understands best practices
o thinks best practices
To further Customer Centricity Data is …
o is the most important
ingredient
o is one of several ingredients
Internal Data contribution to data gold …
o 00-25%
o 25-50%
o 50-75%
o 75-100%
So
What?
Case In Point Now What?
Value from Internal Data is … well, HUGE
~$820 B
Value of
Customer Data +
Algorithms
$1.2 T
Market Cap
(11/30/2016)
$120 B
Debt
(11/30/2016)
$178 B
Brand Value
(05/2016)
Source: http://www.forbes.com/powerful-brands/list/2/#tab:rank
Embracing Data helps with Top & Bottom lines
2001 – 2013 CAGR Revenue
(Firm | Industry)
Source: 2001 – 2013 Revenue figures from Capital IQ
3%
3%
3%
1%
5%
7%
7%
8%
10%
12%
Data is the new oil …
Source: http://www.ibmbigdatahub.com/infographic/four-vs-big-data
11
… and Analytics is the new combustion engine
Descriptive
Predictive
Prescriptive
Nudge
Cognitive
Experimental
What
Happened?
What
Will Happen?
What
Action?
What
Outcome?
How does
a Human do?
What should
I expect?
The promise is real
13
Classification
14
Recognition
15
Recommendation
16
Assistance
17
Relevance
18
Convenience
19
Automation
So What?
Case
In
Point?
Now What?
Prospect Acquire Nurture
22
Analytics Stack at Hancock
Systems
Infrastructure
Software
Infrastructure
SQL Server SAS Server R Server RDP Server App Server Hadoop
Data
Infrastructure
Accelerators
Match Merge Profiling Segmentation Exploration Modeling
Productivity
Tools
Innovation
Rules Engine Scoring Engine Visualization Frameworks Presentation
Templates
OCR Engine
Dynamic eApp Web Scraping Middleware
Web Apps
Understanding the WHO is the first step …
Insurance Investments Retirements
Look-alike Models are the next step
>
Source: Krux.com
The new target population is very different
Internal data alone is not enough
27
Internal data helps improve operations
Decline
Standard or
Better
28
Internal data enables customer-centricity
Decision
Acquired
Scheduled
UnderwriterApplicant Part I
Typically
3-6 weeks
Process
Bottle
neck
Traditional Process
End to End Turn Around Time = Hours to 3 - 6 weeks
Consent
Proxy for Cholesterol,
Glucose, Nicotine
Likely to misrepresent
Adjustment for Height
and Weight
Other issues found
after roll out
Encourages healthy
people to apply
https://www.youtube.com/watch?feature=player_embedded&v=XswX1TSQwfQ
Earn points for
Vitality Health
Review
46
43
Save 50% on
luxury hotel stay
Earn points for
biometrics from
underwriting
Earn points for
going
to the gym
Earn points and
save $$ buying
HealthyFood
Earn points for
healthy
activities
Bob receives
his free Fitbit
Bob receives
his Welcome
Kit
Bob receives
his policy
Age
Age
Internal data helps nurture the relationship
31
Internal Data Helps Understand the Customer
7. Rewards:
• Most Common Redemptions:
• Nutrisavings
• Amazon Gift cards
• Starbucks
6. Activity:
• Most Common Activities:
• Physical Activity
• Prevention
• Education
1. Sales Force:
• 2016 Campaigns Executed: #
• 2016 New Leads: #
• 2016 Vitality Apps: #
2. Application:
• 2016 Applications: #
(Vitality #)
4. Premiums
• Median Annual Premium: #
(Vitality #)
5. Engagement:
• # Fitbit redemption
• # Linked Fitbit
3. Approval:
• 2016 New Policyholders: #
(Vitality #)
So What? Case In Point?
Now
What?
Become internal data rich first
Then enhance w/ external data
Image Source: http://www.janrain.com/resources/webinars/eureka-7-ways-to-mine-the-hidden-gold-in-your-customer-data/
(Existing) Customer Centricity is …
o Good
o Bad
o Both
o None
On Customer Centricity Journey my firm …
o talks best practices
o implements best practices
o understands best practices
o thinks best practices
To further Customer Centricity Data is …
o is the most important
ingredient
o is one of several ingredients
Internal Data contribution to data gold …
o 00-25%
o 25-50%
o 50-75%
o 75-100%
39

Mais conteúdo relacionado

Mais procurados

Decision Intelligence: a new discipline emerges
Decision Intelligence: a new discipline emergesDecision Intelligence: a new discipline emerges
Decision Intelligence: a new discipline emergesLorien Pratt
 
Insights from Data: Overcoming Objections
Insights from Data: Overcoming ObjectionsInsights from Data: Overcoming Objections
Insights from Data: Overcoming ObjectionsGramener
 
What is Data Science and How to Succeed in it
What is Data Science and How to Succeed in itWhat is Data Science and How to Succeed in it
What is Data Science and How to Succeed in itKhosrow Hassibi
 
World Economic Forum: The power of analytics for better and faster decisions ...
World Economic Forum: The power of analytics for better and faster decisions ...World Economic Forum: The power of analytics for better and faster decisions ...
World Economic Forum: The power of analytics for better and faster decisions ...PwC
 
BDW16 London - Amjad Zaim, Cognitro Analytics: How Deep is Your Learning
BDW16 London - Amjad Zaim, Cognitro Analytics: How Deep is Your Learning BDW16 London - Amjad Zaim, Cognitro Analytics: How Deep is Your Learning
BDW16 London - Amjad Zaim, Cognitro Analytics: How Deep is Your Learning Big Data Week
 
