An Operational Data Layer is Critical for Transformative Banking Applications

discuss how DataStax Enterprise, the data management platform trusted by 9 out of the top 15 global banks, enables innovation and industry transformation. They’ll cover how the right data management platform can help break down data silos and modernize old systems of record as an operational data layer that scales to meet the distributed, real-time, always available demands of the enterprise. Register now to learn how the right data management platform allows you to power innovative banking applications, gain instant insight into comprehensive customer interactions, and beat fraud before it happens.
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1.An Operational Data Layer is Critical for Transformative Banking Applications Richard Henderson Solution Engineer DataStax

2.Todays Agenda • Introduction • Who DataStax are • Why transformation is needed • Customer success stories • The key requirements • The common features that meet those requirements • Where the solution lives in your architecture • How it should be implemented • Why it also works internally • Live Q & A

3.Some of our customers

4. In a rapidly evolving world… accelerates expectations © 2017 DataStax, All Rights Reserved. Company Confidential

5.You must respond Regulatory change User Non-traditional Players Expectations (Fintechs, And Behaviours Challenger Banks)

6.The Opportunity is now! Requirements: • Present the data we already have to customer applications. • Combine deep analytics with session data (“fast analytics”) to provide intelligent predictions to applications. • Present the data we already have to internal applications. • Safely and efficiently expose the data we already have to 3rd parties. • Have unified data for a customer across products.

7. Macquarie THE CHALLENGE: Drive digital transformation initiatives to enhance customer experience. • Transformed from no retail presence to a digital consumer banking leader in less than 2 years. • Macquarie used DSE as the core of a operational data-layer to enhance rather than replace. • Consolidated data from many existing disparate systems delivers 360o, real-time customer visibility. • Their world-class consumer banking app utilizes real-time analytics and full text search 7

8. ING Focuses on Customer Experience and Micro-Services THE CHALLENGE: Availability. • Focusing on customer experience ING has moved to a active-active and having an always-on architecture. touch-point architecture based increasingly on micro- services • Need for availability, consistency, and scalability • Lots of small use cases, DevOps teams, no ephemeral storage • 12 clusters (4/5 environments) • Cassandra eases availability challenges by being © DataStax, All Rights Reserved.

9.Banking Transformation with an Operational Data Layer

10.Requirement Zero: Be Demonstrably Secure

11. DSE advanced security features ● At-rest Transparent Data Encryption ● Authorization ○ Local Key ○ Role Based Access Control ○ External Key Manager via KMIP ○ Internal Role Management ○ Configuration Value Encryption ○ External Role Management ○ System Info Encryption ○ Row Level Access Control ● Authentication ● In-flight Encryption ○ Internal or Password Authentication ○ Inter-node SSL ○ Kerberos Authentication ○ client-to-node SSL ○ LDAP Authentication ● Auditing ○ Unified Authenticator ● OpsCenter Security ○ Proxy Authentication © DataStax, All Rights Reserved.

12. Transformative banking applications have these qualities CONTEXTUAL ALWAYS-ON REAL-TIME DISTRIBUTED SCALABLE © 2017 DataStax, All Rights Reserved. Company Confidential

13. Where the operational data layer lives New Web Application Applications ? Bank App Open API ? 3rd Party 24/7/365 Expectations Embedded Search Scalable Low Latency Secure Data Exposure © DataStax, All Rights Reserved.

14. Don’t just add an API gateway and a search engine Separate New Search Web Application Applications Bank App Application Integration Open API Service 3rd Party 24/7/365 Expectations Embedded Search Batch/Mostly Available More Complexity Scalable Low Latency Secure Data Exposure High Cost Scale Up Front Directly Exposed Data © DataStax, All Rights Reserved.

15. Add a simple integrated operational data layer New Web Operational Application Applications Data Layer Bank App Dataset per Customer Customer Open API Embedded 3rd Party Search 24/7/365 Expectations Embedded Search 100% Always On Integrated Search Scalable Low Latency Secure Data Exposure Scale On Demand Isolated Datasets © DataStax, All Rights Reserved.

16. Reuse it inside the business New [Micro-] Web Operational Application Services Applications Data Layer Employee Bank App App Dataset per Service Employee Customer Internal Open APIAPI Embedded Search 3rd Party Peer Org 24/7/365 Expectations Embedded Search 100% Always On Integrated Search Scalable Low Latency Secure Data Exposure Scale On Demand Isolated Datasets © DataStax, All Rights Reserved.

17. The full-scale architecture with analytics New Web Application Operational Applications Data Layer Batch Fast-path Analytics New Analytics [Micro-] Application Services Multi-model Event API Embedded Search 24/7/365 expectations Contextual/Personal 100% Always On Combine Session and History Mega writes / s Real-time/Responsive Scalable write Online Stream Analytics © DataStax, All Rights Reserved.

18. Unify your data House Mortgage Bank Account Life Cover Insurance © DataStax, All Rights Reserved.

19. DataStax Enterprise Always On, Multi-model, Mixed Workload, Scalable Data Layer Linear Scalability Geographically Distributed Continuously Available Instantaneously Responsive Integrated Search Integrated Operational Analytics © DataStax, All Rights Reserved.