Data Insights - Cafe Telemetry

This article offers a comprehensive overview of the data analysis capabilities available through the Cafe Telemetry page.

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• Why use Cafe Telemetry?
• The components of the Cafe Telemetry Insights page
  
  • The KPI cards
  • The Daily Brew Times scatter plot
  • Brew success and production over time
  • Grouphead usage over time
  • Brews and flushes over time
  • The Grouphead table 

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Why use Cafe Telemetry?

Cafe Telemetry allows you to gather and analyze real-time data from your espresso machine. Our goal is to enhance your experience by providing Cafe Telemetry, which delivers data in a clear and understandable format.

Navigating through a wealth of data can seem daunting at first, but rest assured, we are here to assist you every step of the way.

The components of the Cafe Telemetry Insights page

In the upcoming sections, we will explore each data source in detail, guiding you through the types of data you are collecting and providing insights on how to analyze this information effectively.

1. The KPI cards
2. The Daily Brew Times scatter plot
3. Brew success and production over time
4. Grouphead usage over time
5. Brews and flushes over time
6. The Grouphead table 

The KPI cards

The KPI cards provide the following information: 

• Brews in range | Brews out of range | (Brews) Not evaluated
• Total Brew distribution across groupheads | 1 | 2 | 3
• Total Brews | Total Flushes 

The Daily Brew Times scatter plot 

1. To begin analyzing the Daily Brew Times scatter plot, you must first select the specific Brew you wish to examine by clicking on the dropdown. 
2. Upon selecting the Brew, you will be presented with the Brew times throughout the day, along with their respective time. 
   💡The evaluation of Brews in/out of range on the scatterplot is based on the time parameter only.
   The Brews will be visually represented using three distinct markers:
   
   • Green - In time range
   • Red - Out of time range
   • Orange - Not evaluated 
3. You can navigate through different dates by clicking the arrows at the bottom of the page, allowing you to review past data or revisit specific details whenever you need.
4. By clicking on the "Go to Brews overview" option, you can seamlessly navigate to the Brews table (Brews overview page).
   

Now that you have a solid understanding of the data, let's explore some practical examples to illustrate what consistent daily brewing looks like:

✅  
The chart indicates that the majority of Daily brew times fall within the desired range, as evidenced by the consistent presence of green markers throughout the display.

❌
The chart reveals a lack of consistency in the Daily brew times, as evidenced by a significantly higher number of red markers compared to green ones.

Brew success and production over time

By selecting the checkbox labeled "Show per weekday," you can view the total number of Brews along with their corresponding time aggregates for each day of the week.

Grouphead usage over time

 

Each Grouphead is represented by a unique color, allowing for easy identification, while the percentage of production associated with each Grouphead is displayed.

Brews and flushes over time

• The green bar indicates a Brew.
• The blue bar indicates a Flush.

This allows you to evaluate the relationship between the number of flushes and brews, helping to determine if flushing is being conducted appropriately, whether it is excessive or insufficient.

Let's take a look at the following examples to illustrate examples of effective and ineffective brewing practices in terms of Brews and flushes and Grouphead usage over time:

✅ 
Consistent Brews and appropriate Flushes. In an ideal scenario, you would observe a balanced relationship between brews and Flushes across all Groupheads.

For instance, if a specific Grouphead shows a high number of Brews, accompanied by a reasonable number of flushes, this indicates that the machine is being used efficiently and maintained properly.

❌
The data reveals a disproportionate amount of flushing relative to the number of brews. The excessive number of flushes may suggest that the Grouphead is not being utilized effectively or that there are underlying issues requiring attention.

This situation can result in inefficient use of time and resources, adversely affecting overall productivity and possibly diminishing the quality of the brews.

The Grouphead table 

The Grouphead table provides a detailed summary of the data for the selected timeframe, allowing you to analyze key metrics effectively:

• Average brew pulses

• Average brew time

• Total brews and the percentage of brews on this Grouphead of the total on the machine

• Brews in range, in absolute number and percentage of in range to total (per Grouphead)

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Related content

• Getting started with Cropster Cafe
• Using the Telemetry Insights for connected espresso machines

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Congratulations! You have successfully learned how to analyze your Cafe Telemetry Insights data. 

Your opinion matters. If you have further questions, feedback, or concerns, please feel free to reach out by submitting a support ticket directly from support.cropster.com.