Fueling Financial Insights in the
Age of Digitalization

The digital transformation of financial services has produced never-before-seen volumes of data growing at an unprecedented rate. Along with bringing great potential, the openness and accessibility of the new landscape increase challenges around fraud detection, risk management, customer retention, and more. These challenges compound the strain of fulfilling ever-changing regulatory requirements.

SQream helps financial institutions overcome big data challenges, so they can transform their massive data stores from a burden to a business driver by delivering critical insights faster. SQream propels data-driven systems to meet new and emerging organizational demands, compliance requirements, and governance regulations.

Increased Customer Loyalty

Dig deeper into historical data to build more accurate models of customer behavior, optimize pricing for financial products, and offer the right products to the right clients.

Smarter Risk Management

By combining siloed data and accelerating data preparation and analysis, SQream significantly reduces the time for risk management and regulatory compliance.

Minimized Fraud

Minimize losses from fraudulent activities and claims by feeding AI/ML models much larger datasets, for more accurate and effective predictions.

“Combine the query performance of SQream on large datasets, and the vast scale that it can support on limited hardware, and SQream is certainly a candidate worth considering.”

GPU-Accelerated Databases: Addressing FRTB and Other Performance-at-Scale Challenges in Financial Services, Citihub

“We are always looking for new and better ways to analyze our huge data stores. SQream DB allows our Data Science team to generate the insights we need with a lean and performant addition to our existing Hadoop system.”

Multinational credit card and payment services provider

Global Financial Institution Unlocks New Insights

Learn how a leading credit card and payment services provider improves fraud detection and prevention with SQream.

Read Case Study

How Financial Services Companies Overcome Big Data Challenges

Discover how leading financial services organizations transform their massive data stores from a burden to a business-driver.

Download Whitepaper

Citihub: Addressing FRTB and Other Performance-at-Scale Challenges in Financial Services

Find out why Citihub Consulting recommends SQream for financial data analytics at-scale.

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Best Practices in Data Management for the Financial Services Professional

Get the step-by-step guide to effective data ingestion, management, and analysis for banking and financial data professionals.

Download E-Book

Data Boom or Data Bust? Analytics Challenges and Solutions in the Financial Sector

Explore real-life scenarios showing how SQream empowers finance organizations to increase customer loyalty, improve risk management, and minimize fraud.

Watch Webinar

Analytics Challenges and Solutions in the Financial Sector: Use Cases with SQream

Discover how SQream empowers financial firms to overcome technological challenges, and successfully uncover critical intelligence inside their massive data stores.

Download Brochure

Use Case - OFSAA Data Preparation and Acceleration

Learn how SQream helped one banking organization accelerate reporting over their massive and still growing data.

Read Use Case

Fueling Financial Insights in the Age of Digitalization

Learn More About Massive Data Analytics for Financial Services

Fueling Financial Insights in the
Age of Digitalization