Ken Clipperton
LEAD Analyst for Storage
Ken Clipperton is the Lead Analyst for Storage at DCIG. Ken brings more than 20 years of information technology leadership to his current role. Prior roles include server administrator, systems analyst, and then information technology director at a series of three private colleges and universities. Ken has served on multiple corporate advisory boards, state-wide technology commissions, national user group boards, and presented at many national and regional technology conferences.
Throughout his career, Ken has specialized in evaluating and implementing innovative technologies to address operational, tactical and strategic business priorities. For example, Ken was a key leader in the creation of the world’s first comprehensive wireless community at Buena Vista University–a project called eBVyou–that became a national model and drew visiting teams from hundreds of colleges, universities and K-12 school districts.
Ken earned his MBA in Management Information Systems from Metropolitan State University, St. Paul, MN and a BA in History from Crown College.
Latest Posts By Ken Clipperton
DCIG is Updating its All-Flash Arrays Research
The Data Center Intelligence Group (DCIG) is updating its research into all-flash arrays.
2023-24 DCIG TOP 5 High-End Storage Arrays Report Now Available
This report provides information about the best arrays for providing uninterrupted access to the world’s most essential data.
Early Observations from DCIG High-End Storage Array Research
This article shares some changes in high-end storage that have emerged since the publication of the 2020-21 DCIG TOP 5 High End Storage Arrays report.
Get More Done in Less Time Using Analytics to Automate and Simplify IT Operations
Tintri and DCIG will discuss the power of real-time and predictive analytics to automatically optimize infrastructure during a Tintri Talk In Session on January 12 at 9am PT / 12pm ET / 5pm GMT
Achieving Data Resilience at Scale Requires a New Approach to Backup and Recovery
The data environments of many businesses have become so large and complex that their backup infrastructures can no longer protect all their data or meet their recovery time requirements. Achieving data resilience at scale requires a new approach.