Glossary

What is Change Management? Change management is a structured approach to managing organizational transitions. It focuses on people, processes, and technology to ensure effective adaptation from the current state to a desired future state. This discipline has become increasingly important as businesses face rapid technological shifts and market pressures. Core principles include preparing employees through...

What is RCA? Root Cause Analysis (RCA) is a structured, evidence-based process for identifying the underlying cause of a problem, enabling the implementation of lasting corrective actions rather than merely treating symptoms. What is RCA in the practice of IT Operations? It’s a methodology that moves teams from reactive firefighting to systematic prevention by tracing...

What is Knowledge Management System? A knowledge management system (KMS) is a technology platform that captures, organizes, stores, and shares organizational knowledge to enhance productivity and decision-making. Unlike simple document storage that merely holds files, a KMS creates an intelligent ecosystem where information becomes actionable knowledge through structured processes and advanced search capabilities. At its...

Definition: What is “Event Intelligence Solutions”? This term refers to an advanced system that collects, analyzes, and interprets data from various IT events to deliver actionable insights. Unlike traditional event logging tools, these solutions correlate information from multiple sources, identify meaningful patterns, and prioritize critical incidents automatically. The core components include comprehensive data collection from...

MTTR Definition Mean Time to Repair (MTTR) represents a critical performance indicator that measures the average duration required to diagnose, repair, and restore a failed system or component to full operational status. The metric encompasses multiple interpretations depending on organizational context—Mean Time to Recovery, Mean Time to Resolve, or Mean Time to Restore—with variations reflecting...

Definition Machine Learning Operations, commonly referred to as MLOps, talks about a set of practices and tools designed to bridge the critical gap between machine learning development and production operations. This discipline combines essential aspects of machine learning, data engineering, software engineering, and IT operations to create streamlined workflows for deploying and maintaining ML models...

Definition Site Reliability Engineering (SRE) represents a fundamental shift in how organisations approach operational challenges by applying software engineering principles to infrastructure and system reliability. Rather than treating operations as a separate maintenance function, SRE transforms operational problems into engineering challenges that can be solved systematically through code, automation, and measurement. This discipline combines the technical...

Definition DataOps, short for data operations, represents a modern data management practice that applies software development principles throughout the entire data lifecycle. This methodology combines agile methodologies, automation, and enhanced collaboration across data professionals to dramatically improve the speed, quality, and business value of data-related activities. Rather than treating data management as an isolated function,...

PDPA meaning The PDPA, Personal Data Protection Act, encompasses a comprehensive legal framework designed to regulate the collection, processing, and disclosure of personal data across jurisdictions. Understanding PDPA meaning is becoming increasingly important as organizations navigate increasingly complex data privacy landscapes. The Personal Data Protection Act represents a foundational approach to safeguarding individual privacy rights...

Definition Next-best-action engines (NBA) refer to sophisticated decision-making systems that enable organizations to determine the optimal course of action for individual customers in real-time scenarios. These intelligent platforms analyze comprehensive customer datasets, including historical interactions, behavioral patterns, and preference indicators, to generate actionable recommendations that enhance engagement outcomes and drive conversion rates. The fundamental purpose...