Operations | Monitoring | ITSM | DevOps | Cloud

The Information Technology Infrastructure Library (ITIL) Service Asset and Configuration Management process, described in its Service Transition guide, requires IT organizations to establish and maintain a configuration management database (CMDB) to keep track of configuration items (CIs) and the relationships between them. An up-to-date and functioning CMDB is one of the most important indicators of ITIL implementation success.

Accuracy in supply chain operations means so many things. There’s the obvious order accuracy in fulfillment, and all that comes with it — KPIs met, customer satisfaction ratings, etc. Every one of these is important. But there are several ways that improving accuracy affects the business, so we’re looking at how operations teams hit the target with help from voice-enabled applications.

Too often, we in IT get so busy performing the day-to-day work and fighting the many fires that come at us each day that we neglect to take a moment and focus on ways we can be strategic about how we do our jobs. When building or expanding IT Service Management offerings, it’s important to understand how taking time to focus on service strategy can greatly improve the efficiency of service delivery. First, let’s begin by defining a few terms.

This article will explain what IT services are, what types exist, the different ways to purchase and organize IT services, and the advantages that effective IT services bring to your company.

Using real-time asset tracking, data centers can identify the exact location of any given asset at any given time. This can be extremely useful in ensuring that available resources are optimally utilized. For instance, understanding the current status and location of servers, racks, and other hardware can streamline maintenance operations and reduce downtime.

Among other reasons we’ve talked about, many retailers are looking at AI-powered pricing solutions because they feel confined by strict sets of pricing rules and policies, often put in place many years ago—long before modern data science was even a concept.