The Evolving World of Analytics and Data Research

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One change that has influenced the development of modern analytic systems is the increasingly distributed nature of data sources. These days organizations need access to data from an array of sources beyond the company firewall to incorporate into their analytic processes and enterprise data models. Collecting this disparate and heterogeneous data that resides both on-premises and in the cloud can be complex. This benchmark research investigated how organizations approach such challenges, as well as examining data and integration considerations, technology adoption trends and deployment styles and choices. The research evaluated how analytics have been evolving to address issues posed by data, the cloud, the intensification of business collaboration, the internet of things, mobile computing and location intelligence. It examined the importance of various data sources in analytic processes, among them big data, unstructured data and external data. It explored preferences for on-premises, cloud or hybrid deployments. It examined the importance of mobile and collaborative analytics and how analytics are being embedded into applications and use of artificial intelligence and machine learning.