# The intelligent duo: How ServiceDesk Plus + Analytics Plus are redefining modern ITSM for the AI era

**Free webinar**

**Date:** July 28<sup>th</sup>, 2026  
**Time:** 3pm AEST | 11am GMT | 11am PDT

## Presented by

![Zephaniah](https://cdn.manageengine.com/sites/meweb/images/service-desk/images/zef-mc.jpeg)

### Zephaniah
*Marketing Analyst*

![Easwar](https://cdn.manageengine.com/sites/meweb/images/service-desk/images/eeaswar.png)

### Easwar
*Product Marketer*

## Overview

![ITSM and analytics integration](https://cdn.manageengine.com/sites/meweb/images/service-desk/images/redefining-modern-itsm.png)

Your service desk produces a constant stream of data every single day. Incidents, requests, assets, SLAs, and more, with patterns hidden inside all of them. While dashboards give you an operational visibility, it often doesn't help you stay proactive to avoid workload bottlenecks, potential SLA breaches, and more.

But it doesn't have to be this way.

By integrating ManageEngine ServiceDesk Plus with Analytics Plus, you turn raw service desk data into predictive, AI-powered intelligence. In this session, we will show you how to connect the two solutions and put AI-driven ITSM intelligence to work across your operations.

## Key highlights of the session

- Learn how to integrate ServiceDesk Plus with ManageEngine Analytics Plus to unlock advanced, AI-powered reporting and intelligence on your service desk data.
- **Demystify root cause analysis (RCA):** Using Key Driver Analysis via Zia Insights to uncover hidden events and incident patterns driving up ticket volume.
- **Investigate operational anomalies faster with conversational analytics:** Use Ask Zia’s GenAI capabilities to interrogate incidents, accelerate triage, automate RCA, generate incident pattern reports, and proactively identify emerging threat patterns.
- **Prevent incidents spikes and SLA risks before they emerge:** Predict upcoming ticket surges and potential SLA bottlenecks by factoring in multiple historical, operational and seasonal variables via ML-powered multivariate forecasting.
- **Implement predictive asset health monitoring and categorization:** Leveraging ML-driven clustering to group, rank, and flag underperforming assets for proactive service optimization and better asset life cycle management.
- **Accelerate critical ITSM decisions with contextual AI recommendations:** Use Spotlight's context-aware, decision-ready recommendations to cut through the noise and help IT leaders quickly identify what needs attention, why it matters, and the best course of action.