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Using Core Analytics

A guide on how to use the Core Analytics dashboard to build custom reports, tables, and charts to analyze your operational data.

Updated over 2 weeks ago

Core Analytics is a flexible reporting tool that allows you to explore your Mero data and create customized views to answer specific questions about your operations. You can analyze metrics related to cleaning performance, footfall, consumable usage, and more.

How to Build a Report

  1. Select Core Analytics from the main navigation menu on the left.

  2. Use the controls at the top of the page to build your report.

1. Select Your Metric

This is the primary data point you want to measure. Choose a metric from the dropdown list, such as:

  • Average Visit Time

  • Number of Visits

  • Scope of Work Completed

  • And many more...

2. Group and Split Your Data

  • Group By: This determines how the data is categorized. Think of it as the rows in your data table or the individual lines/bars in your chart. You can group by categories like Building, Floor, or Cleaner.

  • Split By: This adds another dimension to your analysis. Think of it as the columns in your data table or the X-axis in your chart. For example, you could Group By building and then Split By Cleaner to see the performance of each cleaner within each building.

3. Choose a Comparison Period

You can compare your data over time using two main options:

  • Single Period: This compares your chosen time frame to a previous one (e.g., compare this week to last week, or this month to the same month last year).

  • Time Series: This shows you a trend over time. You can group the data Daily, Weekly, Monthly, Quarterly, or Yearly.

4. Select a Chart Type

Visualize your data by choosing a chart type:

  • Bar Graph

  • Line Chart

  • Heat Map (if available for your data set)

  • None (to view only the data table)

Understanding the Output

After you have configured your report, Core Analytics will generate two things:

  1. A Chart: A visual representation of your data based on the chart type you selected.

  2. A Table: A detailed data table showing the numbers behind the chart, with your "Group By" categories as rows and your "Split By" categories as columns.

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