IT Operations Analytics Training Course

Overview

IT Operations Analytics (ITOA) is an approach for retrieving, analyzing, and reporting data for IT operations. ITOA is also known as “advanced operational analytics” or “IT data analytics”.

This instructor-led, live training (online or onsite) is aimed at managers who wish to apply ITOA practices to measure, analyze and ultimately improve the performance of their IT operations.

By the end of this training, participants will be able to:

• Apply big data analytics technologies and practices to large datasets generated within an IT department.
• Discover complex patterns in large volumes of IT system availability and performance data.
• Process and analyze data to gain business insights into issues and opportunities.
• Increase revenue and reduce costs.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Requirements

• Experience with IT operations

Audience

• IT managers
• Data analysts
• Business analysts

Course Outline

Introduction

• Using mathematical algorithms to extract meaningful information

Using Predictive Analytics Models to Gain Insight on Human Behavior

Collecting Raw Data from Management and Monitoring Technologies

Understanding the Infrastructure Application Stack through Root Cause Analysis

Ranking the Impact of Multiple Root Causes (Service Impact Analysis)

Real-time Application Behavior Learning

Learning Infrastructure Behavior Using Dynamically Baselines Threshold

Determining Which Problems to Go After

Evaluating Analytics Technologies

Carrying Out Machine Learning on Big Data Using an AIOps Platform

Integrating Operations Data Silos

Continuously Fixing and Improving via Automation (CI/CD for core IT functions)

Summary and Conclusion