금융권 big data 쉽게 도입 하기 :: Stire Craig :: AWS Finance Seminar
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Three trends are driving financial services companies to invest in big data on AWS: new market demands from fintech entrants, the need for speed to deliver new services, and pressure to optimize costs. AWS provides scalable and cost-effective big data analytics services like Redshift, EMR, and S3 that help companies tackle these trends. Financial companies are building platforms on AWS to ingest, store, process, and analyze large volumes of data and gain business insights. This helps with goals like revenue lift, risk management, and supply chain efficiency. AWS's security and services allow sensitive financial data to be securely analyzed at scale to power innovation.
![New market
demands
Big Data and Analytics on AWS
Powering the financial services industry
Trends that are driving change in Financial Services
• Competitive landscape has shifted from Tier 1 / Tier 2 players to new
entrants. These new entrants focus on solving specific needs of
customers, rather than holistic financial services
• FinTech for payments, investment advice, forex
• Retail for insurance, lines of credit
• Telco for stored credit, transfers, payments
• The willingness of customers to diversify consumption of financial
services, is driven by availability of higher value / ease of access
• 66% of Millennials open to using a non-traditional provider for
financial service needs, 62% of Gen Xers, and 41% of baby boomers
[Raddon]
Customers moving to AWS Cloud for INNOVATION](https://image.slidesharecdn.com/4-160711013211/85/big-data-Stire-Craig-AWS-Finance-Seminar-4-320.jpg)
![Reprioritization
of spend
Big Data and Analytics on AWS
Powering the financial services industry
Trends that are driving change in Financial Services
• The cost models of financial services have changed.
"Around 15% of bank branches tip into unprofitability" [Economist]
• Physical operations within the business are being digitized, replaced,
or streamline to shift spend to value creation for customers
• Costs must fundamentally change to compete with digital providers
• Branch experience moved to mobile devices
• Machine learning to replace routine customer service
• Data centers significantly scaled down
• Overprovisioning of data processing capacity selectively
• Maintenance and administration of IT systems reduced
Customers moving to AWS Cloud for OPTIMIZATION](https://image.slidesharecdn.com/4-160711013211/85/big-data-Stire-Craig-AWS-Finance-Seminar-15-320.jpg)
금융권 big data 쉽게 도입 하기 :: Stire Craig :: AWS Finance Seminar
- 1. Big Data andAnalytics onAWS Poweringthe financialservices industry Craig Stires Head of Big Data and Analytics, AWS APAC Time : 11:20 – 11:50
- 2. Big Data and Analytics on AWS Powering the financial services industry AGENDA • What is driving Big Data investments in financial services • Building a value-focused data and analytics platform
- 3. Big Data and Analytics on AWS Powering the financial services industry Three trends that have brought FSI customers to AWS
- 4. New market demands Big Data and Analytics on AWS Powering the financial services industry Trends that are driving change in Financial Services • Competitive landscape has shifted from Tier 1 / Tier 2 players to new entrants. These new entrants focus on solving specific needs of customers, rather than holistic financial services • FinTech for payments, investment advice, forex • Retail for insurance, lines of credit • Telco for stored credit, transfers, payments • The willingness of customers to diversify consumption of financial services, is driven by availability of higher value / ease of access • 66% of Millennials open to using a non-traditional provider for financial service needs, 62% of Gen Xers, and 41% of baby boomers [Raddon] Customers moving to AWS Cloud for INNOVATION
- 6. ” “ • Stripe wants to make it easier than ever for developers to process payments on their web and mobile applications • Stripe has delivered its PCI-compliant payment platform entirely on AWS, relying on the security best practices as well as easy auditability of the AWS platform • Key AWS technologies are VPC for security and compliance and Redshift for petabyte- scale data warehousing Stripe securely vaults credit cards and analyzes payments on AWS Stripe now processes billions of dollars a year for thousands of businesses, from newly-launched start- ups to Fortune 500 companies. It is based in San Francisco, CA. AWS operates at a scale and sophistication that we could never hope to reach on our own. Jorge Ortiz Manager of Infrastructure ” “
- 8. ” “ • Robinhood’s lean staff used AWS to create a massively scalable securities trading app with strong built-in security and compliance features that supported hundreds of thousands of users at launch • Saved customers $22 million in commissions since launch, and transacted over $1 billion. All of this scaled up with 2 DevOps resources • Amazon Redshift has allowed the data science team to identify fraud and fight money laundering, without needing to hire a data science infrastructure team Robinhood Launches Popular No-fee Brokerage Trading Platform on AWS Robinhood is an investment platform that offers free trades for everyone. It is based in Palo Alto, CA. We can look at real-time analytics and behaviors on our platform, that wouldn't be available at our scale if we weren't using AWS. ” “ Miles Wellesley Head of Business Development
- 9. Speed to deliver Big Data and Analytics on AWS Powering the financial services industry Trends that are driving change in Financial Services • Speed to roll out new services should be measured in weeks, not months • Responding to customer requirements must be fast and effective, or risk reputation loss through social channels • Customer/market acquisition through traditional means is far too expensive. It can cost 5X to acquire a new customer, compared to retaining an existing one • Business users must be able to move from recognizing an opportunity to enablement to execution, without IT bottlenecks Customers moving to AWS Cloud for AGILITY
