Solution Guide. Why Data Management Matters for Bank of America

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1 Solution Guide Why Data Management Matters for Bank of America

2 CONTENTS Helping you do more for your customers, faster than your competitors... 3 Who is DataStax?...3 How DataStax and Bank of America are partnering today...3 How you can leverage DataStax to drive even more value...3 DataStax delivers the power behind the moment for investment banking...4 DataStax supports Bank of America and Merrill Lynch with:...4 Why DataStax Enterprise?...5 Data management done right...6 Let s talk...6 Your dedicated team...6 2

3 HELPING YOU DO MORE FOR YOUR CUSTOMERS, FASTER THAN YOUR COMPETITORS In today s world, the faster you can provide customers with what they need through a holistic, secure experience, the better you compete. Your ability to optimize your enterprise with secure, real-time efficiency via distributed applications at scale is critical to remaining relevant in the banking and investment market. WHO IS DATASTAX? DataStax provides the always-on, distributed cloud database built on Apache Cassandra and designed for hybrid and multi-cloud. The foundation for real-time applications at massive scale, DataStax Enterprise makes it possible for companies to exceed expectations through consumer and enterprise applications that provide responsive and meaningful engagement to each customer wherever they go. Our product also gives businesses full data autonomy, allowing them to retain control and strategic ownership of their most valuable asset in a hybrid cloud world. HOW DATASTAX AND BANK OF AMERICA ARE PARTNERING TODAY DataStax and Bank of America have partnered successfully to deliver a more secure experience for Bank of America s consumer banking customers by providing an authentication engine, fraud detection capabilities, and offers management. HOW YOU CAN LEVERAGE DATASTAX TO DRIVE EVEN MORE VALUE Customer experience continues to remain a key differentiator for Bank of America, and just as consumers have benefited from a better customer experience, Merrill Lynch s investment banking consumers also stand to benefit. How? Through: NN NN NN Customer 360, which gives you holistic, real-time view of your every customer Personalization and recommendations, which deliver relevant and timely content to customers and make every customer feel like your only customer Consumer fraud detection, which identifies suspected fraudulent activities at real-time speed and protects both you and your customers from costly fines and losses The applications you provide to investment consumers and brokers depend on the real-time data that underlies them. DataStax Enterprise (DSE), a unified data layer of database, search, and analytics is the only hybrid cloud data management layer that allows enterprises to meet the contextual, always-on, real-time, distributed, and scalable requirements of applications in the right-now economy. 3

4 Today s investment consumers expect Merrill Lynch to know them, anticipate their needs and life events that trigger investment opportunities, be always-available, and keep the investment process secure at every touchpoint. DATASTAX DELIVERS THE POWER BEHIND THE MOMENT FOR INVESTMENT BANKING Investment transactions produce billions of moments every second moments that are made up of data. Data stays reliable when it s powered by an always-on data management platform. Every moment, Merrill Lynch customers and brokers generate huge volumes of data that must be processed securely. Datastax Enterprise provides the platform to process data and create truly personalized, secure experiences for consumers and brokers. DATASTAX SUPPORTS BANK OF AMERICA AND MERRILL LYNCH WITH: INVESTMENT BANKING CONSUMER BANKING Trade Desk Project/ML Global - Internal compliance application project on high net trading customers. Venom - Fraud Detection, Authentication HUB, ERICA (Online Chat), Offer Management (Credit Card Digital Offers) To perform well, cloud applications need to be: Contextual Always-On Real-Time Distributed Scalable 4

5 WHY DATASTAX ENTERPRISE? DataStax Enterprise provides full multi-model functionality (key-value, tabular JSON, and graph) and simplified management for enterprise-wide, always-on data management. Having one vendor and one platform vs. multiple vendors and platforms simplifies IT development and administration and reduces cost. Graph is particularly important for banking, helping to identify both opportunities and fraud. DSE delivers the most sophisticated scale-out, graph capability on the market, complete with visual management and development. Built on the best distribution of Apache Cassandra, DataStax Enterprise offers the complete selection of database management capabilities. Specifically, you get: Advanced Search : Powered by Apache Solr with built-in scalability and continuous availability and multidata center support. Advanced Analytics : Powered by Apache Spark for real-time streaming analytics. DSE Graph : Built on the Apache TinkerPop graph framework and leverages DSE s embedded search and analytics. DataStax OpsCenter : A visual, browser-based user interface that provides full lifecycle operations management with repairs, back-up/restoration, capacity service, best practices, and performance service. DSE In-Memory Option : Brings all the goodness of Cassandra to a simple, easy-to-use in-memory database that looks and acts like any Cassandra table and can be combined with in-memory analytics for a full in-memory transactional/ analytical processing framework. Tiered Storage : Allows you to automatically move data to different storage media based on defined criteria and helps reduce storage costs by relegating lesser-used or older data to less expensive storage devices. DSE Multi-Instance : Allows for simple deployment of multiple DSE instances on a single machine, reducing hardware cost and ensuring large hardware resources are effectively utilized for database applications. DSE Advanced Replication : Allows one-way replication from one edge cluster to another, centralized hub cluster. Enterprise-Grade Security : Includes data auditing, role-based access control, transparent data encryption of all DSE data at rest, and unified authentication. DataStax Expert Support : support for production and non-production environments, including health-checks, hot fixes, and bug fixes. 5

6 DATA MANAGEMENT DONE RIGHT When you re doing data management right, you re using it to drive innovation, top-line growth, and bottom-line results through the entire prism, across all lines of business not just in your customer-facing applications but also in critical business operations, Internet of Things, digital transformation, security, supply chain management, and more. On a broader and longer-reaching scale, great data management allows you to: Grow market share : By improving customer experience through a holistic view of interactions, trends, and relationships and delivering real-time personalization and recommendations. Drive greater efficiency : By interconnecting devices, data and people, and manage an explosion of high velocity dynamic information that is always available wherever you need it. Accelerate time to market : By leveraging products, services, training, and a robust partner ecosystem to build and manage cloud applications while eliminating complexity and risk. The most innovative and successful companies understand that success in the 21st century will be built on the data layer. With an always-on and nimble data foundation, there s no limit to what you can achieve. LET S TALK We d like to discuss how you can leverage DataStax to drive greater value and impact for your customers. YOUR DEDICATED TEAM Bank of America Stakeholders Donna Emilio Vice President e-commerce DBA donna.emilio@bankofamerica.com Abhay Nirgudkar Vice President - Systems abhay_nirgudkar@ml.com DataStax Dedicated Team John Nilsen Strategic Sales Manager john.nilsen@datastax.com Diana Mears Solutions Engineer diana.mears@datastax.com Michael Rains Premium Support Engineer michael.rains@datastax.com Lisa Krueger Customer Success Manager lisa.krueger@datastax.com

7 Solution Guide Why Data Management Matters for Bank of America