Trends in Data Analytics

Submission deadline: 1 December 2014
Publication: July/August 2015

This special issue of IT Professional will review trends, approaches, applications, and methodologies that businesses must understand and leverage to capitalize on new developments in analytics. Analytics is a broad conceptual space, and the marketplace is crowded with vendor claims and marketing hype. Business and technology leaders know they need to build new capabilities to stay relevant, but which technologies are worth the investment and which are just fads or are overblown with unrealistic expectations?

Data and text analytics holds great promise to revolutionize mature and emerging industries. The proliferation of online and customer experience applications, along with the connected world and Internet of Things, vastly increases the number and types of data sources. Data is streaming from all manner of systems, processes, and tools, and the data exhaust of these applications becomes the fuel for new classes of system. Add to this the privacy and security issues brought about by new mechanisms for interpreting and connecting data, and the corporate Chief Data Officer, Chief Information Officer, and Chief Marketing Officers have their work cut out for them in making sense of the shifting landscape of tools and ocean of data sources. We seek high-quality contributions from industry, government, business, and academia that address these trends, issues, and challenges. Topics of interest include

  • How organizations have instituted data curation and data analytics programs
  • Frameworks for data governance and policy development
  • Use of big data analytics to create innovative business models
  • Mobile data analytics and privacy issues
  • Cloud analytics maturity
  • Predictive analytics models and applications
  • Vendor strategies for analytics platforms
  • Center of excellence models for analytics
  • The role of text analytics and unstructured data
  • Data visualization approaches
  • Social media analytics and the Internet of Things
  • Data analytics to add business value, such as customer relationship management (CRM) or better competitive positioning
  • The role of the Chief Data Officer and Chief Analytics Officer

Submissions

Feature articles should be no longer than 4,200 words (with tables and figures each counting as 300 words) and have no more than 20 references. Illustrations are welcome. For author guidelines, including sample articles see www.computer.org/portal/web/peerreviewmagazines/acitpro.

Submit your article at https://mc.manuscriptcentral.com/itpro-cs.

Questions?

For further information, please contact the Guest Editors:

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