Big Data Disruptions Can Be Tamed with Enterprise Architecture - Slide 5

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Impact: Big data requires technology specialists to acquire and apply tools, techniques and architectures for analyzing, visualizing, linking and managing big datasets.

EA practitioners must help their organization understand how best to design and implement big data solutions. Careful planning must be undertaken to determine the best tools and techniques for analyzing complex datasets. These include skills in statistics, machine learning, natural-language processing and predictive modeling. In addition, practitioners must help teams understand how to use big data visualizations techniques, such as tag clouds, clustergrams, history flows, animations and infographics. Teams should use low-cost, open-source tools in early pilots to demonstrate the feasibility of big data projects.

Enterprise architecture (EA) practitioners have a major role in ensuring their organizations maximize the business opportunities posed by big data, according to Gartner, Inc.

Big data makes organizations smarter and more productive by enabling people to harness diverse data types previously unavailable and to find previously unseen opportunities. However, Gartner analysts said big data poses big challenges as well — and that's where enterprise architects can help. As navigators of strategic change, the task for EA practitioners is to chart the right course for big data across the most critical dimensions of the organization: business, culture, talent and technology.

“Traditional approaches to EA are significantly impacted by big data,” said David Newman, research vice president at Gartner. “For the EA practitioner, the balance shifts from a focus on optimization and standardization within the organization, to lightweight approaches that focus on harmonization and externalization across the broader enterprise ecosystem. Big data disrupts traditional information architectures — from a focus on data warehousing (data storage and compression) toward data pooling (flows, links and information shareability). In the age of big data, the task for the EA practitioner is clear: Design business outcomes that exploit big data opportunities inside and outside the organization.

Gartner has identified four critical impacts of big data and how enterprise architects can address these issues.

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