Built-in LucityAM Analytics

I’ve been hearing the term “analytics” used more often within the context of Enterprise Asset Management (EAM) system functionality, and have paused to consider what it means to us and our client community. We know that EAM systems like LucityAM are “data hungry”, and we can satisfy those appetites by feeding them mounds of facts and figures. But then what? How are we to apply analytics to transform raw data into actionable intelligence on which we can confidently base important decisions?

When contemplating analytics, what springs to mind is sophisticated decision models and intensive number-crunching yielding answers to questions we didn’t know to ask. No doubt for some business decisions (i.e. capital planning), advanced methods/tools are warranted to justify significant investments and major projects. At the 2015 Lucity Regional User Group (RUG) Meetings, Innovyze is discussing one such advanced analytics tool – their InfoMaster capital planning software for water and wastewater networks.

But simple methods/tools can be used to perform meaningful analytics that offer value to more common day-to-day operational decisions. In this post I will identify some of the built-in features of LucityAM for analytics.


Simple analytics is “query, sort and report” based on some criteria applied to your data. Organizing and communicating data through a report can expose some telling patterns and offer insight. Did you know that there are more than 4,000 standard report templates provided with LucityAM Version 2015 (and more are added with each release)? Many are designed with calculations that deliver statistical results ready for evaluation.


Visualization of spatial data through “query and map” offers intuitive analytics. A couple of examples – mapping of service requests associated to a specific problem can quickly identify some “hot spots” that require attention; and mapping work orders by field crew can provide a quick take on productivity, and give a sense of how much ground each crew has covered. And as Andrea Fowles (@LucityAndrea) shows in the “Taking a Closer Look: Live Work Orders” video recently posted, the Lucity Spatial Indexer process offers temporal analytics with your mapping – such as viewing status changes of requests and work orders in real-time, and looking back over a specific timeframe to view activity history.


Speaking of real-time analytics, the Lucity Dashboard can be used to serve up very specific reports to particular users. With a single click, the user can get the latest information they care most about. Analytics through Key Performance Indicators (KPIs) is typically done through the Dashboard – perhaps with a Crystal Reports or SSRS gauge-type report view showing a critical parameter you’re measuring (say crew production on a work order task) is within, above or below the acceptable range. Did you know new and improved Dashboard capabilities are in the works? Access to the beta version of the new Lucity HTML Dashboard is provided with LucityAM Version 2015.

Work Planning & Budgeting

Did you know the Planning & Budgeting module is included with Lucity Work? If you have work order capabilities with your LucityAM system, you have Planning & Budgeting capabilities. But what are those, and how are they applicable to analytics? In a nutshell, Planning & Budgeting allows you to 1) define desired “Activity Work Plans” with associated schedule and budget; 2) identify the resources needed to complete each activity, and define the expected accomplishment rates; and 3) track actual progress (through completed work orders) toward each Plan. Analytics provided through standard report templates can summarize information needed to optimize budget and resource requirements.

As always, let us know if we can answer any questions for you.

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