Real-Time Analytics For Banks
With digitization, banking products are now getting commoditized. There is a constant need for
each bank to remain exclusively unique and competent among its peers. The big data revolution,
since the 21st century, has taken even the banking sector by storm, starting from divulging money
movements to understanding consumer behavior.
Banks are now leveraging the power of data to realize various solutions like reputational risk
management, enhancing cyber security, gaining customer loyalty, product cross selling,
personalized marketing, etc.
Data Analytics Scenario in Banking Sector
With financial institutions leveraging big data in all aspects beginning from enhancing
cybersecurity to gaining customer loyalty, big data market in banking sector is going at an
increasing trajectory. As per a recent report, the market is going to increase at a CAGR of 12.97% in
the next 5 years. This implies a target of 62.10 billion by 2025.
As per the latest worldwide half yearly big data and analytics spending guide from IDC, banking
industry has spent more than 17 million dollars in data analysis.
Below illustration shows top banking analytics trends in recent years:
How BIRD helps the Banking Sector
Our full stack data management and augmented platform, BIRD, provides a one stop solution to
cater to the data analytics needs of the banking sector. Bankers can now easily model, analyze and
visualize the vast amount of data and get instant answers to make quick business decisions with
much required astuteness.
Fraud Detection
• Detect suspicious transactions in areas
such as AML, CFT Sanctions Screening, etc.
• Use BIRD’s machine learning capabilities
to track customer transactions and
behavior, thus detecting possible fraud at
early stages.
• Get real time alerts on possible malicious
activities through hidden patterns and
relationships in the data.
Risk Management
• Use a broad range of scoring
methodologies to assess risk exposure
and make better lending decisions.
• Make the best use of RWA reporting and
regulatory capital optimization to ensure
efficient credit risk analysis.
• Scrutinize the collections, reduce NPA
and increase profitability.
• Compute credit risk analysis in
compliance with Basel III/IV requirements.
Finance and Treasury
• Forecast NII and determine interest rates.
• Monitor and control interest rate risk.
• Establish risk tolerance levels and submit
intelligence to ALCO.
f
lows.
• Manage overall funds situation and FTP.
• Understand historical discrepancies
between actual and predicted FX cash
Advanced Algorithms
- Predicts consumer behavior and forecasts sales KPIs.
- Identifies profitable categories and understands user sentiment, aiding AI-driven decision-making.
Auto ML
Seamless Experience
- BIRD’s AutoML offers a code-free, user-friendly experience while delivering powerful AI and machine learning services.
- Generates the best machine learning models based on the selected target variable using top algorithms.
Model Evaluation
- Users can perform AutoML analysis to score and rank different models.
- Facilitates the selection of the best-performing model for specific datasets.
Interoperability
- Supports major open-source frameworks like PyTorch, TensorFlow, and SKLearn.
- Ensures comprehensive support for diverse data science needs and integrates well with various platforms.
Decision Making
- Enables well-informed, artificial intelligence-driven decision-making.
- Helps predict outcomes and understand key factors influencing target KPIs.
Customizable Embedded Analytics
Add our powerful analytics tool to your own product, app, or website. It’s fully branded to match your needs.
Flexible Deployment Options
Choose between our always-on Zoho cloud service, a public cloud, or an on-premise setup based on what works best for you.
Scalable and Customizable Platform
Use our flexible APIs for easy customization and integration with any technology.
Affordable Pricing
Our pricing is straightforward and low. We offer competitive rates for licensing, customization, training, and support.
By integrating AI and machine learning services, BIRD empowers every business team to leverage AI for predictive analytics, ensuring data-backed, insight-driven decisions.