Articles By: Pentaho
Banking and Payment Companies White Paper: Why Data Holds the Key to Success
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.
Infographic: Capitalize on the Value of Bank Data
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.
Case Study: Save time Loading New Data Sources
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.
Financial Services Use Case: Next-Generation Customer 360° and Data Hubs
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.
Financial Services E-Book: Gain Complete Insight Into Customers, Operations and Risks.
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.
BI and Analytics in the Age of AI and Big Data
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.
Six Keys to Maximizing Big Data Benefits and Project Success
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.
Agile Data Management as the Basis for the Data-Driven Enterprise
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.