Report Presentation (Dana Minbaeva) - The Use and Usefulness of Employee Enga...
Report Presentation (Dana Minbaeva) - The Use and Usefulness of Employee Enga...Report Presentation (Dana Minbaeva) - The Use and Usefulness of Employee Enga...
Report Presentation (Dana Minbaeva) - The Use and Usefulness of Employee Enga...CBS Competitiveness Platform
 
Living in a data economy: Transforming the role of HR
Living in a data economy: Transforming the role of HRLiving in a data economy: Transforming the role of HR
Living in a data economy: Transforming the role of HRMartin Sutherland
 
HR in the Data Economy
HR in the Data EconomyHR in the Data Economy
HR in the Data EconomyKim Garner
 
Pwc data analytics
Pwc data analyticsPwc data analytics
Pwc data analyticsPip Barton
 
Mgi the-age-of-analytics-full-report
Mgi the-age-of-analytics-full-reportMgi the-age-of-analytics-full-report
Mgi the-age-of-analytics-full-reportPip Barton
 
Data is love data viz best practices
Data is love   data viz best practicesData is love   data viz best practices
Data is love data viz best practicesGregory Nelson
 
The People Analytics Revolution
The People Analytics RevolutionThe People Analytics Revolution
The People Analytics RevolutionTom Stroud
 
Augmented Intelligence for EmTech May 2016 (Anand-final-Without Video) Presen...
Augmented Intelligence for EmTech May 2016 (Anand-final-Without Video) Presen...Augmented Intelligence for EmTech May 2016 (Anand-final-Without Video) Presen...
Augmented Intelligence for EmTech May 2016 (Anand-final-Without Video) Presen...Anand Rao
 
Jessica Collins: Engaging Stakeholders and Adoption for People Analytics Success
Jessica Collins: Engaging Stakeholders and Adoption for People Analytics SuccessJessica Collins: Engaging Stakeholders and Adoption for People Analytics Success
Jessica Collins: Engaging Stakeholders and Adoption for People Analytics SuccessEdunomica
 
Data monetization
Data monetizationData monetization
Data monetizationGramener
 
Decision Intelligence: How AI and DI (and YOU) are Evolving to the Next Level
Decision Intelligence: How AI and DI (and YOU) are Evolving to the Next LevelDecision Intelligence: How AI and DI (and YOU) are Evolving to the Next Level
Decision Intelligence: How AI and DI (and YOU) are Evolving to the Next LevelLorien Pratt
 
Business Analytics
Business AnalyticsBusiness Analytics
Business AnalyticsMeganShaw38
 

Mais procurados (20)

Decision Intelligence: a new discipline emerges
Decision Intelligence: a new discipline emergesDecision Intelligence: a new discipline emerges
Decision Intelligence: a new discipline emerges
 
Insights from Data: Overcoming Objections
Insights from Data: Overcoming ObjectionsInsights from Data: Overcoming Objections
Insights from Data: Overcoming Objections
 
What is Data Science and How to Succeed in it
What is Data Science and How to Succeed in itWhat is Data Science and How to Succeed in it
What is Data Science and How to Succeed in it
 
The Future of Information - Experian Knows Big Data Analytics
The Future of Information - Experian Knows Big Data AnalyticsThe Future of Information - Experian Knows Big Data Analytics
The Future of Information - Experian Knows Big Data Analytics
 
World Economic Forum: The power of analytics for better and faster decisions ...
World Economic Forum: The power of analytics for better and faster decisions ...World Economic Forum: The power of analytics for better and faster decisions ...
World Economic Forum: The power of analytics for better and faster decisions ...
 
BDW16 London - Amjad Zaim, Cognitro Analytics: How Deep is Your Learning
BDW16 London - Amjad Zaim, Cognitro Analytics: How Deep is Your Learning BDW16 London - Amjad Zaim, Cognitro Analytics: How Deep is Your Learning
BDW16 London - Amjad Zaim, Cognitro Analytics: How Deep is Your Learning
 
Report Presentation (Dana Minbaeva) - The Use and Usefulness of Employee Enga...
Report Presentation (Dana Minbaeva) - The Use and Usefulness of Employee Enga...Report Presentation (Dana Minbaeva) - The Use and Usefulness of Employee Enga...
Report Presentation (Dana Minbaeva) - The Use and Usefulness of Employee Enga...
 
Living in a data economy: Transforming the role of HR
Living in a data economy: Transforming the role of HRLiving in a data economy: Transforming the role of HR
Living in a data economy: Transforming the role of HR
 
HR in the Data Economy
HR in the Data EconomyHR in the Data Economy
HR in the Data Economy
 
Pwc data analytics
Pwc data analyticsPwc data analytics
Pwc data analytics
 
Mgi the-age-of-analytics-full-report
Mgi the-age-of-analytics-full-reportMgi the-age-of-analytics-full-report
Mgi the-age-of-analytics-full-report
 
Data is love data viz best practices
Data is love   data viz best practicesData is love   data viz best practices
Data is love data viz best practices
 
People Analytics
People AnalyticsPeople Analytics
People Analytics
 
The People Analytics Revolution
The People Analytics RevolutionThe People Analytics Revolution
The People Analytics Revolution
 
Augmented Intelligence for EmTech May 2016 (Anand-final-Without Video) Presen...
Augmented Intelligence for EmTech May 2016 (Anand-final-Without Video) Presen...Augmented Intelligence for EmTech May 2016 (Anand-final-Without Video) Presen...
Augmented Intelligence for EmTech May 2016 (Anand-final-Without Video) Presen...
 
