While most organizations continue to rely on SLAs, some companies are setting a new course for measuring the value of IT support. The winners could be named as “support leaders”—companies that were providing highly effective IT support. On the other hand, If you compare their answers to those of organizations that we can call as “support laggards”—those struggling to address the support challenge. Well, the observation is that leaders escaped the SLA trap and adopted more business-oriented metrics to gauge their effectiveness. Such metrics are far different from the typical “the technology is working” measurements. For instance, a business unit with a printer problem that required a technician to be dispatched to make a repair. The technician replaced a part on the printer but inadvertently erased all the settings and failed to test the printer to see if it worked after completing the repair. The technician saw the issue as resolved: He replaced the part. Yet after he left, no one could print documents because the printer needed to be reprogrammed. The technician met his SLA. But the users were far from happy, and their productivity was compromised unnecessarily.
In the ever-evolving IT realm, managed services act as unsung heroes, harmonizing tech behind the scenes. Blending AI, ML, and Data Engineering, they navigate the convergence of internationalization and cutting-edge tech—quantum computing, edge computing, multiple clouds, and IoT. Data engineering crafts seamless information pathways, while AI and analytics add intelligence, automating tasks and predicting issues. From Silicon Valley to Bangalore, the backstage crew leverages AI-driven insights
No comments:
Post a Comment