IBM Business Analytics software for Insurance



Similar documents
The Future of Business Analytics is Now! 2013 IBM Corporation

How To Use Social Media To Improve Your Business

A New Era Of Analytic

INSURANCE. Adding lasting to success. That s the intelligent enterprise

Demystifying Big Data Government Agencies & The Big Data Phenomenon

How To Transform Customer Service With Business Analytics

Patient Relationship Management

Business analytics for insurance

Global Trends in Life Insurance: Claims

Introduction to Business Intelligence

Customer Insight Appliance. Enabling retailers to understand and serve their customer

Big Data overview. Livio Ventura. SICS Software week, Sept Cloud and Big Data Day

Three Ways to Improve Claims Management with Business Analytics

Big Data & Analytics for Semiconductor Manufacturing

Torquex Customer Engagement Analytics. End to End View of Customer Interactions and Operational Insights

Agilità per perseguire nuovi modelli di business e creare nuovo valore nel mercato delle utilities. Cristina Viscontino SoftwareAG Solution Architect

Banking on Business Intelligence (BI)

Growing Customer Value, One Unique Customer at a Time

Predictive Marketing for Banking

Achieving customer loyalty with customer analytics

DATA-DRIVEN EFFICIENCY

Innovations in Pharma Sales Operations

Current Challenges. Predictive Analytics: Answering the Age-Old Question, What Should We Do Next?

Beyond listening Driving better decisions with business intelligence from social sources

Smarter Analytics. Barbara Cain. Driving Value from Big Data

Maintaining a Competitive Edge with Interaction Analysis

How To Use Big Data To Help A Retailer

Corporate Overview Q3 FY 15

ramyam E x p e r i e n c e Y o u r C u s t o m e r s D e l i g h t Ramyam is a Customer Experience Management Company Intelligence Lab

NOUS CREATING POSITIVE CUSTOMER EXPERIENCE IN BANKING INFOSYSTEMS LEVERAGING INTELLECT

Elevate Customer Experience and Engagement in the New Digital World

Predictive Customer Intelligence

MAXIMISING VALUE FROM DIRECT MARKETING: CUSTOMER ENGAGEMENT

Business analytics for insurance

> Cognizant Analytics for Banking & Financial Services Firms

Advanced Case Management. Chris den Hoedt

Trends in Insurance Channels

5 Big Data Use Cases to Understand Your Customer Journey CUSTOMER ANALYTICS EBOOK

Big Data Analytics: Answering the Unanswered Questions

the 3 keys to achieving real-time visibility of your customer s experience

BIG DATA ANALYTICS. in Insurance. How Big Data is Transforming Property and Casualty Insurance

Maximizing Returns through Advanced Analytics in Transportation

Wealth management offerings for sustainable profitability and enhanced client centricity

IBM Social Media Analytics

Strategic Decisions Supported by SAP Big Data Solutions. Angélica Bedoya / Strategic Solutions GTM Mar /2014

How To Transform Insurance Through Digital Transformation

Improving The Retail Experience Through Fast Data

Big Data & Analytics Heute & Morgen

How the oil and gas industry can gain value from Big Data?

Customer Experience Management

Explosive Growth Is No Accident: Driving Digital Transformation in the Insurance Industry

IBM Social Media Analytics

Improving claims management outcomes with predictive analytics

Delivering Customer Value Faster With Big Data Analytics

Solve your toughest challenges with data mining

Technology is Evolving Faster than Ever Before in this Digital Era. Autonomous Vehicles AI & Robotics (Machine Learning) More Data

ABSTRACT Speech and Text Analytics Product and Market Report

Harnessing the power of big data and analytics for insurance

OPTIMIZE SALES, SERVICE AND SATISFACTION WITH ORACLE DEALER MANAGEMENT

Insurance customer retention and growth

How To Understand The Benefits Of Big Data

Technology and Trends for Smarter Business Analytics

How To Be Successful In A Cross Channel Retailing

Optimizing government and insurance claims management with IBM Case Manager

Solve Your Toughest Challenges with Data Mining

Getting the most out of big data

Digital Marketing. the better way for audience targeting. Wolfgang Jaegel CEO & Founder of

Software AG Fast Big Data Solutions. Come la gestione realtime dei dati abilita nuovi scenari di business per le Banche

Insurance Solutions. 17 October Risk Solutions

Unlock the business value of enterprise data with in-database analytics

Making Sense of Big Data in Insurance

Microsoft Dynamics CRM for Financial Services. Making customers the heart of your business.

HOW TO TURN 9 RETAIL IT CHALLENGES INTO 9 BUSINESS OPPORTUNITIES

and Analytic s i n Consu m e r P r oducts

Delivering a Smarter Shopping Experience with Predictive Analytics:

I D C A N A L Y S T C O N N E C T I O N. C o g n i t i ve C o m m e r c e i n B2B M a rketing a n d S a l e s

BIG (SMART) DATA ANALYTICS IN ENERGY TRENDS AND BENEFITS

Leverage Insights. Ignite Brand Engagement.

