It is a huge challenge to improve an organization's efficiency when it comes to performance management. Most organizations have a base-level performance management system in the technology and IT sector. For example, setting financial goals and looking into KPIs that elevate their businesses forward. Nevertheless, optimizing KPIs according to their needs can be a challenging task.
The Data & Analytics process has a life cycle needed to collect, store, manage, and share data correctly. The cycle includes five interrelated pillars with a symbiotic relationship that allows a company to progress from one pillar to another.