Jessica Collins: Engaging Stakeholders and Adoption for People Analytics Success
Jessica Collins: Engaging Stakeholders and Adoption for People Analytics SuccessJessica Collins: Engaging Stakeholders and Adoption for People Analytics Success
Jessica Collins: Engaging Stakeholders and Adoption for People Analytics Success
 
Data monetization
Data monetizationData monetization
Data monetization
 
Experian presentation
Experian presentationExperian presentation
Experian presentation
 
Decision Intelligence: How AI and DI (and YOU) are Evolving to the Next Level
Decision Intelligence: How AI and DI (and YOU) are Evolving to the Next LevelDecision Intelligence: How AI and DI (and YOU) are Evolving to the Next Level
Decision Intelligence: How AI and DI (and YOU) are Evolving to the Next Level
 
Business Analytics
Business AnalyticsBusiness Analytics
Business Analytics
 

Destaque

Introduction to Machine Learning for Heathcare, Finance, Energy, and Commerce...
Introduction to Machine Learning for Heathcare, Finance, Energy, and Commerce...Introduction to Machine Learning for Heathcare, Finance, Energy, and Commerce...
Introduction to Machine Learning for Heathcare, Finance, Energy, and Commerce...Sam Putnam [Deep Learning]
 
The Essentials of PowerPoint Color Theme
The Essentials of PowerPoint Color ThemeThe Essentials of PowerPoint Color Theme
The Essentials of PowerPoint Color Theme24Slides
 
Tracxn Research — Enterprise Collaboration Landscape, November 2016
Tracxn Research — Enterprise Collaboration Landscape, November 2016Tracxn Research — Enterprise Collaboration Landscape, November 2016
Tracxn Research — Enterprise Collaboration Landscape, November 2016Tracxn
 
Python for Image Understanding: Deep Learning with Convolutional Neural Nets
Python for Image Understanding: Deep Learning with Convolutional Neural NetsPython for Image Understanding: Deep Learning with Convolutional Neural Nets
Python for Image Understanding: Deep Learning with Convolutional Neural NetsRoelof Pieters
 
Artificial Intelligence (AI) for Financial Services
Artificial Intelligence (AI) for Financial Services Artificial Intelligence (AI) for Financial Services
Artificial Intelligence (AI) for Financial Services NVIDIA
 
14 Startups Leading the Artificial Intelligence (AI) Revolution
14 Startups Leading the Artificial Intelligence (AI) Revolution14 Startups Leading the Artificial Intelligence (AI) Revolution
14 Startups Leading the Artificial Intelligence (AI) RevolutionNVIDIA
 
Transform your Business with AI, Deep Learning and Machine Learning
Transform your Business with AI, Deep Learning and Machine LearningTransform your Business with AI, Deep Learning and Machine Learning
Transform your Business with AI, Deep Learning and Machine LearningSri Ambati
 
The Spring of AI : Leveraging Collective Disruptor Insights
The Spring of AI : Leveraging Collective Disruptor InsightsThe Spring of AI : Leveraging Collective Disruptor Insights
The Spring of AI : Leveraging Collective Disruptor InsightsZinnov
 
Deep neural networks
Deep neural networksDeep neural networks
Deep neural networksSi Haem
 
[DSC 2016] 系列活動:李宏毅 / 一天搞懂深度學習
[DSC 2016] 系列活動:李宏毅 / 一天搞懂深度學習[DSC 2016] 系列活動:李宏毅 / 一天搞懂深度學習
[DSC 2016] 系列活動:李宏毅 / 一天搞懂深度學習台灣資料科學年會
 
Deep Learning - The Past, Present and Future of Artificial Intelligence
Deep Learning - The Past, Present and Future of Artificial IntelligenceDeep Learning - The Past, Present and Future of Artificial Intelligence
Deep Learning - The Past, Present and Future of Artificial IntelligenceLukas Masuch
 
How to Become a Thought Leader in Your Niche
How to Become a Thought Leader in Your NicheHow to Become a Thought Leader in Your Niche
How to Become a Thought Leader in Your NicheLeslie Samuel
 

Destaque (13)

Introduction to Machine Learning for Heathcare, Finance, Energy, and Commerce...
Introduction to Machine Learning for Heathcare, Finance, Energy, and Commerce...Introduction to Machine Learning for Heathcare, Finance, Energy, and Commerce...
Introduction to Machine Learning for Heathcare, Finance, Energy, and Commerce...
 
The Essentials of PowerPoint Color Theme
The Essentials of PowerPoint Color ThemeThe Essentials of PowerPoint Color Theme
The Essentials of PowerPoint Color Theme
 
Deep Learning for Sales Professionals
Deep Learning for Sales ProfessionalsDeep Learning for Sales Professionals
Deep Learning for Sales Professionals
 
Tracxn Research — Enterprise Collaboration Landscape, November 2016
Tracxn Research — Enterprise Collaboration Landscape, November 2016Tracxn Research — Enterprise Collaboration Landscape, November 2016
Tracxn Research — Enterprise Collaboration Landscape, November 2016
 
Python for Image Understanding: Deep Learning with Convolutional Neural Nets
Python for Image Understanding: Deep Learning with Convolutional Neural NetsPython for Image Understanding: Deep Learning with Convolutional Neural Nets
Python for Image Understanding: Deep Learning with Convolutional Neural Nets
 
Artificial Intelligence (AI) for Financial Services
Artificial Intelligence (AI) for Financial Services Artificial Intelligence (AI) for Financial Services
Artificial Intelligence (AI) for Financial Services
 
