Data Done Right: Quality, Quickly.
Use AI as a competitive imperative and unlock new banking and financial revenue streams at blazing speed.
Drive competitive advantage for your banking organization with these data strategy and monetization initiatives.
- Navigating Hybrid Cloud with agility.
Get more tailored insights to develop new client opportunities, reduce costs, and save on manual time.
- Define the data opportunity.
Drive better operational integrity with higher quality data, better analytics, and a new wave of intelligent data and AI-enabled products and services.
- Identify any data strategy issues.
The seven key factors that inhibit successful execution of a growth strategy, and how to overcome them.
CELENT: Oceans of Data - Recognizing the Perils in Corporate Banking Data Transformation
Advanced analytics and data insights help address staffing, infrastructure, and data preparation.
- Operationalize AI.
Get ahead of the competition with operationalized AI-based data analytics.
- Scale up or down depending on your needs.
Get the flexibility you need with the right data management platform for your firm.
- Take control of your data strategy.
Deploy analytics wherever you need to, on-prem or in the cloud.
MIT Technology Review: AI-based data analytics enable business insight
Why Hitachi Vantara?
Choose a partner trusted by over 9 of 10 Top Banks
15x
increase productivity
3x
improve data pipeline quality
50%
faster data delivery
Faster Insights Drive Better Business Outcomes
To help establish a faster and more dynamic data infrastructure, Fannie Mae selected Pentaho Data Catalog as a centralized, data-agnostic tool to accelerate data availability.
Fix your data trust issues
Gather, analyze, and leverage insights with Pentaho data catalogue.
