EZINE:
The Nordic region, known for its startup companies, is a good platform for fintech companies to set up as consumers are conducive to digital banking services. In this issue, discover how major companies in the financial industry are partnering with startups and launching fintech initiatives and much more.
EZINE:
In this quarter's CW Middle East ezine, we look at how the Middle East, with the poorest road safety record in the world, could benefit most from self-driving cars.
WHITE PAPER:
Access this brief resource today to learn about a platform that makes reliable, trusted business intelligence (BI) data available in familiar Microsoft Office applications – giving you a single, trusted version of the truth.
WHITE PAPER:
This resource introduces Hadoop strategies that can address the requirements of big data – allowing your organization to optimize performance for deep data mining and analytical power.
WHITE PAPER:
This technical white paper describes the deployment of Intel® Distribution for Apache Hadoop on Dell PowerEdge Servers. Read on to learn how to streamline Hadoop implementation, optimize big data management, and more.
WHITE PAPER:
This resource introduces a platform that takes the pain out of Hadoop, empowering your organization to tap into large pools of data and achieve faster, smarter decision-making.
EZINE:
For companies tapping into mountains of amassed data, enterprise business analytics breathes new life into the old axiom "There's gold in them thar hills."
WHITE PAPER:
The following white paper explores the importance of leveraging analytics in big data initiatives. Learn how analytics supports decision-making on all fronts, the challenges involved, and technology recommendations to make this all work.
WHITE PAPER:
This valuable report examines the critical role of data integration in driving big data success. Read on to learn about the current state of data integration, the key challenges of big data, and more.
WHITE PAPER:
This resource explores how businesses big and small are navigating the challenges of a big data 2.0 world, and explains how predictive analytics can turn big data into business value.
