Skip to content
MarketScale
‹ Back to IndustriesSoftware & Technology

Struggling with Managing Multi-Cloud Platforms? Experts Recommend Finding Horizontal Threads Across Your Data Ecosystem.

Businesses utilizing multi-cloud platforms face significant challenges in efficiently extracting data and insights, as revealed in the SAS report “A Silver Lining from Every Cloud.” The study surveyed over 200 decision-makers in the UK & Ireland and found that 70% of businesses use different analytics platforms for each cloud, leading to increased time consumption…

This story was produced through MarketScale. See how Software & Technology teams put it to work with Executive Thought Leadership.

By Steven Dickens · Cloud Data AnalysisEnterprise CloudFuturum GroupMulti-cloud Platforms
Share

Key takeaways

01

Businesses utilizing multi-cloud platforms face significant challenges in efficiently extracting data and insights, as revealed in the SAS report “A Silver Lining from Every Cloud.” The study surveyed over 200 decision-makers in the UK & Ireland and found that 70% of businesses use different analytics platforms for each cloud, leading to increased time consumption…

Get featured

Want to get featured in MarketScale Software & Technology?

Create a free MarketScale workspace and get your company's expertise featured across our Software & Technology coverage. No credit card, no demo required.

Request an invite

Businesses utilizing multi-cloud platforms face significant challenges in efficiently extracting data and insights, as revealed in the SAS report “A Silver Lining from Every Cloud.” The study surveyed over 200 decision-makers in the UK & Ireland and found that 70% of businesses use different analytics platforms for each cloud, leading to increased time consumption and costs. Additionally, the proliferation of multiple cloud platforms heightens cybersecurity risks. These findings underscore the importance of strategic cloud infrastructure investments to optimize data usage and security.

How have these challenges impacted companies’ abilities to leverage data insights from their cloud platforms and make actionable decisions, and are there ways to navigate these complexities?

Steven Dickens, Vice President of the Futurum Group, believes there are challenges dealing with multi-cloud platforms, but solutions are available.

Steven’s Thoughts

“When you factor in that data could be spread across a number of different cloud platforms, whether that’s Microsoft Azure, Google Cloud Platform, or Oracle Cloud Infrastructure, the complexity and challenges really manifest for the enterprises we speak to.

Some of the key challenges we see from clients and enterprise vendors that we speak to are the ability to manage in a hybrid multi-cloud environment, whether that’s at the application level, whether that’s at the security level, whether that’s at the DevOps level, or whether it’s at the data level. Some of the challenges we see as organizers wrestle with how to manage data. Where do you back that data up, who has access to it, and how do you secure it while it’s in use, in transit, and at rest? How do you provide fault tolerance and resilience across that data landscape?

All of those are key challenges that we’re seeing. Then when you factor in that, that data could be spread across a number of different cloud platforms, whether that’s Microsoft Azure, Google Cloud Platform, Oracle Cloud Infrastructure, or private cloud instances either in your own data center or in hosted data centers, the complexity and challenges really manifest for the enterprises we speak to, and they’re wrestling with how they do that.

Some of the emerging approaches we’re seeing are how do you look at some of these horizontal layers, so data fabrics, data layers, data platforms, also orchestration, DevOps platforms, how to provide some horizontal connective tissue across your multi-cloud environment to improve operational effectiveness, reduce cost and improve the speed of delivery for enterprises as they look to operate in a dynamic business landscape.”

Article by James Kent

Your experts belong here

Every story in MarketScale Software & Technology starts with a company putting its solutions engineers, product teams, and customer engineers on the record. Buyers are already reading this topic. The only question is whose experts they find.

Buyers ask AI engines who to consider, and published expert answers are what those engines cite.

Get your team featuredSee how it works15 minutes, straight to a calendar.

About the author

Steven Dickens
Steven DickensVice President and Practice Leader

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.

Follow Software & Technology Insights

Get new expert content in your inbox.

Software & Technology: are you visible to AI?

Before they reach out, Software & Technology buyers ask AI engines which vendors to trust. See how AI describes your company today, and where competitors show up instead.

Free workspace

You just read one Software & Technology expert. Your company is full of them.

This article was produced through MarketScale. The same platform turns your solutions engineers, product teams, and customer engineers into the articles, video, and social content Software & Technology buyers are searching for. Create a free workspace and see it with your own people. No credit card, no demo required.

NPS +73 · 1,000+ creators · 38+ countries

What you get, free

Your own MarketScale Studio workspace
One video edit a month, on us
AI writing, editing, and publishing tools
In-platform coaching to learn the system

More Software & Technology Insights

Google’s expanded Marvell deal turns custom chips into a whole data center build

Google’s expanded Marvell deal turns custom chips into a whole data center build

Google has expanded its partnership with Marvell to include not only TPUs but also NICs, storage, and memory controllers. This move turns 'custom silicon' into a comprehensive procurement and platform decision for building data centers. The agreement highlights the growing demand for specialized components in cloud computing infrastructure.

  • 01Google's deal with Marvell now includes NICs, storage, and memory controllers.
  • 02Custom silicon is becoming integral to the procurement strategy in data centers.
  • 03The partnership reflects increased demand for tailored cloud computing solutions.

Aug 29, 2026

Sivers’ $1.2B pipeline has photonics and RF programs slated for 2027 production

Sivers’ $1.2B pipeline has photonics and RF programs slated for 2027 production

Sivers is moving from non-recurring engineering (NRE) work to production ramps with plans for photonics and RF programs slated for production by 2027, indicating a strategic shift in business focus. This change signals operators to finalize their packaging, test, and supply chain arrangements to align with Sivers' production timeline.

  • 01Sivers plans to transition from NRE work to product ramp-up by 2027.
  • 02Photonics and RF programs are a key focus in Sivers’ $1.2 billion pipeline.
  • 03Operators are advised to secure their packaging, testing, and supply arrangements now.

Aug 29, 2026

AI projects now start with hiring and fiber, not models

AI projects now start with hiring and fiber, not models

Recent developments in AI projects emphasize the importance of execution capability, highlighted by partnerships such as SSA’s AI RFI, New York's IBM enterprise agreement, and Zayo's collaboration with Corning Fiber. These collaborations underscore the necessity of foundational infrastructure, like hiring skilled personnel and establishing robust fiber networks, as prerequisites for effective AI model deployments. The shift indicates a focus on operational readiness and infrastructure as critical components in the successful implementation of AI technologies.

  • 01Infrastructure and skilled workforce are now crucial starting points for AI projects, more so than model development.
  • 02Collaboration with established technology and infrastructure providers is pivotal for effective AI execution.
  • 03Execution capability is increasingly seen as a constraint in AI initiatives, with companies prioritizing operational readiness.

Aug 28, 2026

Explore More Software & Technology Insights

Read more expert perspectives from across Software & Technology.

Browse Software & Technology Hub

About the Expert

Steven Dickens
Steven Dickens

Vice President and Practice Leader

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.

For B2B teams

Your experts could be publishing here

Stories like this one run on content MarketScale captures from real practitioners. See how your team's expertise becomes coverage in Software & Technology and beyond.

Book a 15-minute demo

Or call us. No forms required. We pick up. 214-945-2512