14 Startups Leading the Artificial Intelligence (AI) Revolution
14 Startups Leading the Artificial Intelligence (AI) Revolution14 Startups Leading the Artificial Intelligence (AI) Revolution
14 Startups Leading the Artificial Intelligence (AI) Revolution
 
Transform your Business with AI, Deep Learning and Machine Learning
Transform your Business with AI, Deep Learning and Machine LearningTransform your Business with AI, Deep Learning and Machine Learning
Transform your Business with AI, Deep Learning and Machine Learning
 
The Spring of AI : Leveraging Collective Disruptor Insights
The Spring of AI : Leveraging Collective Disruptor InsightsThe Spring of AI : Leveraging Collective Disruptor Insights
The Spring of AI : Leveraging Collective Disruptor Insights
 
Deep neural networks
Deep neural networksDeep neural networks
Deep neural networks
 
[DSC 2016] 系列活動:李宏毅 / 一天搞懂深度學習
[DSC 2016] 系列活動:李宏毅 / 一天搞懂深度學習[DSC 2016] 系列活動:李宏毅 / 一天搞懂深度學習
[DSC 2016] 系列活動:李宏毅 / 一天搞懂深度學習
 
Deep Learning - The Past, Present and Future of Artificial Intelligence
Deep Learning - The Past, Present and Future of Artificial IntelligenceDeep Learning - The Past, Present and Future of Artificial Intelligence
Deep Learning - The Past, Present and Future of Artificial Intelligence
 
How to Become a Thought Leader in Your Niche
How to Become a Thought Leader in Your NicheHow to Become a Thought Leader in Your Niche
How to Become a Thought Leader in Your Niche
 

Semelhante a P 02 internal_data_first_2017_04_22_v6

PWC presentation at the Chief Analytics Officer Forum East Coast USA (#CAOForum)
PWC presentation at the Chief Analytics Officer Forum East Coast USA (#CAOForum)PWC presentation at the Chief Analytics Officer Forum East Coast USA (#CAOForum)
PWC presentation at the Chief Analytics Officer Forum East Coast USA (#CAOForum)Chief Analytics Officer Forum
 
Lessons From the 0.3% Highest Performing Private Companies
Lessons From the 0.3% Highest Performing Private CompaniesLessons From the 0.3% Highest Performing Private Companies
Lessons From the 0.3% Highest Performing Private CompaniesTimothy Nordvedt
 
Big Data & Analytics 101: How Customer Lifetime Value Enhances Predictive Mar...
Big Data & Analytics 101: How Customer Lifetime Value Enhances Predictive Mar...Big Data & Analytics 101: How Customer Lifetime Value Enhances Predictive Mar...
Big Data & Analytics 101: How Customer Lifetime Value Enhances Predictive Mar...Big Cloud Analytics, Inc.
 
Artificial intelligence and machine learning overview
Artificial intelligence and machine learning overviewArtificial intelligence and machine learning overview
Artificial intelligence and machine learning overviewMukesh Sinha
 
Artificial Intelligence and Machine Learning : Infographics view
Artificial Intelligence and Machine Learning : Infographics viewArtificial Intelligence and Machine Learning : Infographics view
Artificial Intelligence and Machine Learning : Infographics viewMukesh Sinha
 
Artificial Intelligence and Machine learning overview
Artificial Intelligence and Machine learning overviewArtificial Intelligence and Machine learning overview
Artificial Intelligence and Machine learning overviewMukesh Sinha
 
Behavioral-Based Safety – Predictive Analytics and a Safe Workplace
Behavioral-Based Safety – Predictive Analytics and a Safe Workplace Behavioral-Based Safety – Predictive Analytics and a Safe Workplace
Behavioral-Based Safety – Predictive Analytics and a Safe Workplace McKenney's Inc
 
Next Generation Compliance: Using Analytics to Reduce Compliance Risk
Next Generation Compliance: Using Analytics to Reduce Compliance RiskNext Generation Compliance: Using Analytics to Reduce Compliance Risk
Next Generation Compliance: Using Analytics to Reduce Compliance Riskqordata
 
Global Product Lifecycle - Creating A Lean Enterprise
Global Product Lifecycle - Creating A Lean EnterpriseGlobal Product Lifecycle - Creating A Lean Enterprise
Global Product Lifecycle - Creating A Lean Enterprisestrongandagile.co.uk
 
Informatics of Decision Making by Expedia Group PM
Informatics of Decision Making by Expedia Group PMInformatics of Decision Making by Expedia Group PM
Informatics of Decision Making by Expedia Group PMProduct School
 
Pitching the plan - TCN Fast Track
Pitching the plan - TCN Fast TrackPitching the plan - TCN Fast Track
Pitching the plan - TCN Fast TrackThe Capital Network
 
Online Survey Research: Harnessing the Power of "Big Data"
Online Survey Research: Harnessing the Power of "Big Data"Online Survey Research: Harnessing the Power of "Big Data"
Online Survey Research: Harnessing the Power of "Big Data"4Good.org
 
When the Money Runs Out: Retaining and Motivating Long Term Employees Without...
When the Money Runs Out: Retaining and Motivating Long Term Employees Without...When the Money Runs Out: Retaining and Motivating Long Term Employees Without...
When the Money Runs Out: Retaining and Motivating Long Term Employees Without...HRsoft - Talent Management Software
 
Making Data Actionable; PDF
Making Data Actionable; PDFMaking Data Actionable; PDF
Making Data Actionable; PDFRich Jones
 
State of the CSO 2015
State of the CSO 2015State of the CSO 2015
State of the CSO 2015IDG
 
