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.
Leveraging Hadoop in the Analytc Data Pipeline
Leverage Hadoop in the Analytic Data Pipeline While a whole ecosystem of tools has sprung up around Hadoop to handle and analyze data, many of them are specialized to just one part of a larger process. To fulfill the promise of Hadoop, organizations need to step back and take an end-to-end view of their analytic data pipelines.
Moving Hadoop to the Cloud
Get All the Benefits of Cloud for Hadoop Clusters This hands-on guide shows developers and systems administrators familiar with Hadoop how to install, use, and manage cloud-born clusters efficiently.