IBM Business Analytics and Optimization The Path to Breakaway Performance

Industry models for insurance. The IBM Insurance Application Architecture: A blueprint for success

Big Data jako součást našeho života. Zdenek Panec: June, 2015

How Qantas Freight Transformed Customer Experience Using Mobile Technologies

BIG DATA + ANALYTICS

The Next Frontier in CRM Analytics Oracle Transactional Business Intelligence Enterprise for CRM Cloud Service

Accenture Customer Engagement. A Comprehensive Digital Marketing Managed Service Built on Adobe Marketing Cloud

Transcription:

IBM Business Analytics software for Insurance Nischal Kapoor Global Insurance Leader - APAC

2

Non-Life Insurance in Thailand Rising vehicle sales and mandatory motor third-party insurance supported the growth of motor insurance during the review period. Motor Claim Fraud is on a rise The Thai non-life insurance segment is moderately concentrated, with the 10 leading companies together accounting for 63.4% NWP. Expansions in product portfolios and programs were carried out by most non-life insurers during the review period, to increase consumer awareness and market share. Thailand is one of the world's three riskiest countries in terms of cybercrime. Frequent natural disasters in Thailand challenge the growth of non-life insurance 3

Life Insurance in Thailand 25% of Thailand population will be over 60 years within the next 20 years. It will drive needs for financial security products Insurers need to develop ways of dealing with longevity risk and risks associated with providing long term guarantees formation of the ASEAN Economic Community (AEC), has led the government to take initiatives to open up the economy to foreign investments. The minimum capital requirement will be THB 500 million for non-life insurers and THB 1 billion for life insurers more than 15 times the current level Smartphone penetration in Thailand is at 49% compared with Malaysia (80%), Indonesia (23%) and the Philippines (15%). 4

Industry changes mean business as usual is no longer an option Capital management Respond to regulators, market instability and maximize capital return Increased distributor demands Want more flexibility and responsiveness Customer retention Demanding customers, commoditized products and crowded competitive marketplace Product innovation Rapidly develop competitive products & offerings to attract and retain customers Consistent multichannel experience Increasing customer & distributor satisfaction with every interaction to build loyalty Claims fraud Fraud is no longer an accepted cost of business Cumbersome claims processes Speed approval of simple claims driving satisfaction while reducing leakage

Big Data presents a huge opportunity for insurers if they can harness it 1 billion cars worldwide providing vehicle and driver data Variety Data in many forms Velocity Batch and streaming 10 TBs of data being processed by Facebook every day 4.5m Claims are handled annually by this global insurer and up to10% may be fraudulent Data in doubt Veracity Big Data Terabytes and zettabytes of data Volume 2 billion people on the Web, 80% who are happy to buy insurance online 6

Analytics has evolved from a business initiative to a business imperative More organization are using analytics to create a competitive advantage And leaders are outperforming their competitors in key financial measures Respondents who believe analytics creates a competitive advantage 1.6x Revenue Growth 2010 37% 57% increase 2.0x EBITDA Growth 2011 58% 2.5x Stock Price Appreciation Source: The New Intelligent Enterprise, a joint MIT Sloan Management Review and IBM Institute of Business Value analytics research partnership. Copyright Massachusetts Institute of Technology 2011 Source: Outperforming in a data-rich, hyper-connected world, IBM Center for Applied Insights study conducted in cooperation with the Economist Intelligence Unit and the IBM Institute of Business Value. 2012 7

Deploying the Next Stage of Analytics Innovation Cognitive How can we learn dynamically? Learning Models Experience Memory Feedback mechanisms Prescriptive How can we achieve the best outcome? Rules Optimization Models Recommendations IBM Analytics How can everyone be more right.more often? Predictive What could happen? Predictive Models Scores Forecasts Descriptive What has happened? Reports Dashboards Visualization Information Layer How is data managed and stored? Data Sourcing Data Management Data Movement

Business Analytics Maturity Model Predict / Prescribe Best that can happen? Optimization Views of What will happen next? Predictive Modelling Competitive Advantage Std Reports Ad Hoc Reports What if theses trends continue? Why is this happening? Drilldown Query Alerts How many, how often, who, & where? What just happened and why? Statistical Analysis Forecasting What actions are needed? Exact root cause and ID of the problem? Analytics Access & Reporting Business Analytics Source: Adapted from Competing on Analytics : Davenport Harris

