Which cloud provider do you use for your Enterprise Data Warehousing needs?

Data & Analytics Business Intelligence Storage

Google Cloud Platform - BigQuery18%

Amazon Web Services - Redshift43%

Microsoft - Azure35%

Snowflake2%

752 PARTICIPANTS

2.6k views2 Upvotes1 Comment

Executive Architect in Healthcare and Biotech, 10,001+ employees

Oracle Cloud Infrastructure

2

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If you use an air-gapped backup solution, would you say there are drawbacks?

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Slow recovery response times34%

Data availability is limited49%

Too expensive to scale effectively52%

Difficult to manage for widespread use37%

Prone to misconfiguration12%

No - There are no drawbacks7%

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Predict the future: The majority of data-driven business decisions will be automated within the next

Data & Analytics Disruptive & Emerging Technologies Automation

Year6%

5 years53%

10 years26%

15 years8%

20 years3%

>20 years1%

Never2%

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How do you govern ITSM in such a complex environment? Consolidate, but tolerate autonomy? Consolidate, but leverage only one integrator? We're a large organization of 100k humans, spanning 400 sites, nearly every country, with multiple Service Now instances for HR, IT, Budget, and Procurement across CONUS and OCONUS. We handle millions of transactions annually, but we're grappling with cross-instance integrations and the velocity of bringing change into operation. Centralization added complexity, risk, and hindered new capabilities. Scoped applications have note simplified transfers of workflows. Autonomy looks promising but raises concerns about consistency. What's your approach, and what are the pros and cons you have experienced? Do your integrators appear to sabotage other integrators? Has anyone found utopia in this topic?

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What's a quick win for optimizing spend? What's been your focus or "lowest hanging fruit"?

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How do you identify individuals that would be well suited for a data stewardship role?

Data & Analytics Team & Organizational Design Talent Sourcing & Hiring

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