Consider five key strategic imperatives of a digital transformation agenda. Powerful forces are reshaping the retail banking and payments industry. Customer expectation, technological capabilities, regulatory requirements, millenial demographics and new FinTech startups are converging to create an imperative for change. Read this white paper from LiquidHub and Hitachi Vantara to learn why data holds the key to success of the […]

Capitalize on the Value of Bank Data Integrate, scale and analyze data to improve customer experience and compliance with a single solution. As some of the biggest aggregators of user data, banks have a unique opportunity to improve customer experience with data insights. Customer experience is a primary differentiator for marketers – learn how to stand out with this infographic.

Save time loading new data sources Top financial services organizations constantly explore new ways to extract value from their data to support business initiatives like attracting new customers or entering new markets. It’s important to incorporate new data sources and technologies into current workflows. You also need to respond to complex regulations and compete with market disruptors in today’s competitive […]

Financial Services Use Case: Next-Generation Customer 360° and Data Hubs The key challenge for executive leadership is to efficiently aggregate customer data. This is the core driver behind strategic initiatives like customer 360°, customer data hubs (CDH), enterprise data hubs (EDH), customer data integration and customer data management. In this use case, learn how financial services executives implement customer-360°and data-hub […]

The Digital Nexus in Banking: Regulators and Customers Can Be Demanding, but Technology can Help Keep Them Happy. Data is reshaping the world of financial technology. With increasing mandates and the rising volume of customer data, a unified platform is the answer. Read the eBook and discover how Hitachi Vantara helps to ensure a successful compliance strategy for financial services […]

Utilize AI, Big Data and Cloud To Deliver Value From Your Data To drive higher value from data and analytics, organizations are anxious to capitalize on advances in artificial intelligence (AI), big data, and cloud-based services—trends that will reshape how organizations set their BI, analytics, and data architecture strategies. Read this TDWI Best Practice Report: BI and Analytics in the […]

Report: Six Keys to Maximizing Big Data Benefits and Project Success Being data-driven requires enterprises to be more responsive to data and able to adapt to changes in data sources and formats, and in the development of new applications. This adaptability to change must be reflected in the entire data-processing pipeline – from data ingestion and inventory, through data blending […]

Agile Data Management as the Basis for the Data-Driven Enterprise How you can deliver business value and avoid common pitfalls in big data integration and analytics? This TDWI checklist discusses six important issues that organizations should address to start big data projects off right. • Reduce time to value by clarifying objectives • Use blueprints and templates to simplify planning […]