What’s the secret to a successful private cloud deployment?
New research from the IT Process Institute (ITPI) indicates that IT departments should prepare to put as much thought into the business side of the project as the hardware and software that’s going into it. As Kurt Milne, Managing Director of ITPI, told InternetNews.com, “Cloud projects are dependent on business outcomes.”
Protecting your company’s data is critical. Cloud storage with automated backup is scalable, flexible and provides peace of mind. Cobalt Iron’s enterprise-grade backup and recovery solution is known for its hands-free automation and reliability, at a lower cost. Cloud backup that just works.
ITPI surveyed 143 companies for its study, “Private and Hybrid Cloud IaaS: Project Success Factors.” And the pendulum swung into pinstripe territory for many top performers and organizations that reported a “significant improvement” in areas like service quality, operational efficiency and business outcomes. Successful cloud projects generally enjoyed high visibility among C-level or line-of-business executives.
Keeping users in the loop was also an indicator of a successful cloud project. “Users having a strong experience strongly correlates with project success,” said Milne.
Top performers consistently focused on business agility versus the cloud’s often-touted perks like operational efficiency and cost savings. Those businesses that employed cloud technologies for self-service development and testing, as a self-service resource or for workload scaling, were among those that derived the most benefit from their IT investments.
Milne noted that the greatest predictor of cloud success is an “external first” strategy. External first describes workloads that are tested or prototyped on a public cloud and then brought back in-house.
And companies that are thinking about floating private clouds may want to think twice about completely closing the door on public cloud services. Over half of top performers allow users to access and self-provision across both private and public clouds, according to ITPI. Only 13 percent of low performers that stick to one environment empower their users with self-service capabilities.
On the IT management front, a common theme surfaced among the majority of successful cloud projects. Over 70 percent of top performers reported having experience with lifecycle management tools or had dev/test resources that mimicked their production setups. Only 40 percent of low performers could say the same.
What should IT managers watch out for? Many cloud projects sail over deadlines and incur big costs, warns ITPI.
Over 60 percent of those surveyed reported having trouble sticking to the schedule while over 40 percent said that they went over budget. Another familiar gremlin, namely scope creep, haunted over 30 percent of respondents.
Pedro Hernandez is a contributing editor at InternetNews.com, the news service of the IT Business Edge Network, the network for technology professionals. Follow him on Twitter @ecoINSITE.
Ethics and Artificial Intelligence: Driving Greater Equality
FEATURE | By James Maguire,
December 16, 2020
AI vs. Machine Learning vs. Deep Learning
FEATURE | By Cynthia Harvey,
December 11, 2020
Huawei’s AI Update: Things Are Moving Faster Than We Think
FEATURE | By Rob Enderle,
December 04, 2020
Keeping Machine Learning Algorithms Honest in the ‘Ethics-First’ Era
ARTIFICIAL INTELLIGENCE | By Guest Author,
November 18, 2020
Key Trends in Chatbots and RPA
FEATURE | By Guest Author,
November 10, 2020
FEATURE | By Samuel Greengard,
November 05, 2020
ARTIFICIAL INTELLIGENCE | By Guest Author,
November 02, 2020
How Intel’s Work With Autonomous Cars Could Redefine General Purpose AI
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
October 29, 2020
Dell Technologies World: Weaving Together Human And Machine Interaction For AI And Robotics
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
October 23, 2020
The Super Moderator, or How IBM Project Debater Could Save Social Media
FEATURE | By Rob Enderle,
October 16, 2020
FEATURE | By Cynthia Harvey,
October 07, 2020
ARTIFICIAL INTELLIGENCE | By Guest Author,
October 05, 2020
CIOs Discuss the Promise of AI and Data Science
FEATURE | By Guest Author,
September 25, 2020
Microsoft Is Building An AI Product That Could Predict The Future
FEATURE | By Rob Enderle,
September 25, 2020
Top 10 Machine Learning Companies 2021
FEATURE | By Cynthia Harvey,
September 22, 2020
NVIDIA and ARM: Massively Changing The AI Landscape
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
September 18, 2020
Continuous Intelligence: Expert Discussion [Video and Podcast]
ARTIFICIAL INTELLIGENCE | By James Maguire,
September 14, 2020
Artificial Intelligence: Governance and Ethics [Video]
ARTIFICIAL INTELLIGENCE | By James Maguire,
September 13, 2020
IBM Watson At The US Open: Showcasing The Power Of A Mature Enterprise-Class AI
FEATURE | By Rob Enderle,
September 11, 2020
Artificial Intelligence: Perception vs. Reality
FEATURE | By James Maguire,
September 09, 2020
Datamation is the leading industry resource for B2B data professionals and technology buyers. Datamation's focus is on providing insight into the latest trends and innovation in AI, data security, big data, and more, along with in-depth product recommendations and comparisons. More than 1.7M users gain insight and guidance from Datamation every year.
Advertise with TechnologyAdvice on Datamation and our other data and technology-focused platforms.
Advertise with Us
Property of TechnologyAdvice.
© 2025 TechnologyAdvice. All Rights Reserved
Advertiser Disclosure: Some of the products that appear on this
site are from companies from which TechnologyAdvice receives
compensation. This compensation may impact how and where products
appear on this site including, for example, the order in which
they appear. TechnologyAdvice does not include all companies
or all types of products available in the marketplace.