Transformational Tracks

Track 1

Transforming Customer Experience

Data & AI

Track 2

Core-as-a-service

Track 3

Integration & Automation

Track 4

Infrastructure-as-a-service

Track 5

Security-as-a-service

Track 6

Track 1

Transforming Customer Engagement

Problem – Lack of consistency, user experience,omni channel, digital banking experience

Our Solution

Mobilizing,digitizing and integrating all customer touch-points with smart analytics andartificial intelligence.Singleconsolidated platform to support;

  • Next-gen integrated apps
  • Aggregated, account, transaction andpayment services supporting Multi-Core/Vendor integrations
  • Business Intelligence functions supportedby analytics, machine learning and predictive modelling
  • Secure and open API management
  • Fast and agile development and testing

Outcome

Complete new DIGITAL business, Seamless & frictionless lifestyle banking experience, capability to create/launch quick digital products bundled with personalized rates, rewards etc.

Track 2

Integration & Automation

Problem – Talking to legacy and newer systems, costly human errors and time-consuming manual complications and reporting, Lack of efficiency in customer service

Our Solution

  • API Layer enabled for Open Banking& Bank 4.0
  • Human tasks Digitization
  • API Monetization
  • Micro-service Component Layer
  • Intelligent Process Automation

Outcome

Help to simplify interfaces and standardize components. Lowers investments and lifecycle costs. Alsoto provide higher level of system availability, reliability, safety and security.

Track 3

Data & AI

Problem – Bank has many sub systems which independently generates huge chunks of data. With the lack of enterprise-wide initiative to streamline data into one platform creates inefficiencies in business intelligence while also increasing the cost and storage requirements for maintaining these data.

Our Solution

  • Legacy Data Migration
  • Data Lake (On-premise & Cloud)
  • Business Intelligence
  • Advanced Analytics
  • Explainable Artificial Intelligence

Outcome

Execution of enterprise-wide data lake to transform structured and unstructured data into one single platform .Furthermore, on-top-of this platform, bank will be enabled as a power user to create and derive own business intelligence. This will greatly improve cost in infrastructure modernization for daily increasing data volumes and improve efficiencies in various reporting requirements while minimizing partner dependencies.

Track 4

Core-as-a-Service

Problem – Legacy systems, unavailability of APIs and digital product capabilities. Consumer demands are increasing, and bank need to be creative and innovative to launch quick products as-and-when the market demands. Without a Digitalized Core banking platform it is difficult to be in the competitive edge and be compliant with OpenBanking standards. If not, market share will be lost, and customers attract for competitors.

Our Solution

Outcome

Availability and flexibility of product catalog to add or append products and quickly launch them in various channels of customer touch-points. Continuous Improvement & Continuous Deployment approach allows bank to introduce any service without affecting existing channel experience of the customer. This will greatly reduce cost for relying with partner and bank has the flexibility at the fingertip to do innovations. Additionally, elasticity of the modules allows bank to procure core banking features when ever the requirement arise.  

Track 5

Infrastructure-as-a-Service

Problem – Can the existing infrastructure accommodate the growing demands on digitization of banking infrastructure with legacy architectures that were industry standards decades ago when Cloud Native Microservices were not in mass adoption ?

Our Solution

Outcome

Highly available and resilient infrastructure built on industry standards and layered approach that is designed from the ground up to seamlessly integrate with On-Premises Datacenters and Public Clouds. Reducing the waiting time for resource provisioning through self-provisioning through Orchestration and Automation, multi-tenancy to segregate different domains for regulatory compliances. Security at all layers and end to end monitoring and metering.

Track 6

Security-as-a-Service

ProblemDefense in Depth with micro segmentation and zero-trust policies add the foundation for security while Data Loss Prevention will be a key component in protecting personally identifiable information(PII). Vulnerability scanning starting from image repositories and protecting both on-premises and cloud datacenters with end points protection through Security Orchestration and Automation Response architecture will provide near real time visibility to the Security landscape.

Our Solution

Outcome

Defense in Depth with micro segmentation and zero-trust policies add the foundation for security while Data Loss Prevention will be a key component in protecting personally identifiable information(PII). Vulnerability scanning starting from image repositories and protecting both on-premises and cloud datacenters with end points protection through Security Orchestration and Automation Response architecture will provide near real time visibility to the Security landscape.