TechValidate Research on CA Infrastructure Management


DCIM Case Study: Logicalis Group

Introduction

This case study of Logicalis Group is based on a September 2014 survey of CA Technologies Data Center Infrastructure Management customers by TechValidate, a 3rd-party research service.

“With CA DCIM, we have improved monitoring and management of the systems in our data center operations and are now making more effective use of power, space and cooling capacity.”

“CA DCIM has provided us with automated asset management and reporting.”

“BMS integration has allowed for enhanced alerting without the need for specialist BMS contractor.”

“CA DCIM has greatly reduced the amount of time spent collecting data and compiling data centre performance reports.”

“The product has allowed for the Data Centre Operations team to have a clearer understanding on how the data centre is performing and enables us to be more proactive and resolve issues before causing a major outage or incurring high costs.”

Challenges

  • Purchased CA DCIM to do the following:
    • Improve the use of data center capacity (power, cooling and rack space)
    • Improve efficiency and reduce energy consumption/costs
    • Improve power and cooling management

Use Case

  • Monitors 1,000 to 501 floor mounted assets/devices in their data centers with CA DCIM.

Results

  • Satisfaction with the following CA DCIM capabilities:
    • Monitoring capabilities: very satisfied
    • Capacity planning & analysis: very satisfied
    • Advanced alerting & dashboards: very satisfied
    • Asset placement & management: very satisfied
  • Saves 100 to 150 FTE hours per month from automated data collection and reporting offered by CA DCIM.
  • Achieved the following results after implementing CA DCIM:
    • Improved capacity management: 10-25%
    • Reduced reporting time/costs: >50%
    • Reduced energy consumption: 10-25%




About This Data

This data was sourced directly from verified users of CA Infrastructure Management by TechValidate.

TechValidate verifies the identity and organizational affiliation of all participants that contribute to published research data. When research participants so desire, we also guarantee their anonymity so that they may share information honestly and freely.


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