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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

Standardizing analytics across clouds reduces fragmentation costs

Dickens argues that multi-cloud fragmentation—where organizations deploy different analytics platforms per cloud—is a solvable structural problem, not an inevitable complexity tax. He advocates for horizontal standardization of analytics tools across the entire data ecosystem as the practical path to reducing both operational costs and decision-making latency.

70%

of businesses use separate analytics per cloud platform

“Different analytics platforms for each cloud lead to increased time consumption and complexity.”

SAS report cited in multi-cloud management article

Impact of multi-cloud fragmentation on enterprise operations

Organizations using multiple cloud platforms70
Increased time consumption from fragmentation8
Cost reduction potential via standardization9
Complexity reduction from horizontal approach8

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74%Organizations using
Organizations using multiple cloud platforms
Increased time consumption from fragmentation
Cost reduction potential via standardization
Complexity reduction from horizontal approach

200+

UK & Ireland decision-makers surveyed on cloud platforms

Organizations can reduce complexity and costs by standardizing analytics across fragmented data ecosystems.

Multi-cloud management strategy (Engineering & Construction perspective)

Finding horizontal threads across your data ecosystem solves multi-cloud inefficiency.

Core recommendation across multi-cloud articles

“Fragmented analytics platforms waste organizational resources and decision velocity.”

Themes:Multi-cloud standardization as cost leverHorizontal data architecture over vertical silosComplexity reduction through platform consolidation

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