Introducing Monthly Performance Data Insight in AAI: Unlock Efficiency and Drive Results

Video Transcript

Welcome to this Automation Analytics & Intelligence capability video. In this session, we'll dive into the Monthly Performance Data Insight, an exciting feature designed for automation platform owners, application delivery teams, and lines of business.

Discover how this powerful tool provides a high-level view of workload automation performance across business areas over time, helping you identify trends, measure improvements, and enhance service delivery. It’s a game-changer for driving efficiency and collaboration across your teams.

Join Jennifer Chisik, Product Manager for Automation Analytics & Intelligence, as she showcases the value of this incredible new capability in AAI.

Introduction to monthly performance data insight

Let’s start with the Monthly Performance Data Insight. This is a business-focused data insight that provides a heat map, allowing you to see how your business services are performing month over month. It highlights which services are adhering more closely to their SLAs and helps you spot which lines of business are improving or degrading in performance.

Let’s take a look at what that looks like within AAI.

Exploring the Data Insights page

On the Data Insights page, you’ll notice a Type column. There is a new type of data insight called Business Area Monthly Performance. You can create new insights, but I already have one here that I’ve named Last Year’s Performance.

When I click on it, I can see the entire system’s performance across all lines of business. The percentages represent the proportion of time these lines of business are meeting their SLAs. Specifically, it shows the percentage of time SLAs are met.

Green boxes indicate that a line of business is regularly meeting its SLAs. Red boxes signal trouble areas that may need attention.

For example, when looking at the Financial Services line of business, I can see that performance is improving. In October, SLAs were met 73% of the time. Moving into November, December, and January of 2025, the percentages continue to improve.

You can also see detailed numbers, such as how many late runs or SLA misses occurred compared to the total number of runs in a given month. At any point, you can drill into the data.

For example, if I drill into January, I can see the sub-business areas under Financial Services and identify which ones made or missed their SLAs the most.

Returning to the overall view, it’s also possible to examine individual job streams within a line of business. For instance, if I go into Financial Services and further into Finance, I can see that within the finance line of business, there are clear problem areas.

For example, the Market Price sub-business area missed its SLAs 58% of the time in July. However, performance has significantly improved, reaching 100% SLA adherence in January.

Summary

This high-level view allows you to understand how your automation business services are performing. With this tool, you can identify trends, measure performance improvements, and focus on areas requiring attention.

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