Creating a Social Media Marketing Machine - Process > Ideas
Creating a Social Media Marketing Machine - Process > IdeasCreating a Social Media Marketing Machine - Process > Ideas
Creating a Social Media Marketing Machine - Process > IdeasCatalin Matei
 

Semelhante a P 02 internal_data_first_2017_04_22_v6 (20)

PWC presentation at the Chief Analytics Officer Forum East Coast USA (#CAOForum)
PWC presentation at the Chief Analytics Officer Forum East Coast USA (#CAOForum)PWC presentation at the Chief Analytics Officer Forum East Coast USA (#CAOForum)
PWC presentation at the Chief Analytics Officer Forum East Coast USA (#CAOForum)
 
Lessons From the 0.3% Highest Performing Private Companies
Lessons From the 0.3% Highest Performing Private CompaniesLessons From the 0.3% Highest Performing Private Companies
Lessons From the 0.3% Highest Performing Private Companies
 
Data & Analytics - Webinar Deck
Data & Analytics - Webinar DeckData & Analytics - Webinar Deck
Data & Analytics - Webinar Deck
 
Lean healthcare rev01
Lean healthcare rev01Lean healthcare rev01
Lean healthcare rev01
 
Big Data & Analytics 101: How Customer Lifetime Value Enhances Predictive Mar...
Big Data & Analytics 101: How Customer Lifetime Value Enhances Predictive Mar...Big Data & Analytics 101: How Customer Lifetime Value Enhances Predictive Mar...
Big Data & Analytics 101: How Customer Lifetime Value Enhances Predictive Mar...
 
Artificial intelligence and machine learning overview
Artificial intelligence and machine learning overviewArtificial intelligence and machine learning overview
Artificial intelligence and machine learning overview
 
Artificial Intelligence and Machine Learning : Infographics view
Artificial Intelligence and Machine Learning : Infographics viewArtificial Intelligence and Machine Learning : Infographics view
Artificial Intelligence and Machine Learning : Infographics view
 
Artificial Intelligence and Machine learning overview
Artificial Intelligence and Machine learning overviewArtificial Intelligence and Machine learning overview
Artificial Intelligence and Machine learning overview
 
Behavioral-Based Safety – Predictive Analytics and a Safe Workplace
Behavioral-Based Safety – Predictive Analytics and a Safe Workplace Behavioral-Based Safety – Predictive Analytics and a Safe Workplace
Behavioral-Based Safety – Predictive Analytics and a Safe Workplace
 
Next Generation Compliance: Using Analytics to Reduce Compliance Risk
Next Generation Compliance: Using Analytics to Reduce Compliance RiskNext Generation Compliance: Using Analytics to Reduce Compliance Risk
Next Generation Compliance: Using Analytics to Reduce Compliance Risk
 
Global Product Lifecycle - Creating A Lean Enterprise
Global Product Lifecycle - Creating A Lean EnterpriseGlobal Product Lifecycle - Creating A Lean Enterprise
Global Product Lifecycle - Creating A Lean Enterprise
 
Informatics of Decision Making by Expedia Group PM
Informatics of Decision Making by Expedia Group PMInformatics of Decision Making by Expedia Group PM
Informatics of Decision Making by Expedia Group PM
 
Scope and Career in Analytics
Scope and Career in AnalyticsScope and Career in Analytics
Scope and Career in Analytics
 
Pitching the plan - TCN Fast Track
Pitching the plan - TCN Fast TrackPitching the plan - TCN Fast Track
Pitching the plan - TCN Fast Track
 
Online Survey Research: Harnessing the Power of "Big Data"
Online Survey Research: Harnessing the Power of "Big Data"Online Survey Research: Harnessing the Power of "Big Data"
Online Survey Research: Harnessing the Power of "Big Data"
 
When the Money Runs Out: Retaining and Motivating Long Term Employees Without...
When the Money Runs Out: Retaining and Motivating Long Term Employees Without...When the Money Runs Out: Retaining and Motivating Long Term Employees Without...
When the Money Runs Out: Retaining and Motivating Long Term Employees Without...
 
Making Data Actionable; PDF
Making Data Actionable; PDFMaking Data Actionable; PDF
Making Data Actionable; PDF
 
State of the CSO 2015
State of the CSO 2015State of the CSO 2015
State of the CSO 2015
 
CDO_public
CDO_publicCDO_public
CDO_public
 
Creating a Social Media Marketing Machine - Process > Ideas
Creating a Social Media Marketing Machine - Process > IdeasCreating a Social Media Marketing Machine - Process > Ideas
Creating a Social Media Marketing Machine - Process > Ideas
 

Último

Effects of Smartphone Addiction on the Academic Performances of Grades 9 to 1...
Effects of Smartphone Addiction on the Academic Performances of Grades 9 to 1...Effects of Smartphone Addiction on the Academic Performances of Grades 9 to 1...
Effects of Smartphone Addiction on the Academic Performances of Grades 9 to 1...limedy534
 
Data Factory in Microsoft Fabric (MsBIP #82)
Data Factory in Microsoft Fabric (MsBIP #82)Data Factory in Microsoft Fabric (MsBIP #82)
Data Factory in Microsoft Fabric (MsBIP #82)Cathrine Wilhelmsen
 
Biometric Authentication: The Evolution, Applications, Benefits and Challenge...
Biometric Authentication: The Evolution, Applications, Benefits and Challenge...Biometric Authentication: The Evolution, Applications, Benefits and Challenge...
Biometric Authentication: The Evolution, Applications, Benefits and Challenge...GQ Research
 
