• Using Performance Data
  • Project Analysis
  • Portfolio Analysis
  • Deeper Analysis

Using Performance Data

Performance data is the key to understanding how your project is performing in near real time. but you might ask, "what is performance data?" Great question!

Performance data is the planned vs actual outcomes of all work at an activity day level. Traditionally, construction plans and output are measured by activities or milestones. Whilst these approaches are valid and valuable for project managers, each have critical limitations. Activity level analysis can be skewed as it treats all activities as equal, regardless of duration and it encourages low detail planning amongst the team. Milestone analysis can be overly narrow by missing delays outside of the path to a milestone and it encourages performance on the milestone path.

Because each day of work on site is a unique step in progress with its own challenges, Aphex Planner treats each day of every task as an individual piece of work. This is what we refer to as an activity day. Stored against every activity day are the planned attributes such as subcontractor, resources, quantities as well as actual attributes such as actual quantities. Each activity day has a success or delay outcome and each delayed activity day demands a root cause.

This approach is unique to Aphex Planner and provides not only very granular and scalable data to projects and companies for analysis, but also, data that is more real time and actionable to the project as work is progressing.

Finding ways to use Performance Data to drive productivity and efficiency at the site, project and company level is at the core of our mission so the tooling available is expanding daily. Let's cover its use today.

Project Analysis

Insight features such as the full Analyse page tooling and project history of greater than 30 days can be unlocked in the Standard or Enterprise tiers

Project level analysis is designed to equip project teams with simple and direct insight into the performance of their project and help surface and prioritise the areas needing intervention and improvement.

Project Analysis can be accessed within each project by navigating to the Analyse page. In this dashboard, users can see performance data for their active filters across the configured time range.

Did you know? In Deliver Mode the Analyse page will show performance data from your team

The key metrics presented in the Analyse page are;

  • Success Rate: The total number successful days divided by total number of planned days
  • Delayed Days: The total number of activity days within the configured filter with a delay attached
  • Successful Days: The total number of completed or committed activity days within configured filter
  • Planned Days: The total number of Activity Days within the configured filter
  • Failure Rate: The inverse of the success rate

Portfolio Analysis

Performance Data isn't limited to a single project. Largely standardised data enables collections of projects, companies or mega-projects to undertake the same performance analysis across many Aphex Planner projects.

To access the combined Analyse dashboards, simply navigate to All Projects (Jump To ↦) and select the Dashboard tab

This feature is available to all tiers however, Basic tier projects will only show data from the past 30 days

Deeper Analysis

Many planners, project controls experts and company data teams will ask, "can we do more with is data?" The answer is yes. Our goal is to provide teams and projects access to their data in any way that can help drive productivity.

We are committed to building enhanced tooling to analyse performance deeper within the Aphex applications but also provide a full Delay Export tool to allow Standard or Enterprise projects to export all their performance data to a CSV file.

Did you know? We are working to release Insight, an analytics app in the coming months.

Finally, Enterprise tier customers can enable access to their performance data via API. Want to learn more about using your performance data?

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