The primary objective of most IT departments in moving to a dynamic data centre is to automate 80 percent of existing requests so that they can be fulfilled with minimal staff intervention, while ensuring that the other 20 percent (which are typically more complex and custom) can be given the attention and expertise they deserve.
Automating such routine tasks as server provisioning and configuration management can make the IT department as a whole more productive. Moreover, removing the human element where it is unnecessary significantly increases user satisfaction and speed of delivery. It also reduces risk because it decreases manual errors, heavy redundancies and painful time lags synonymous with email-based and ticket-based systems.
The key is to fully automate service delivery today and leverage that foundation as an integral part of the infrastructure — one where self-service extends to any and all technologies including private and public clouds — in the future. As a result, organisations can successfully optimise resources across the operational environment, freeing up additional working capacity to support ongoing and increasing business demand. To that end, they must:
Step No 1: Automating and integrating service catalogue and service request delivery
While a service catalogue publishes standardised IT offerings, it is only as effective as the technology and processes it supports. Too often, enterprises are marred by multiple request portals and inconsistent procedures that leave internal customers confused and frustrated. Systems backed by email communications and ticket applications feel like black holes because there is no visibility into status for users and an abundance of redundancies and time lags on both sides.
What’s more, this lack of standardisation creates a situation where every request is treated as entirely new, leading to a tendency to reinvent the wheel and an IT environment where inconsistency and unapproved configurations are the norm — and the cost of delivery is high.
The answer is to first empower users with self-service capabilities that create necessary structure and enrich the overall experience in such areas as incident management, knowledge management, support automation, labs on demand, service requests, and subscription and request fulfillment and provisioning.
Continued on page 2
Page: 1 2
US widening lead over China on AI development, as UK places third in Stanford index…
Amazon to invest a further $4bn into AI start-up Anthropic, doubling its investment as it…
The demand for tech skills is surging, driving economic growth but revealing challenges. Financial costs,…
US Supreme Court tosses Meta's appeal over Cambridge Analytica-linked investor lawsuit, meaning case must proceed
Uber reportedly seeks $10m stake in Chinese autonomous driving firm Pony AI via US IPO,…
iPhone maker reportedly developing next-generation AI large language model for Siri for spring 2026 as…