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Contributors›Steven Dickens
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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

Standardized analytics across clouds eliminates fragmentation costs

Dickens argues that multi-cloud fragmentation—where organizations deploy different analytics platforms for each cloud environment—is economically and operationally unsustainable. He advocates for horizontal standardization of analytics across the entire data ecosystem as the primary lever to reduce complexity, cost, and time-to-insight.

70%

of businesses use different analytics per cloud platform

“Businesses using different analytics platforms for each cloud face significantly increased time consumption extracting insights.”

SAS report cited in article 1

Cost and complexity drivers in multi-cloud analytics

Organizations with fragmented analytics platforms70
Decision-makers surveyed (UK & Ireland)200
Cloud platforms typically deployed per enterprise3

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26%Organizations with
Organizations with fragmented analytics platforms
Decision-makers surveyed (UK & Ireland)
Cloud platforms typically deployed per enterprise

1 in 3

enterprises could reduce costs via standardized analytics approach

Standardizing analytics across fragmented data ecosystems reduces both complexity and operational costs.

Article 2 engineering and construction analysis

Finding horizontal threads across your data ecosystem unlocks efficiency at scale.

Multi-cloud management article headline thesis

“Fragmented analytics platforms are the hidden tax on multi-cloud strategy.”

Themes:Horizontal standardization as cost containment strategyMulti-cloud fragmentation as measurable business dragData ecosystem consolidation across platform boundaries

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