Top 5 Best Data Analytics Courses In Queens
Top 5 Best Data Analytics Courses In QueensTop 5 Best Data Analytics Courses In Queens
Top 5 Best Data Analytics Courses In Queensdataanalyticsqueen03
 
Identifying Appropriate Test Statistics Involving Population Mean
Identifying Appropriate Test Statistics Involving Population MeanIdentifying Appropriate Test Statistics Involving Population Mean
Identifying Appropriate Test Statistics Involving Population MeanMYRABACSAFRA2
 
Defining Constituents, Data Vizzes and Telling a Data Story
Defining Constituents, Data Vizzes and Telling a Data StoryDefining Constituents, Data Vizzes and Telling a Data Story
Defining Constituents, Data Vizzes and Telling a Data StoryJeremy Anderson
 
GA4 Without Cookies [Measure Camp AMS]
GA4 Without Cookies [Measure Camp AMS]GA4 Without Cookies [Measure Camp AMS]
GA4 Without Cookies [Measure Camp AMS]📊 Markus Baersch
 
Advanced Machine Learning for Business Professionals
Advanced Machine Learning for Business ProfessionalsAdvanced Machine Learning for Business Professionals
Advanced Machine Learning for Business ProfessionalsVICTOR MAESTRE RAMIREZ
 
9711147426✨Call In girls Gurgaon Sector 31. SCO 25 escort service
9711147426✨Call In girls Gurgaon Sector 31. SCO 25 escort service9711147426✨Call In girls Gurgaon Sector 31. SCO 25 escort service
9711147426✨Call In girls Gurgaon Sector 31. SCO 25 escort servicejennyeacort
 
1:1定制(UQ毕业证)昆士兰大学毕业证成绩单修改留信学历认证原版一模一样
1:1定制(UQ毕业证)昆士兰大学毕业证成绩单修改留信学历认证原版一模一样1:1定制(UQ毕业证)昆士兰大学毕业证成绩单修改留信学历认证原版一模一样
1:1定制(UQ毕业证)昆士兰大学毕业证成绩单修改留信学历认证原版一模一样vhwb25kk
 
Statistics, Data Analysis, and Decision Modeling, 5th edition by James R. Eva...
Statistics, Data Analysis, and Decision Modeling, 5th edition by James R. Eva...Statistics, Data Analysis, and Decision Modeling, 5th edition by James R. Eva...
Statistics, Data Analysis, and Decision Modeling, 5th edition by James R. Eva...ssuserf63bd7
 
Consent & Privacy Signals on Google *Pixels* - MeasureCamp Amsterdam 2024
Consent & Privacy Signals on Google *Pixels* - MeasureCamp Amsterdam 2024Consent & Privacy Signals on Google *Pixels* - MeasureCamp Amsterdam 2024
Consent & Privacy Signals on Google *Pixels* - MeasureCamp Amsterdam 2024thyngster
 
原版1:1定制南十字星大学毕业证(SCU毕业证)#文凭成绩单#真实留信学历认证永久存档
原版1:1定制南十字星大学毕业证(SCU毕业证)#文凭成绩单#真实留信学历认证永久存档原版1:1定制南十字星大学毕业证(SCU毕业证)#文凭成绩单#真实留信学历认证永久存档
原版1:1定制南十字星大学毕业证(SCU毕业证)#文凭成绩单#真实留信学历认证永久存档208367051
 
NO1 Certified Black Magic Specialist Expert Amil baba in Lahore Islamabad Raw...
NO1 Certified Black Magic Specialist Expert Amil baba in Lahore Islamabad Raw...NO1 Certified Black Magic Specialist Expert Amil baba in Lahore Islamabad Raw...
NO1 Certified Black Magic Specialist Expert Amil baba in Lahore Islamabad Raw...Amil Baba Dawood bangali
 
专业一比一美国俄亥俄大学毕业证成绩单pdf电子版制作修改
专业一比一美国俄亥俄大学毕业证成绩单pdf电子版制作修改专业一比一美国俄亥俄大学毕业证成绩单pdf电子版制作修改
专业一比一美国俄亥俄大学毕业证成绩单pdf电子版制作修改yuu sss
 
PKS-TGC-1084-630 - Stage 1 Proposal.pptx
PKS-TGC-1084-630 - Stage 1 Proposal.pptxPKS-TGC-1084-630 - Stage 1 Proposal.pptx
PKS-TGC-1084-630 - Stage 1 Proposal.pptxPramod Kumar Srivastava
 
NLP Data Science Project Presentation:Predicting Heart Disease with NLP Data ...
NLP Data Science Project Presentation:Predicting Heart Disease with NLP Data ...NLP Data Science Project Presentation:Predicting Heart Disease with NLP Data ...
NLP Data Science Project Presentation:Predicting Heart Disease with NLP Data ...Boston Institute of Analytics
 
INTERNSHIP ON PURBASHA COMPOSITE TEX LTD
INTERNSHIP ON PURBASHA COMPOSITE TEX LTDINTERNSHIP ON PURBASHA COMPOSITE TEX LTD
INTERNSHIP ON PURBASHA COMPOSITE TEX LTDRafezzaman
 
Call Us ➥97111√47426🤳Call Girls in Aerocity (Delhi NCR)
Call Us ➥97111√47426🤳Call Girls in Aerocity (Delhi NCR)Call Us ➥97111√47426🤳Call Girls in Aerocity (Delhi NCR)
Call Us ➥97111√47426🤳Call Girls in Aerocity (Delhi NCR)jennyeacort
 

Último (20)

Effects of Smartphone Addiction on the Academic Performances of Grades 9 to 1...
Effects of Smartphone Addiction on the Academic Performances of Grades 9 to 1...Effects of Smartphone Addiction on the Academic Performances of Grades 9 to 1...
Effects of Smartphone Addiction on the Academic Performances of Grades 9 to 1...
 
