Big Data Disruptions Can Be Tamed with Enterprise Architecture - Slide 4

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Impact: Big data exposes talent gaps, introduces new interdisciplinary roles and forces organizations to attract and retain data-savvy business specialists and managers with deep analytical skills.

A major challenge is how organizations will attract and retain the right talent that exploits big data. Among the most sought-after role is the data scientist — a role that combines domain skills in computer science, mathematics and statistical expertise. EA practitioners can help their organization address this challenge by producing a resource planning deliverable that identifies big data skill gaps across business teams. Practitioners should also assess resource needs among information infrastructure teams and identify technical gaps when supporting big data solutions.

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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