FAQ
Have Any Questions?
FAQ's
Why Agile Architecture
While Agile methodologies have been around for decades, doing Agile right is far from easy.
Benefit of Strategy Mapping and cross mapping to Line of business.
Role of Business Architecture in achieving objectives
Architecture has often been overlooked in agile transformation, being misinterpreted as a figment of waterfall delivery.
Without business architecture, Business can not be the driver and IT can not be true enabler to business. You will lose focus of business strategy.
Business Architecture enables cross mapping Vision & Objectives to value streams, lines of business, initiatives and capabilities to enable traceability and transparency.
Mature EA plays an essential role in ensuring that business service architecture can be streamlined with IT service delivery. Without this alignment organizations will find themselves with a runaway sprawl of technologies, duplicative competing platforms, and mismatched alignment of IT spending.
What is BAAS
Banking as a service is enabled by integration of financial services and products ino other kinds of customer activities, typically on non-financial digital platforms.
Banking as a Service (BaaS) offers complete banking processes, such as payments or credit, as a service through modern API-driven platforms.
Banking as a Service (BaaS) is the provision of complete banking processes (such as loans, payments or deposit accounts) as a service using an existing licensed bank’s secure and regulated infrastructure with modern API-driven platforms.
By providing bank-critical software as a service, modern banking platforms bring licence holders significantly increased speed to market, Examples (below)
Pay per API call or successful swipe
Flat-rate, agreed in partnership terms
Banks offer a percentage of interchange to partners
What are GPU accelerated Databases
GPU accelerated database help run massively parallelise database jobs when run on dedicated GPU hardware. Big Data challenges represent the ability to easily access the huge quantities of risk result information that are generated daily across many financial services firms without losing fidelity through aggregation.
GPU accelerated database offer vast performance increases over both traditional and Big Data style SQL database solution.
GPU accelerated database help run massively parallelise database jobs when run on dedicated GPU hardware. Big Data challenges represent the ability to easily access the huge quantities of risk result information that are generated daily across many financial services firms without losing fidelity through aggregation.
GPU accelerated database offer vast performance increases over both traditional and Big Data style SQL database solution.
How to create IT cost model
One of the practical ways is to gathering and combining data from different parties, applications, servers and technology services and ties those details to the commercial data that acts an input to run the IT landscape.
These costs that are directly attributed to applications and underpinning IT services can then be mapped to business units and business capabilities.
Note: have a very clear distinction between costs directly attributable to applications and those to infrastructure service for realistic estimates.
What are different stages / journeys of a Bank’s evolution
Existing | Short to Mid term | Long Term |
Currently viewed as seller of products such as investments, loans and mortgages.
Focus is on building a single view of customers across the organization. Manage customer experience over their own channels and do not integrate with Third-Party Providers (TPPs)
| Banking-as-a-service Adoption of APIs and move to open banking. Provides an as-a-service platform to help TPPs integrate seamlessly with back-office of banks Focus is on externalizing single view of customers for TPPs Manage customer experience over their own channels however have limited influence on services provided over TPP’s channels
| Banking-as-a-lifestyle Banking will be cash free, ubiquitous, and part of day-to-day lifestyle Banks will move upstream and will integrate with allied businesses. They will be able to influence customer experience across all channels (self as well as TPP owned) Technology landscape will be defined through a customer-centric IT strategy and enabled by APIs, analytics, cloud, and microservices
|
Common Challenges in Daa Processing in Financial Serices
- Data silos caused by organizational structures
- The increasing need for real-time processing
- Always-on availability and performance
- In-consistency of data
- Transition from mainframes to distributed workloads
- Processing data for AI/ML in real-time
Data Handling and Processing in Traditional Archiecres
- Not designed for extreme real-time workloads
- Concentrates on data integrity over performance
- Vertical scaling
- Built for persistence and batch processing
- Not in-memory
- Slower response when implemented for real-time feedback
- Caching layers built on top of operational layers
Where NoSQL Daabases Fix in Financial Services
- NoSQL databases are better equipped to handle larger data sets •
- Ease of handling both structured and unstructured data formats •
- High-performance handling thereby designed for real-time feedback at web-scale •
- Built to connect legacy systems with newer and faster front-end systems •
- Built to drive two-paced development of modern architectures •
- Can scale better horizontally as the data grows •
- Easier and faster to implement compared to traditional databases •
- Support for better performance handling
Opportunities and Business Benefits That Can Be Derived from NoSQL Databases
- Improved fraud prevention and financial crime monitoring
- Real-time digital ID validation
- Personalized offerings using improved real-time data analytics
- Targeted marketing
- Pre-trade assistance