Data Factory in Microsoft Fabric (MsBIP #82)
Data Factory in Microsoft Fabric (MsBIP #82)Data Factory in Microsoft Fabric (MsBIP #82)
Data Factory in Microsoft Fabric (MsBIP #82)
 
Biometric Authentication: The Evolution, Applications, Benefits and Challenge...
Biometric Authentication: The Evolution, Applications, Benefits and Challenge...Biometric Authentication: The Evolution, Applications, Benefits and Challenge...
Biometric Authentication: The Evolution, Applications, Benefits and Challenge...
 
Top 5 Best Data Analytics Courses In Queens
Top 5 Best Data Analytics Courses In QueensTop 5 Best Data Analytics Courses In Queens
Top 5 Best Data Analytics Courses In Queens
 
Identifying Appropriate Test Statistics Involving Population Mean
Identifying Appropriate Test Statistics Involving Population MeanIdentifying Appropriate Test Statistics Involving Population Mean
Identifying Appropriate Test Statistics Involving Population Mean
 
Defining Constituents, Data Vizzes and Telling a Data Story
Defining Constituents, Data Vizzes and Telling a Data StoryDefining Constituents, Data Vizzes and Telling a Data Story
Defining Constituents, Data Vizzes and Telling a Data Story
 
GA4 Without Cookies [Measure Camp AMS]
GA4 Without Cookies [Measure Camp AMS]GA4 Without Cookies [Measure Camp AMS]
GA4 Without Cookies [Measure Camp AMS]
 
Advanced Machine Learning for Business Professionals
Advanced Machine Learning for Business ProfessionalsAdvanced Machine Learning for Business Professionals
Advanced Machine Learning for Business Professionals
 
9711147426✨Call In girls Gurgaon Sector 31. SCO 25 escort service
9711147426✨Call In girls Gurgaon Sector 31. SCO 25 escort service9711147426✨Call In girls Gurgaon Sector 31. SCO 25 escort service
9711147426✨Call In girls Gurgaon Sector 31. SCO 25 escort service
 
1:1定制(UQ毕业证)昆士兰大学毕业证成绩单修改留信学历认证原版一模一样
1:1定制(UQ毕业证)昆士兰大学毕业证成绩单修改留信学历认证原版一模一样1:1定制(UQ毕业证)昆士兰大学毕业证成绩单修改留信学历认证原版一模一样
1:1定制(UQ毕业证)昆士兰大学毕业证成绩单修改留信学历认证原版一模一样
 
Deep Generative Learning for All - The Gen AI Hype (Spring 2024)
Deep Generative Learning for All - The Gen AI Hype (Spring 2024)Deep Generative Learning for All - The Gen AI Hype (Spring 2024)
Deep Generative Learning for All - The Gen AI Hype (Spring 2024)
 
Statistics, Data Analysis, and Decision Modeling, 5th edition by James R. Eva...
Statistics, Data Analysis, and Decision Modeling, 5th edition by James R. Eva...Statistics, Data Analysis, and Decision Modeling, 5th edition by James R. Eva...
Statistics, Data Analysis, and Decision Modeling, 5th edition by James R. Eva...
 
Consent & Privacy Signals on Google *Pixels* - MeasureCamp Amsterdam 2024
Consent & Privacy Signals on Google *Pixels* - MeasureCamp Amsterdam 2024Consent & Privacy Signals on Google *Pixels* - MeasureCamp Amsterdam 2024
Consent & Privacy Signals on Google *Pixels* - MeasureCamp Amsterdam 2024
 
原版1:1定制南十字星大学毕业证(SCU毕业证)#文凭成绩单#真实留信学历认证永久存档
原版1:1定制南十字星大学毕业证(SCU毕业证)#文凭成绩单#真实留信学历认证永久存档原版1:1定制南十字星大学毕业证(SCU毕业证)#文凭成绩单#真实留信学历认证永久存档
原版1:1定制南十字星大学毕业证(SCU毕业证)#文凭成绩单#真实留信学历认证永久存档
 
NO1 Certified Black Magic Specialist Expert Amil baba in Lahore Islamabad Raw...
NO1 Certified Black Magic Specialist Expert Amil baba in Lahore Islamabad Raw...NO1 Certified Black Magic Specialist Expert Amil baba in Lahore Islamabad Raw...
NO1 Certified Black Magic Specialist Expert Amil baba in Lahore Islamabad Raw...
 
专业一比一美国俄亥俄大学毕业证成绩单pdf电子版制作修改
专业一比一美国俄亥俄大学毕业证成绩单pdf电子版制作修改专业一比一美国俄亥俄大学毕业证成绩单pdf电子版制作修改
专业一比一美国俄亥俄大学毕业证成绩单pdf电子版制作修改
 
PKS-TGC-1084-630 - Stage 1 Proposal.pptx
PKS-TGC-1084-630 - Stage 1 Proposal.pptxPKS-TGC-1084-630 - Stage 1 Proposal.pptx
PKS-TGC-1084-630 - Stage 1 Proposal.pptx
 
NLP Data Science Project Presentation:Predicting Heart Disease with NLP Data ...
NLP Data Science Project Presentation:Predicting Heart Disease with NLP Data ...NLP Data Science Project Presentation:Predicting Heart Disease with NLP Data ...
NLP Data Science Project Presentation:Predicting Heart Disease with NLP Data ...
 
