Next-generation financial services powered by cloud#PositiveImpact
In partnership with
Deutsche Bank and Google Cloud have finalised a strategic, multi-year partnership to accelerate the bank’s transition to the cloud and co-innovate new products and services. It is the first partnership of this kind for the financial services industry.
For Deutsche Bank’s clients, the agreement will reshape how products and services are designed and delivered. With faster application development and the use of advanced artificial intelligence and data analytics tools, the bank will be able to respond more flexibly and accurately to the most pressing challenges, trends and client needs.
Benefits of cloud
Moving to the public cloud has a number of benefits, including:
- Scalability: Capability to scale elastically, delivering the right amount of IT resources when it is needed, at the right geographic location.
- Reduced maintenance effort: Cloud providers manage all administrative tasks (e.g. patching of servers) and deliver an up-to-date, fully compliant environment including back-ups, replication, and disaster recovery.
- Cost effectiveness: Flexible price structures – you pay for what you use.
- Developer productivity: Public cloud provides pre-engineered, standardised services ready for consumption e.g. for compute, database and application hosting. Automation and self-service are built in by default.
- Security: Cloud providers invest heavily in cyber security capabilities.
Data privacy and security
Deutsche Bank has an uncompromising focus on data privacy and security to safeguard customer data and Deutsche Bank’s information assets. The bank will conform to privacy and data protection regulations in its use of public cloud services, including Data Jurisdiction, Data Processing and Data Access.
We continuously evaluate both the security capability of our vendors and our internal cloud security policies to ensure we operate in the safest possible environment.
Deutsche Bank can choose in which data centre region in scope applications are being deployed to cater for data location preferences or rules. Deutsche Bank applications will encrypt data at rest and in transit. Google Cloud will provide Deutsche Bank with functionality to allow the bank to manage its encryption keys.
Bringing the partnership to life
The transition to the public cloud is an exciting development for Deutsche Bank’s businesses and infrastructure areas. Moving in scope applications to the public cloud environment allows Deutsche Bank areas to dynamically scale infrastructure up or down to meet demand, something which is essential in a more digital world. Eliminating the overhead of managing legacy infrastructure will allow the bank’s engineering community to spend more time coding, increasing developer productivity, reducing time to market for new applications and shortening release cycles across our platform. Google’s suite of data analytics will enable Deutsche Bank to continue to develop innovative solutions which are driven by the latest advances in artificial intelligence and big data analysis.
A number of potential use cases are already being explored – a selection of which can be found below.
The CEO view
Watch Christian Sewing and Sundar Pichai discuss the benefits of the strategic partnership between Deutsche Bank and Google Cloud.
Listen to Rob Enslin (Google) and Bernd Leukert (Deutsche Bank) discuss the strategic partnership between the two companies, and what it means for financial services
Bernd Leukert message to staff
Asset-as-a-service: Supporting asset producers and users in moving to a pay-per-use model. This provides flexibility for the users (e.g. leasing machinery rather than buying it), removes large, upfront expenditure and moves assets off balance sheet
- Example: A manufacturer sells metered usage of the equipment instead of selling the equipment.
Cash flow forecasting: Using state-of-the-art AI techniques to analyse and more accurately predict future cash flows
- Example: A core part of a treasurer’s financial planning – ensuring that a business understands how much cash it will need in future
Digital payment gateway: A digital payment platform for e-commerce that seamlessly connects digital business models, payment processors and banking services, allowing customers to accept and manage online payments globally and securely
- Example: A smoother user experience during the checkout phase of online shopping and a seamless workflow for the client from the point of checkout
Data Factory: A powerful, scalable platform for all our data assets which will have modern, analytical, Machine Learning, and AI capabilities that can be used by the business to deliver innovation use cases and solve business challenges
Quant research platform: Large-scale data storage and computation capabilities to enable faster querying of complex trading and market data sets. This will enable continuous improvements to liquidity provision, analytics, and access to market - particularly in electronic flow products
- Example: Eliminate the need for in-house public market data capture and allow access to a full population of raw market data direct from market data owners. The hyper-scale nature of the cloud would allow DB to source computational capacity up and down only as required
Autobahn Analytics: Data driven optimisation of user experience on award-winning electronic platform, Autobahn, based on a deep understanding of client workflow. More focused investments on most used products & features.
- Click-stream tracking and analysis of user activity will enable user experience professionals and product managers to design products with simplified user journeys, eliminate frustrations and understand where workflow needs to be better connected across products and platforms
Online banking: Digital, multi-branded banking platform for Germany’s Deutsche Bank and Postbank customers providing overview of complete cross-brand customer product portfolio, easy to use functionality with state-of-the-art user experience, services, digital products and real-time processes
- Example: Easy login through One-ID, seeing all products in one place experiencing easy to use functionality
RiskFinder: A platform that provides capability for bank-wide portfolio analytics, scenario analysis and regulatory capital management
- Example: Provision of white-labelled risk calculation services to external financial institutions in a cloud-based model
Natural Language Processing (NLP): A platform to facilitate NLP-based analysis of news and other text for Deutsche Bank, providing enhanced early warning capability, market data & metric anomaly analysis and rationalisation
- Example: Reduces manual work, reduces operational risk, allows the bank to analyse Economic, geo-political, Environmental Social and Governance (ESG) news and text sources historically and in real time to flag evolving topics and associated sentiment changes, and relate them to DB clients, market exposure, funding/liquidity and other areas to proactively take action
Enterprise Risk Management (ERM) Services: A single portal that provides services for all ERM functions (e.g. risk appetite, recovery planning, resolution planning)
- Example: ERM run numerous bankwide exercises that can be cyclical with bursts of usage (annual Risk Appetite statement – 30 Business lines, 100+ users spanning DB group). Google Cloud will allow us to scale up/down with ease.
Capital, Control Operations (CCO) platform: Facilitates the exchange of clean data between divisions through the use of Enterprise Data Standards.