Banking and Financial Services Big Data 

Banking

Fraud detection​

 Regulatory Compliance

Risk Management​

Customer 360​

Credit Scoring

Insurance

Improve risk scoring and claims processing

Attractive offerings

Seamless user interaction

Improve customer service

Financial Services

Improve risk scoring and claims processing

Attractive offerings

Seamless user interaction

Improve customer service

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Sparkflows Solutions

Fraud Detection

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Identify the pattern, analyze the trends, compare them against fraud detection.​

Data analytics
integrates structured and unstructured data to reveal information about bank fraud.​

Fraud transactions are flagged in real time making it easier to catch them quickly.​

Process millions of transactions, real-time capability, and deep analysis that uncovers trends in data.​

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The analysis system suggests immediate actions like blocking irregular
transactions.​

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50+ ML algorithms available in Sparkflows

35+ File Formats and Connectors available

Variety of NLP algorithms available

Regulatory Compliance​

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Improve the accuracy in identifying the rules that apply to banks and fix the institution.​

Augment the skills of compliance officers allowing them to scale their operations.​

Automatically scour through the web and identify only the most relevant documents.​

Use Machine Learning AI models appropriate for the client- company’s use case.

Risk Management​

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Credit Risk-UsMachine Learning algorithms to better assess credit histories.They reveal the additional vulnerabilities
missed by human eyes.​

Fraud Risk- Build AI modesto quickly spot patterns from various channels and send alerts about fraudulent activity.​

Underwriting Risk- Artificial Intelligence is used to collect data points from multiple sources and give a rounded risk profile for each customer.​

Ai and Risk Management
align when there is a need for handling and evaluating unstructured data.​

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Sparkflows supports
Deep Learning with Keras

Ability to Read & Process Images​

Scale horizontally to millions of images​

Customer 360​

Ingest, integrate and enrich all of your customer data into a data lake. This makes every bit of customer data easily available to the entire organization.​

We are harnessing the vast resources of customer data with modern Data Architecture leveraging Hadoop, Spark, Machine Learning, and Artificial Intelligence.​

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FPG algorithm available
in SParkflows

Scales to any size dataset​

Multiple clustering algorithms available

Credit Scoring

Artificial Intelligence is a great solution using more data to provide individualized credit score.​

The credit score is based on current income, employment opportunity, recent credit history, ability to earn, older credit history.​

Assess each borrower and provide credit to those who were denied under the conventional scorecard system.​

AI adopts new problems like credit card churners who have high credit score but not likely to be profitable for the card issuer.

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Sparkflows connects with various data sources and scales to Petabytes​

Perform various Analytics on the Data by slicing and dicing it​

Use various classification & recommendation algorithms​

Anti Money Laundering

Sparkflows uses ML Technologies to find a suspicious transaction​

These transactions are flagged for investigation and can be scored as high, medium or low priority for better investigation.​

The AI can also provide reason code for the decision to flag the transaction. These codes tell the investigators where they might uncover the issues to streamline the process.​

AI learns from the investigators to review and clear suspicious transactions 

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Sparkflows connects with various data sources and scales to Petabytes​

Perform various Analytics on the Data by slicing and dicing it​

Use various classification & recommendation algorithms​

Anti Money Laundering

Sparkflows builds ML models that can be used to automate claims assessment and routing based on existing fraud pattern.​

Fraud
Mitigation

Customer
Retention

Sparkflows builds a great solution for customer churn prediction. AI can look at new data sources, complex interactions between behaviours to determine risk, recommend best offer, identify why a customer is at risk.​

Personalized Rate Management​

AI models are used for anomaly detection, clustering and creating recommendations which makes it ideal for finding issues and developing more individualized insurance policies and rates.​

Claims
Management​

Sparkflows uses the AI model to streamline processing by scoring claims for fraud, provide reason codes for claim denials. Reason codes are helpful for customers which help them to fix the claim for reprocessing, approval and payment.​