How To Do It? Some Initial Thoughts YMMV Systems of Record: core-to-cloud and infrastructure optimization process analytics legacy optimization: packages, core-on-cloud infrastructure efficiency: PaaS/IaaS Systems of Engagement: sales and product extension omnichannel, next best action, customer insight, system U mobile: engagement apps data-linked partnerships Systems of Insight: insight as a capability -- risk mitigation services: cyberrisk risk analytics: risk assessment and avoidance advice: risk visualization, agent coaching, product recommendation

Analytics improves outcomes for key insurance business use cases Improve Customer Insight Customer Retention & Cross/Up-Sell Analytics How can I better understand my policyholders to improve retention and determine relevant offers? Digital Engagement How can I reach my customers with the same standards, regardless of channel? Distribution Optimization How can I effectively manage my producers and identify the right actions? Innovate Business Models Claims Optimization & Fraud Prevention How can I gain a deeper understanding of my claims process and better predict, detect, and investigate fraud? Internet of Things Utilization How can I capitalize on the Internet of Things to offer personalized value-added services to my insureds? Underwriting Optimization How can I apply additional data sources to improve the underwriting process? Manage Risk & Finance Catastrophe Insight & Response How can I analyze data to get advanced insight to avoid losses and respond post event? Financial Performance Management How can I create a solid foundation for better financial decision making? Risk Management & Compliance How can I ensure effective risk management is used across the enterprise?

Improve customer insight for insurers Customer Retention & Cross/Up-Sell Analytics How can I better understand my policyholders to improve retention and determine relevant offers? Digital Engagement How can I reach my customers with the same standards, regardless of channel? Distribution Optimization How can I effectively manage my producers and identify the right actions? Leveraging entire customer data set and integrating additional parameters into analytics Increased retention rates up to 40% while reducing costs Hungary Improved customer response through a targeted direct marketing campaign that precisely reflects customer needs Increased customer responses by 78% and new policy purchases from 5% to 8% Extracted insight identifying the right producers to target for campaigns and incentive programs Up to a 10% increase in producer generated revenue with a 20% reduction in sale support costs

Innovate business models for insurers Claims Optimization & Fraud Prevention How can I gain a deeper understanding of my claims process and better predict, detect, and investigate fraud? Internet of Things Utilization How can I capitalize on the Internet of Things to offer personalized valueadded services to my insureds? Underwriting Optimization How can I apply additional data sources to improve the underwriting process? U.S. Auto Insurer U.S. Commercial Insurer Using analysis of claims in real-time to optimize customer interaction and claims payment Using near real-time trip data to provide driver feedback, alerts, and input to Claims Mastered risk location and merged additional data sources to assess probable maximum losses (PMLs)? Identified low risk claims; increased processing speed & accuracy by 90% Reduced time to analyze a day s worth of data with 30,000 points per second from 20 hours to 4 minutes Improved combined ratio and reduced cost of reinsurance

Manage risk and finance for insurers Catastrophe Insight & Response How can I analyze data to get advanced insight to avoid losses and respond post event? Financial Performance Management How can I create a solid foundation for better financial decision making? Risk Management & Compliance How can I ensure effective risk management is used across the enterprise? Deliver a more responsive service to customers taking advanced analytics to the cloud Touring Club Switzerland Using enhanced analytics enabled real-time visibility of contracts, commissions and payments for targeted performance management Implemented a risk management solution to calculate Solvency II capital requirements Respond faster when disaster strikes by turning social media data into actionable insight 50% cost reduction in generating commission statements with reduced inquiries and complaints Reduced operating costs, increased visibility and improved decision making modeling

Data & Analytics capabilities are required All Data Big Data & Analytics Strategy, Integration & Managed Services Big Data & Analytics Platform New / Enhanced Applications Machine/Sensor Policy Broker Claims Social Media Location Real-time Data Processing & Analytics Operational data zone Landing, Exploration and Archive data zone Information Integration & Governance Deep Analytics data zone EDW and data mart zone What action should I take? Decision management What is happening? Discovery and exploration What did I learn, what s best? Cognitive What could happen? Predictive analytics and modeling Why did it happen? Reporting and analysis Better and Individual Pricing Enhanced 360 Degree View Claims Analytics & Real-time Fraud Detection Batch or Real Time Next Best Action Litigation & Other 3 rd party Big Data & Analytics Infrastructure Information Sharing & Transparency

More insurance successes from around the globe Korean life insurer made significant gains in profitability by combining predictive analytics with campaign management This major US insurer analyzes its customers information to predict increasing agent retention rates by up to 40% This major US insurer now delivers insight and speeds productivity of 95,000 representatives Australian financial services group integrating data from multiple, previously siloed sources that removes marketing overlap and cuts costs The UK branch of a European insurance agency analyzes risk in a variety of insurance products and areas of operation This Brazilian insurance company provides managers with fast, direct and continuous access to information across business divisions to become more agile and competitive 16