In this white paper, discover how organizations can improve their cloud service integration capabilities through the use of an integration platform as a service (iPaaS). Uncover 13 reasons why enterprise architects should consider iPaaS for cloud service integration, and review your iPaaS software options with TIBCO.
Business intelligence and analytics is an ever-changing landscape. In this 20-page buyer's guide, Computer Weekly looks at firms' search for data scientists, how modern business intelligence works for big data and the role DevOps can play in navigating a data onslaught.
Frictionless data access is one of the differentiating factors in the big data era. So how are you building a fast and governed data architecture? Tune in to this webinar to hear TIBCO experts discuss the emergence of data fabrics, see key capabilities, and learn what makes their solution special, from data delivery to powerful data management.
Discover how to craft data-first CRM strategies and get tips about coordinating data sources for effective CRM, 5 ways to reduce risks for Salesforce deployments, and the pros and cons of current CRM software offerings.
Data integration and preparation remains the knotty problem at the heart of many data management and business intelligence programmes.Demands on IT leaders in user organisations – especially large, complex ones – are and will continue to be equally complex and pressing as boards look to get business value from data. Read more in this e-guide.
Capitalizing on your data is more complicated than it seems. Access this CIO’s e-book from HPE to determine your position on the Data Innovator Scale – and discover how to bring your data innovation to the next level.
While everyone knows that data modernization is essential given the pace of data generation and IT innovation, organizations and leaders are less certain about when and how to launch their ideal modernization project. Access this e-book, courtesy of OneNeck IT, to learn their 5 essential steps to data modernization, complete with best practices.
It's time for big data to become more relevant. We're finally ready to leverage those big data promises that have long been little more than hollow promises. This e-guide explores the pros and cons of seven big data infrastructures that will help you make the most of your data efforts.