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Decisions reimagined

Move beyond legacy systems to a modern, enterprise data warehouse—and reduce TCO

Modernize your financial services software
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The current state of analytics and AI adoption in financial institutions

See how leading banks turn AI into real value—and what’s stopping others from keeping up

In this short clip, hear what’s really holding firms back from turning AI into action—and what sets the leaders apart

The right resources to guide your modern banking data warehouse transformation

Discover financial data solutions to address the unique analytical challenges facing financial services executive decision makers

White paper

7 steps to becoming a hyper‑intelligent financial services firm

See the 7 steps

Infographic

From traditional to hyper-intelligent: The 7‑step journey for financial services firms

View the infographic

Forum recording

Banking on AI: Navigating disruption and driving growth

Learn from financial experts

Get AI-ready with a modern data warehouse built for security and compliance

Balance regulatory reporting, risk management, and customer growth—without legacy data warehouses slowing your financial institution down

Performance

Optimize for top financial service outcomes

Replace costly, rigid data warehouses with a high-performance analytics platform optimized for risk modeling, fraud detection, real-time trading, and customer insights.

Savings

Reduce TCO and modernize analytics

Retire legacy data warehouses and reduce operational costs—without compromising performance or reliability. Upgrade your enterprise data warehouse to a modern data platform and gain an AI advantage.

Security

Protect sensitive financial data

Safeguard customer information and mitigate compliance risk with field-level encryption, integrated privacy controls, and audit-ready reporting for Basel III, IFRS 17, and CCAR.

AI-readiness

Modernize for an AI advantage

Prepare your data and infrastructure to support in-database machine learning and advanced analytics. Forecast trends, detect anomalies, and optimize portfolios right where your financial data lives.

Don’t take our word for it. Learn from our financial services customers

55% of banks cite legacy systems as the top barrier to transformation.*
See how leading companies overcame it to drive business outcomes

Thanks to [OpenText Analytics Database’s (Vertica)] incredible analytics speed we can experiment, make mistakes, and draw conclusions on a massive scale.

Michal Dorosz
Coordinator, Analysis and Data Mining Team, Warta Insurance

By deploying [OpenText Analytics Database], ShengPay has gathered a massive amount of data, generated by millions of commercial users and several hundred million financial users from all over the country.

Technical Department Superintendent
Shanghai Shengfutong Electronic Business Co., Ltd.
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It took up to four hours of work to collate data into multiple spreadsheets. Thanks to [OpenText Analytics Database], we can make all the data we need available to the business via a single dashboard within seconds.

Erkin Şimsek
Project Manager, BELBİM
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Fuel secure, high-performance insights with AI-powered analytics for financial services from OpenText

OpenText™ Analytics Database

Analyze petabytes of data in no time with an AI‑driven analytics database

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OpenText™ Intelligence

Improve decisions with AI‑driven business intelligence and reporting

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OpenText™ Data Discovery

Boost big‑data discovery with AI‑powered advanced analytics

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OpenText™ Intelligent Classification

From unstructured content to actionable insight with AI text analytics

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OpenText™ Data Privacy & Protection Foundation

Secure data at scale with proven format‑preserving data protection

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Frequently asked questions

Modernizing the data warehouse is no longer just about faster queries or cheaper storage—it’s about building the foundation for AI‑driven products, real‑time insights, and automated decision-making at scale. A modern architecture enables secure access to high‑quality data, accelerates model deployment, and makes advanced analytics usable across the business. Compliance, performance, and cost efficiency remain important—but AI is the catalyst pushing modernization forward.

Financial institutions often face roadblocks like legacy-system integration, siloed teams, internal resistance to change, and regulatory complexity. Many also struggle with inconsistent data quality or infrastructure that can’t support real-time or AI-driven analytics. These challenges delay time to value and limit innovation.

There’s no one-size-fits-all answer—but financial services firms benefit from data warehouse or data lakehouse platforms that are flexible, scalable, and secure. Look for solutions that support hybrid and multi-cloud deployments, real-time analytics, and integration with upstream and downstream systems. Built-in support for compliance and  governance is also essential.

Most financial services firms still operate on fragmented legacy data systems that can’t scale to support real-time analytics or AI adoption. Modernization helps firms reduce costs, meet regulatory requirements, and enable revenue-driving use cases across fraud detection, risk modeling, and hyper-personalization.

Becoming a hyper-intelligent financial services firm requires more than upgrading technology. It takes strategic alignment, scalable infrastructure, trusted data, cross-functional collaboration, and a focus on measurable use cases. Our white paper outlines seven essential steps to help financial services firms move from fragmented systems to intelligent, AI-powered operations—securely and confidently.

Download the 7 steps to becoming a hyper-intelligent financial service firm white paper to learn how to future-proof your analytics and stay ahead in a fast-evolving industry.

OpenText provides an integrated platform that combines high-performance analytics (OpenText Analytics Database) with advanced AI, governance, and hybrid deployment capabilities. Our technology supports petabyte-scale workloads, real-time use cases, and built-in compliance tooling—ideal for firms operating in regulated, data-intensive environments.
  1. * IBS Intelligence, Core Banking Crisis: 55% of Banks cite Legacy Systems as top barrier to transformation, October 2024