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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. <br/><br/> PRACTICE COVERAGE<br/><br/> 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<br/><br/> Operations Software; Log management, automation, observability, and console reporting.<br/><br/> Servers & Compute including; x86, UNIX, Mainframe, HPC and Hyper-Converged infrastructure<br/><br/> Open Source: Linux Operating systems and Open-Source tooling and operations software.<br/><br/> Mainframe Ecosystem including hardware, software, service providers and outsourcers.<br/><br/> WHO STEVEN WORK WITH<br/><br/> 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.

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

Standardize analytics horizontally to escape multi-cloud fragmentation costs

Dickens argues that multi-cloud fragmentation—where organizations deploy separate analytics platforms for each cloud—creates unnecessary complexity and cost. He advocates for finding horizontal standardization threads across fragmented data ecosystems as the primary solution to unlock efficiency and reduce operational burden.

70%

of businesses use different analytics platforms per cloud

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

Struggling with Managing Multi-Cloud Platforms (software and technology)

Multi-cloud adoption and fragmentation severity

Organizations using multiple cloud platforms70 %
Using different analytics per cloud70 %
Reporting increased time consumption from fragmentation70 %

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33%Organizations using
Organizations using multiple cloud platforms
Using different analytics per cloud
Reporting increased time consumption from fragmentation

200+

decision-makers surveyed across UK and Ireland

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

Struggling with Managing Multi-Cloud Platforms (engineering and construction)

Standardizing analytics across fragmented data ecosystems addresses the root cause of multi-cloud inefficiency.

SAS report: A Silver Lining from Every Cloud

Horizontal standardization unlocks the value trapped in fragmented cloud deployments.

Themes:Multi-cloud fragmentation as structural cost burdenHorizontal analytics standardization as efficiency leverData ecosystem consolidation through platform unification

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  • AM
    Alex M.·2h agoquestion

    What sparked your research into disruptive innovation?

    Curious what the original insight was that led you to the Innovator's Dilemma framework.

  • SL
    Sophia L.·1d agoidea

    Would love a deep-dive into EdTech adoption barriers.

    Your framing of sustaining vs. disruptive innovation feels directly applicable to school systems.

  • DR
    David R.·3d agoquestion

    How do you see AI changing the personalized learning landscape?