LATEST INTELLIGENCE and general confusion . A data and analytics platform strategy can balance the benefits of centralized management with distributed agility while enabling users with analytic capabilities to tackle business initiatives .
This research paper identifies four specific challenges and provides recommendations for evolving the strategy , architecture , and enablement process for data and analytics in the enterprise . and scientists – to work with data to develop and deploy meaningful analytics .
Every business initiative is multi-faceted in its data and analytics needs , which creates a broad spectrum of requirements for both the data ( from raw to curated to transformed ) and the maturation of analytics ( from descriptive to predictive to prescriptive ) that are leveraged by people with different roles in the process .
1 . Meeting the needs of all types of cloud users in a fast , consistent and controlled way
Enterprise data and analytics platforms are designed with a purpose : to enable many types of users – from business consumers and analysts to data engineers
Further , data architects , governance and compliance managers , and infrastructure managers each have additional specific needs and roles concerning the data in order to facilitate business analytics . A comprehensive data and analytics platform is able to align users with the appropriate data and analytics capabilities to execute business initiatives . p
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