Big Data Storage ROI Calculator

Big Data is all the rage in corporate IT departments these days, but building IT systems with the ability and flexibility to make the most of your data is easier said than done.

Scale-out NAS (network-attached storage) is one option that enterprises have turned to for easier data management. A good SONAS system can provide much-needed scalability at a lower price point than a traditional SAN with easier management.

But as with any IT purchase, there are a number of factors to consider. Our Big Data storage project center can help you narrow your search for a vendor, but figuring out things like return on investment (ROI) and total cost of ownership (TCO) is another matter. That’s where our Big Data storage ROI calculator can help, and it might help you think about the cost issues involved in any storage system purchase, not just scale-out NAS systems.

The biggest benefit to any new IT system is how much faster you can respond to critical changes in your business, yet that’s tough to quantify without knowing how valuable even a small increase in speed and agility is worth to your organization. But we can help you with the big questions, such as the cost of your new system, staffing issues, management, utilization, scalability, downtime, provisioning and power and cooling costs. Our storage ROI calculator can help you calculate those costs for the first five years of your new system, giving you a good idea of your true costs for some time.

No ROI calculator will tell you everything you need to know, of course, but it can help you think about issues you might have overlooked. Our Big Data storage ROI calculator can be downloaded here.

RELATED NEWS AND ANALYSIS

• 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

• Top 10 AIOps Companies

  FEATURE |  By Samuel Greengard,
  November 05, 2020

• What is Text Analysis?

  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

• Top 10 Chatbot Platforms

  FEATURE |  By Cynthia Harvey,
  October 07, 2020

• Finding a Career Path in AI

  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 2020

  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

• Anticipating The Coming Wave Of AI Enhanced PCs

  FEATURE |  By Rob Enderle,
  September 05, 2020

• The Critical Nature Of IBM’s NLP (Natural Language Processing) Effort

  ARTIFICIAL INTELLIGENCE |  By Rob Enderle,
  August 14, 2020