INTERNSHIP ON PURBASHA COMPOSITE TEX LTD
INTERNSHIP ON PURBASHA COMPOSITE TEX LTDINTERNSHIP ON PURBASHA COMPOSITE TEX LTD
INTERNSHIP ON PURBASHA COMPOSITE TEX LTD
 
Call Us ➥97111√47426🤳Call Girls in Aerocity (Delhi NCR)
Call Us ➥97111√47426🤳Call Girls in Aerocity (Delhi NCR)Call Us ➥97111√47426🤳Call Girls in Aerocity (Delhi NCR)
Call Us ➥97111√47426🤳Call Girls in Aerocity (Delhi NCR)
 

P 02 internal_data_first_2017_04_22_v6

  • 1. Internal Data First Vishwa Kolla Head of Advanced Analytics John Hancock Insurance
  • 2. Technology (Programming) Analytics (Math, Stats) Business  Advanced Analytics CoE, Maturity Model  Customer Analytics (entire value chain)  Machine Learning  Scoring Engine  Optimization  Simulations  Forecasting & Time Series • 16+ Years • John Hancock Insurance • Deloitte Consulting (Industries – Insurance, Retail, Financial, Technology, Telecom, Healthcare, Data) • IBM • Sun Microsystems Expertise Experience Vishwa Kolla Head of Advanced Analytics John Hancock Insurance, Boston MBA Carnegie Mellon University MS University of Denver BS BITS Pilani, India
  • 3. (Existing) Customer Centricity is … o Good o Bad o Both o None
  • 4. On Customer Centricity Journey my firm … o talks best practices o implements best practices o understands best practices o thinks best practices
  • 5. To further Customer Centricity Data is … o is the most important ingredient o is one of several ingredients
  • 6. Internal Data contribution to data gold … o 00-25% o 25-50% o 50-75% o 75-100%
  • 8. Value from Internal Data is … well, HUGE ~$820 B Value of Customer Data + Algorithms $1.2 T Market Cap (11/30/2016) $120 B Debt (11/30/2016) $178 B Brand Value (05/2016) Source: http://www.forbes.com/powerful-brands/list/2/#tab:rank
  • 9. Embracing Data helps with Top & Bottom lines 2001 – 2013 CAGR Revenue (Firm | Industry) Source: 2001 – 2013 Revenue figures from Capital IQ 3% 3% 3% 1% 5% 7% 7% 8% 10% 12%
  • 10. Data is the new oil … Source: http://www.ibmbigdatahub.com/infographic/four-vs-big-data
  • 11. 11 … and Analytics is the new combustion engine Descriptive Predictive Prescriptive Nudge Cognitive Experimental What Happened? What Will Happen? What Action? What Outcome? How does a Human do? What should I expect?
  • 22. 22 Analytics Stack at Hancock Systems Infrastructure Software Infrastructure SQL Server SAS Server R Server RDP Server App Server Hadoop Data Infrastructure Accelerators Match Merge Profiling Segmentation Exploration Modeling Productivity Tools Innovation Rules Engine Scoring Engine Visualization Frameworks Presentation Templates OCR Engine Dynamic eApp Web Scraping Middleware Web Apps
  • 23. Understanding the WHO is the first step … Insurance Investments Retirements
  • 24. Look-alike Models are the next step > Source: Krux.com
  • 25. The new target population is very different
  • 26. Internal data alone is not enough
  • 27. 27 Internal data helps improve operations Decline Standard or Better
  • 28. 28 Internal data enables customer-centricity Decision Acquired Scheduled UnderwriterApplicant Part I Typically 3-6 weeks Process Bottle neck Traditional Process End to End Turn Around Time = Hours to 3 - 6 weeks Consent Proxy for Cholesterol, Glucose, Nicotine Likely to misrepresent Adjustment for Height and Weight Other issues found after roll out Encourages healthy people to apply
  • 30. Earn points for Vitality Health Review 46 43 Save 50% on luxury hotel stay Earn points for biometrics from underwriting Earn points for going to the gym Earn points and save $$ buying HealthyFood Earn points for healthy activities Bob receives his free Fitbit Bob receives his Welcome Kit Bob receives his policy Age Age Internal data helps nurture the relationship
  • 31. 31 Internal Data Helps Understand the Customer 7. Rewards: • Most Common Redemptions: • Nutrisavings • Amazon Gift cards • Starbucks 6. Activity: • Most Common Activities: • Physical Activity • Prevention • Education 1. Sales Force: • 2016 Campaigns Executed: # • 2016 New Leads: # • 2016 Vitality Apps: # 2. Application: • 2016 Applications: # (Vitality #) 4. Premiums • Median Annual Premium: # (Vitality #) 5. Engagement: • # Fitbit redemption • # Linked Fitbit 3. Approval: • 2016 New Policyholders: # (Vitality #)
  • 32. So What? Case In Point? Now What?
  • 33. Become internal data rich first
  • 34. Then enhance w/ external data Image Source: http://www.janrain.com/resources/webinars/eureka-7-ways-to-mine-the-hidden-gold-in-your-customer-data/
  • 35. (Existing) Customer Centricity is … o Good o Bad o Both o None
  • 36. On Customer Centricity Journey my firm … o talks best practices o implements best practices o understands best practices o thinks best practices
  • 37. To further Customer Centricity Data is … o is the most important ingredient o is one of several ingredients
  • 38. Internal Data contribution to data gold … o 00-25% o 25-50% o 50-75% o 75-100%
  • 39. 39