Big Data—Challenges

John Frenzel

Research output: Chapter in Book/Report/Conference proceedingChapter

1 Scopus citations

Abstract

The hallmark of a successful analytics strategy ultimately is one that results in sustainable data delivery, as this demonstrates value to the enterprise and alignment of critical resources. Sustainable institutional analytics competency delivers data in an agile manner from a platform that minimizes rework, rediscovery, and churn. Creating a data governance model requires buy-in from stakeholders across an organization, and building the case for this is time consuming. Effective data governance is a foundational element for sustained success. In a mature Analytics 1.0 environment, analytics data should be clean, well understood, and trusted. Building a strategy implies synthesis, and with synthesis of purpose follows efficacy and agility. Stewardship is a core component of data governance. Organizations have numerous sources of data, and as they are brought together, they gain increased value when seen in the context of other information.

Original languageEnglish (US)
Title of host publicationDemystifying Big Data and Machine Learning for Healthcare
PublisherTaylor and Francis
Pages39-53
Number of pages15
ISBN (Electronic)9781315389318
ISBN (Print)9781138032637
DOIs
StatePublished - Jan 1 2017

ASJC Scopus subject areas

  • Medicine(all)
  • Economics, Econometrics and Finance(all)
  • Business, Management and Accounting(all)

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