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Vice President and Practice Leader

Steven Dickens

STEVEN DICKENS MISSION To work with organisations globally to provide thought leadership, content and advisory services so they can address the challenges and opportunities that a digital world presents. PRACTICE COVERAGE Public Cloud IaaS; AWS, Azure, GCP, OCI and IBM Cloud as well as public cloud connected compute such as Outpost, Satellite, Stack and Cloud-at-Customer, this focus also includes containers, K8S, Cloud-native orchestration & Virtualisation Operations Software; Log management, automation, observability, and console reporting. Servers & Compute including; x86, UNIX, Mainframe, HPC and Hyper-Converged infrastructure Open Source: Linux Operating systems and Open-Source tooling and operations software. Mainframe Ecosystem including hardware, software, service providers and outsourcers. WHO STEVEN WORK WITH With 25+ years of experience in cloud, hardware, services and software along across multiple industries, he engages with senior leaders in large organisations, new emerging vendors and the major Tech vendors to define strategy and provide engaging content and advisory services.

2 articlesLinkedIn ↗X ↗
Contributor Brief·Steven Dickens · 2 articles
Updated Aug 9, 2023

Standardize analytics horizontally to escape multi-cloud fragmentation

Dickens argues that organizations cannot manage multi-cloud complexity by building separate analytics solutions for each platform; instead, they must identify and standardize horizontal data threads across their entire ecosystem to reduce cost and operational burden. He positions standardization as the fundamental strategic choice that distinguishes successful multi-cloud operations from those mired in fragmentation and inefficiency.

70%

of businesses deploy different analytics per cloud platform

“Businesses utilizing multi-cloud platforms face significant challenges in efficiently extracting data and insights.”

SAS report findings cited in article 1

Multi-cloud platform and analytics adoption challenges

Organizations using different analytics per cloud70
Decision-makers surveyed in UK & Ireland200
Primary business impact: time consumption and cost1

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26%Organizations using
Organizations using different analytics per cloud
Decision-makers surveyed in UK & Ireland
Primary business impact: time consumption and cost

1:1

current ratio of clouds to analytics platforms in fragmented operations

Organizations managing multiple cloud platforms can reduce complexity and costs by standardizing analytics.

Engineering and construction analysis (article 2)

Standardizing analytics across fragmented data ecosystems represents the path to operational and financial efficiency.

Multi-cloud platform strategy recommendation

“Finding horizontal threads across your data ecosystem solves multi-cloud management.”

Themes:Horizontal standardization over vertical fragmentationMulti-cloud analytics consolidation strategyData ecosystem integration as cost lever

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