Financial Services companies must overcome the challenges of remaining profitable by delivering operational efficiency and guarding against growing competition from Fintech and Insurtech. To stay competitive, Financial Services enterprises are investing in digital & technology transformation including seeking data-driven banking data analytics and AI solutions and services. However, some challenges remain.
Regulatory compliance
Faced with market regulations such as MAR/MiFID/Dodd Frank, banks are looking at regulatory reporting holistically and seeking to standardize & digitize processes to improve governance & compliance.
Data quality is poor
With banking data siloed across multiple systems, there is no single source of truth. Siloed data prevents a 360-degree view of the end customers and their needs and the ability to deliver personalized products and services. Multiple data hand-offs increase the costs of storage and exchange, introducing errors and inefficiencies
Return on tech investment is low
Significant spending on IT and technology to maintain legacy applications and infrastructure results in a slower pace of delivering new features to end customers. Duplication of business processes and IT systems increases technology debt and maintenance costs.
To compete in the highly regulated and fiercely competitive space, enterprises that provide Financial Consultancy Services and Financial Management Services need clear and individualized visibility of their end customers. Having a 360-degree end-customer view allows banks and insurance companies to focus on providing real-time, intelligent, and context-aware experiences. AI/ML-based data analytics in financial services enables businesses to understand the power of context and deliver an effective Banking-as-a-Service (BaaS) strategy.
Bank on speed and efficiency with our AI-driven solutions for Financial Services
At Tredence, we go beyond possible to deliver insights at the decision points to help you drive smart banking. With exponential data volume growth in banking data and throughput needs for business processes, Financial Services enterprises can benefit from Tredence’s data-driven, disruptive and enhanced value proposition to deliver speed, scalability, and performance. By adopting our custom advanced AI/ ML financial services analytics solutions, enterprises can achieve business outcomes such as enriching customer experience, gaining a competitive edge, and achieving operational efficiencies.
Drive quality and efficiency in every transaction with AI-powered financial services analytics to control costs, increase productivity, and boost margins.
New dynamic, customer-driven business models to power accelerated and long-term growth. With data-driven solutioning, we guide you to build solutions for use cases across digital banking, AI assistants, smart wealth, self-service, fraud detection, and more. We help establish innovation centers and rapid test-and-learn platforms using our proprietary accelerators to demonstrate ROI and value to the business. We also ensure compliance and risk mitigation with robust frameworks to monitor market risk and behavior, while improving data sharing between banks and regulatory bodies.
Data engineering to unlock the power of your data, helping you implement and operate complex data platforms with a focus on reducing cost, optimizing operational efficiency, and maximizing ROI. We guide you on the right technology architecture to meet your specific business objectives, and our team works with you to migrate your banking data from legacy platforms to a modern technology stack. We enable API-based open banking to access data seamlessly and build models. Our data management, data analytics, and managed services provide accelerators that clean your data, harmonize information, speed up delivery, and continually optimize your environment to minimize costs.
Our Data migration accelerators aid enterprises to unlock the power of their data and help migrate to a modern, cloud-native architecture. Tredence has a proven track record of helping global financial organizations with large-scale data migration initiatives and accelerating modernization ROI by partnering with leading hyperscalers and data and AI companies. Our services and accelerators enable 50% faster migration and help achieve modernization goals of improved insights, increased productivity and self- service.
Powering systems of the future with AI to leverage emerging trends like open banking, Buy Now Pay Later models, etc. Apply AI/ML-based customer data analytics in financial services for propensity modeling, cross-sell/upsell recommendations, customer lifetime value creation, and more. We help businesses build an innovation-first ecosystem for CX and engagement to drive revenue over time. We also enable re-bundling of services through tight-knit integrations to power growth by creating a complete 360-degree view of customer data across channels, products, and other previously siloed data. Our expertise lies in empowering Financial Services players to leverage inter-and intra-value chain opportunities, enabling banks to get hard returns on CX programs by managing huge volumes of data at record speed to derive valuable insights from it.
Leverage Tredence’s data-driven solutions to quickly establish data governance, drive actionable customer insights, mitigate risks, and do more across the financial services space. Stay miles ahead with the latest market trends that go beyond traditional reports and views, and extract key ESG initiatives to sustain value.
Modernized Risk Management helps you identify, forecast, and preemptively mitigate issues at risk in business operations. Establish data governance and compliance with regulations by unifying your financial data. Manage risks proactively using real-time insights along with stakeholders on the same page.
Fraud Prevention using predictive analytics helps you in seamlessly preventing and detecting frauds or errors in conjunction with other tools such as business rules and intelligence. Leverage modernized tools like geospatial clustering, rule-based AI, and more to detect and prevent fraud in credit cards, insurance, and others.
Alternative Data for investment and competitiveness helps you stay ahead with insights into the latest market behavior and trends. Go beyond financial reports and analyst views by unlocking the full potential of relevant data across social media, news, and other events with our solutions.
Data-driven ESG offers objective and transparent insights into investing in the right material environmental, social, and governance initiatives like green bonds or green energy. Identify ESG risks and opportunities by integrating your end-to-end workflow through ESG data, unique analysis, and advanced data analytics tools with our expertise.
The Tredence advantage
Build resilience in a competitive landscape
leveraging our decades of experience in focusing on BFSI-specific challenges
Maximize efficiency
with AI use-case identification, model development and operationalization for complex Financial Services ecosystems
Improve time to value
by leveraging our proprietary suite of accelerators and the expertise of our 1500+ data scientists