Three issues that need to be understood when deploying data center infrastructure management DCIM: Data Center dcim

Three issues that need to be understood when deploying data center infrastructure management DCIM: Data Center dcim

Data center infrastructure management (DCIM) software is mainly a supporting technology that makes data center operations more flexible, efficient, and agile. The DCIM Solution uses automated and real-time telemetry data to provide an overall view of the data center at the server and rack level. However, most IT staff did not take advantage of these automation features at the beginning of DCIM deployment.

As a support technology, DCIM can help employees reduce or eliminate excessive configuration and run data centers at high temperatures, saving data center cooling costs and improving server utilization. However, if DCIM is a revolutionary technology, why are many IT departments frustrated with implementing DCIM and replacing IT with IT or regard IT as an expensive rack software?

Industry experts believe that enterprise DCIM deployment often fails or succeeds because of the relative status of the three core issues. Let's take a look at these issues.

1. Support of organization management personnel

Most importantly, it is critical to ensure the successful implementation of DCIM with the support of the Organization's management personnel and the recognition of employees. Similarly, as a support technology, DCIM is primarily used by employees to make decisions and take actions based on the data provided by DCIM software solutions.

This requires starting with the organization's Chief Information Officer (CIO) or Chief Financial Officer (CFO). The data center operation and maintenance team must communicate well with corporate executives and cooperate closely, this is critical to ensure continuous DCIM support.

It is equally important that any investment in DCIM should be driven by business needs, and the choice of DCIM products or services will meet these requirements for a long time. Because an organization may not be able to implement all DCIM software functions at a time, it is important to ensure that the features required by its business line are currently purchased.

2. Redesign business processes

DCIM is not just a deployment or installation, but an ongoing project. Therefore, if IT personnel do not have appropriate policies and operational processes to support the software, the ROI of the Organization may be zero.

Most enterprises underestimate the workload required to precisely maintain DCIM monitoring systems and asset data. In most cases, this will be a combination of new processes and the existing processes need to be redesigned.

Therefore, it is critical to plan and redesign the operation process to ensure smooth deployment and maintenance and to achieve the expected ROI. In addition, the re-design of these operational processes requires additional time and other resources, which is an obstacle affecting the successful deployment of DCIM.

3. staffing, training and budget

Before deploying DCIM, the enterprise needs to determine the scope and record the requirements of staff, including managing DCIM software and data itself. Staff training is usually required.

Even with sufficient human resources, it is not surprising that DCIM deployment lacks adequate staffing, because employees are less accepting of it at the beginning of the project.

If the company's traditional DCIM software deployment costs and staffing are two to five times the original project budget, it is also very important to carefully review the budget. Enterprises spend more than expected on deploying peripheral software services, including deployment, DCIM data integration with other data, and ongoing DCIM management and maintenance.

There are, of course, other obstacles that need to be overcome to ensure successful DCIM deployment and to achieve the ROI required, including the integration of software and traditional equipment, and the failure to fully utilize all software functions, especially for IT functions (such as cost analysis data center and IT utilization level ).