Banking Analytics and Regulatory Compliance solutions
Our Banking Analytics and Regulatory Compliance Solutions
Sound banking analytics, risk management and regulatory compliance are vital in the financial services industry. By using advanced tools, analytics and machine learning models, banks and other financial institutions can analyze large amounts of data and identify potential risks and compliance issues. This can help them to proactively address potential compliance issues and meet regulatory requirements, and avoid reputational loss.
Profinch’s banking analytics and regulatory compliance services are designed to help banks and financial institutions get a better understanding of their data and identify any potential risk, compliance and governance issues.
OFSAA, or Oracle Financial Services Analytical Applications, enables banks to measure and meet risk-adjusted performance objectives, build a transparent risk management approach, optimize compliance and regulation costs, and deliver customer-plus business insights.
Our Offerings
Application Implementation, Upgrade and Product Training
Domain Consulting and Risk Modelling
License Reselling
Product Maintenance and Support
Why Profinch is the most Fitting Choice for Banking Analytics and Regulatory Compliance Consulting?
- Deep Industry and Domain expertise with global Implementation, Upgrade and Consulting experience
- Certified personnel in Implementation, Upgrade, Training & Support
- Experience of integrating OFSAA with various Core Banking Systems
- Predefined processes, templates, questionnaires to support each phase of the project
- Cumulative experience of delivering more than 100 projects
- Implementation experience of over 25,000 man-days
Frequently Asked Questions (FAQs)
What are Banking Analytics and Regulatory Compliance Solutions?
Banking analytics refers to the use of data analysis and machine learning techniques to extract insights from data generated by the banking industry. This can include data from various functional areas, such as risk, regulatory compliance, transactional data, and more. Banking analytics can help banks to identify trends, patterns, and risks in their data, and make informed decisions based on this analysis.
Regulatory compliance solutions are tools and services that help banks and financial institutions to meet regulatory requirements and ensure compliance with relevant laws and regulations. These solutions can include software and systems for managing compliance risks, as well as services that provide guidance and support for compliance efforts.
Together, banking analytics and regulatory compliance solutions can help banks to improve their risk management practices, identify and address potential compliance issues, and ensure that they are meeting all relevant regulatory requirements. These solutions can help banks to reduce their risk of non-compliance and protect against financial losses.
What are the benefits of Profinch's Banking Analytics and Regulatory Compliance Solutions?
- Profinch follows the industry-recommended processes and tools for Banking Analytics and Regulatory Compliance solution.
- We provide quality process flow documentation.
- We help you remove redundant intermediate processes that slow you down.
- We help you move to a more centralised processing system.
- You can save cost and time efficient systems.
- Get better at risk management through optimum checks.
- Open new new delivery channels like USSD, Internet, Mobile and more.
- With our Digital Banking Solutions, you can build & retain customer relationships.
What are the advantages of Banking Analytics and Regulatory Compliance Solutions?
The advantages of using banking analytics and regulatory compliance solutions in the financial industry include:
Improved decision making: By using analytics to analyze data, banks can gain insights that can inform their decision-making processes. This can help them to make more informed and strategic decisions about their business operations.
Enhanced risk management: Banking analytics can help banks to identify potential risks and proactively address them, improving their risk management practices. Regulatory compliance solutions can help banks to meet regulatory requirements and reduce the risk of non-compliance.
Increased efficiency: Analytics can be used to streamline processes and identify inefficiencies, leading to increased efficiency. Regulatory compliance solutions can help banks to automate compliance processes, reducing the need for manual intervention.
Better customer service: By using analytics to analyze customer data, banks can gain insights into customer preferences and needs, and use this information to improve their customer service. This can help to build customer loyalty and drive business growth.
Cost savings: By using analytics to identify inefficiencies and automate processes, banks can reduce their operational costs. Regulatory compliance solutions can also help banks to reduce their compliance costs by automating compliance processes and reducing the risk of non-compliance.
Overall, banking analytics and regulatory compliance solutions can provide a range of advantages to financial institutions, including improved decision making, enhanced risk management, increased efficiency, better customer service, and cost savings.
What is OFSAA in banking?
OFSAA (Oracle Financial Services Analytical Applications) is a suite of analytical applications and tools developed by Oracle that is used by banks and other financial institutions to manage their data and perform financial analysis. OFSAA includes a range of applications and tools for tasks such as data management, risk management, financial reporting, and compliance.
OFSAA is designed to help financial institutions to extract insights from their data and make informed decisions about their business operations. It includes a range of features and capabilities, such as data integration, data modeling, analytics, and reporting, that can be used to analyze and visualize data from multiple sources. OFSAA is often used in conjunction with other financial systems and applications, such as enterprise resource planning (ERP) systems and customer relationship management (CRM) systems, to provide a comprehensive view of an organization’s data and operations.