- 10. Regulator for all securities firms in USA Financial Industry Regulatory Authority - an independent, nongovernmental regulator. Protects investors by regulating brokers and by monitoring trading Monitors over 6 billion shares traded on the stock market each day Handles more “big data” on a daily basis than the Library of Congress or Visa® - to build a holistic picture of the trading market https://aws.amazon.com/solutions/case-studies/finra/
- 11. ” “ • Wanted a platform to provide greater speed and scalability for analyzing petabyte-scale data • Migrating mission-critical operations to AWS • Can provide analysts with real-time access to 75 billion records collected daily • Can move faster, more efficiently in serving core business processes FINRA Performs Daily Petabyte-Scale Analysis on Trading Data Using AWS The Financial Industry Regulatory Authority (FINRA) is the largest independent regulatory authority in the United States. It is based in Washington, D.C. We chose AWS to deliver innovation at a much larger scale and much faster to our core business. Saman Michael Far Sr. Vice President of Technology ” “
- 12. Operates financial exchanges around the world Leading stock index provider with 41,000+ INDEXES across asset classes and geographies Provides technology, trading, intelligence, surveillance, and listing services 100+ data product offerings supporting 2.5+ million investment professionals and users in 98 countries
- 13. They wanted to accelerate innovation and time to market, and also lower their data warehouse costs without compromising on performance of their analytics tools and services, or jeopardize the security of the sensitive data they collect. • Costly legacy warehouse ($1.16M /yr) • Limited capacity (1 year of data) • High volume of data (4-8B rows daily) • Disparate historical data sources OUR GLOBAL PLATFORM CAN HANDLE MORE THAN 1 MILLION MESSAGES/SECOND AT SUB-40 MICROSECONDS AVERAGE SPEEDS
- 14. Ingest/ Collect Consume/ visualize Store Process/ analyze Data 1 4 0 9 5 Amazon Direct Connect Amazon S3 Data lake Amazon RedShift virtual private cloud Answers & Insights Amazon SNS Amazon SQS Client Alerts End of day analysis Listed companies reports Trade anamolies … Daily trades
- 15. Reprioritization of spend Big Data and Analytics on AWS Powering the financial services industry Trends that are driving change in Financial Services • The cost models of financial services have changed. "Around 15% of bank branches tip into unprofitability" [Economist] • Physical operations within the business are being digitized, replaced, or streamline to shift spend to value creation for customers • Costs must fundamentally change to compete with digital providers • Branch experience moved to mobile devices • Machine learning to replace routine customer service • Data centers significantly scaled down • Overprovisioning of data processing capacity selectively • Maintenance and administration of IT systems reduced Customers moving to AWS Cloud for OPTIMIZATION
- 16. Suncorp is moving "all-in" on cloud. Insurance Policy Insurance Claim Core Banking Life Admin
- 17. Ingest/ Collect Consume/ visualize Store Process/ analyze Data 1 4 0 9 5 Amazon S3 Data storage Amazon EMR Amazon RedShift Answers & Insights Extend life of legacy systems Break tight dependency of business users to legacy data systems Self-service BI / analytics Data exploration Data modeling Unstructured data usage … Transactions CRM Common Modernization / Offload Pattern Data warehouse Amazon EMR Amazon S3 Data storage BI / Reporting
- 18. Big Data and Analytics on AWS Powering the financial services industry AGENDA • What is driving Big Data investments in financial services • Building a value-focused data and analytics platform
- 19. A platform to build business outcomes from data Purchases Movement Influence Ingest/ Collect Consume/ visualize Store Process/ analyze 1 4 0 9 5 Revenue Lift Market acquisition Customer delight Brand advocacy Risk management Inventory optimization Supply chain efficiency ... Big Data and Analytics on AWS Powering the financial services industry
- 20. Amazon Redshift Amazon Elastic MapReduce Data Warehouse Semi-structured Amazon Glacier Use an optimal combination of highly interoperable services Amazon Simple Storage Service Data Storage Archive Amazon DynamoDB Amazon Machine Learning Amazon Kinesis NoSQL Predictive Models Other AppsStreaming Big Data and Analytics on AWS Powering the financial services industry
- 21. Administration & Security Access Control Identity Management Key Management & Storage Monitoring & Logs Resource & Usage Auditing Platform Services Analytics App Services Developer Tools & Operations Mobile Services Data Pipelines Data Warehouse Hadoop Real-time Streaming Data Application Lifecycle Management Containers Deployment DevOps Event-driven Computing Resource Templates Identity Mobile Analytics Push Notifications Sync App Streaming Email Queuing & Notifications Search Transcoding Workflow Core Services CDN Compute (VMs, Auto-scaling & Load Balancing) Databases (Relational, NoSQL, Caching) Networking (VPC, DX, DNS) Storage (Object, Block and Archival) Infrastructure Availability Zones Points of Presence Regions Enterprise Applications Business Email Sharing & Collaboration Virtual Desktop Technical & Business Support Account Management Partner Ecosystem Professional Services Security & Pricing Reports Solutions Architects Support Training & Certification Big Data and Analytics on AWS Powering the financial services industry
- 22. Big Data and Analytics on AWS Powering the financial services industry Trusted by Global Financial Services Institutions & Enterprises
- 23. Big Data and Analytics on AWS Powering the financial services industry How would you like to take your business forward today? New market demands INNOVATION Speed to deliver AGILITY Reprioritization of spend OPTIMIZATION
- 24. Thank you