Antunes, Marco. VP IT Operations and Facilities Phone: +55 11 3779 7066 l 55 11 98689 5315 E-Mail: marco.antunes@sulamerica.com.br Presentation Operations & I T
MARKET PERSPECTIVES Insurance Industry Growth vs. GDP Growth 1 8 .3 % 1 6 .4 % 1 6 .3 % 1 3 .3 % 1 2 .1 % 1 1 .6 % 8 .6 % 7 .5 % I nsurance Prem ium s Grow th 3 .9 % GDP Grow th ( PI B) 3 .0 % 1 .9 % 0 .1 % 2010 2011 2012 2013 2014 2015 2016e -3 .8 % -3 .2 % REVENUE GROW TH I N ALL SEGMENTS (R$ billion) CAGR = + 9 .7 % Health 2016e 162 31 40 34 108 22 R$ 3 9 7 billion Auto Other P&C R$365 billion 2015 146 33 36 33 96 22 Life Private Pension R$327 billion 2014 128 31 34 31 81 22 Savings Bonds Source: Cnseg, IBGE & Focus Report (10/ 14/ 2016) 2
STRONG RELATIONSHIP WITH DISTRIBUTION NETWORK Financial and retail institutions Large corporate brokers Strong sales force Large volum e I ndependent brokers brokers/ retailers Sales support infrastructure comprising 9 0 + branches to assist 3 0 ,0 0 0 + independent brokers 3
SULAMÉRICA – REVENUES BREAKDOWN Opportunity and growth Total Consolidated Revenues I nsurance Revenue (% of total – 9M16) (% of total – 9M16) Non I nsurance 2 .3 % 1 .0 % Revenue 2 .2 % 2 .9 % 1 .2 % 1 .0 % ( 4 .1 % ) 2 0 .5 % R$ 1 2 .5 R$ 1 2 .0 1 9 .7 % billion billion 7 3 .0 % I nsurance 7 6 .1 % Revenue ( 9 5 .9 % ) Health & Dental Auto Other Property & Casualty Life Private Pension Other 4
SERVICE NETWORK & OPERATIONAL HIGHLIGHTS Highly scalable businesses 2.1 8.7 1.4 Text messages Online Calls client/ broker exchanged fielded chats engaged million million million 4.3 IVR 2 900 Interactive Broker’s portal Mobile Apps Voice response connections users registered million million thousand 400 Transaction 540 per day 1.2 DATA SERVERS thousand Terabytes thousand in cloud
Operations & IT Guidelines • Strong strategy of inform ation security with focus mainly for healthcare data of almost 3 million customers; • Transfering the most important services to Mobile services , mainly in products of Health, Car and Homeowners; Incorporating analytical and predictive models for claim control; • • Understanding the impact of the new models of collection for the insurance market ( Bitcoin , Blockchain, etc.. ); I oT as an important influencer in insurance prices (wearables, • I waze, home monitoring, etc … ); Introducing Machine Learning and Text Mining for attendance; • Deployment of the Salesforce operational CRM for all products; •
Main Projects Operational CRM than 1 ,6 0 0 people in Platform Engagement People 9.000 18.000 12 3.535 140 +41.000 HOURS OF PORTAL VIDEOS CHATTER’S CHATTER’S CHATTER’S TRAINING ACCESS POSTED USERS GROUP INTERACTIONS
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