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The first time-series chart, KDS Penetration Over Time, is intended to illustrate, using superimposed line charts, the evolution of KDS penetration throughout the dashboard user’s selected time period, compared to past years over the same time period. Each line represents a different year’s KDS over the user’s selected reporting range. Within this chart, users should have the option to drill up or down on the reporting cadence (e.g., daily, weekly [fiscal], monthly, quarterly, annually). For example, if the user inputted the time range as [Start Date] 2023/01/01 to [End Date] 2023/10/01 and drilled down the reporting cadence to “weekly”, the chart would show weekly KDS penetration overtime for January to October, in 2021, 2022, and 2023.
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The fourth time series, Scan & Pay First Time Purchasers, is intended to show the evolution of Scan & Pay adoption over time; that is, whether more people are using Scan & Pay for the first time, overtime. Similar to the previous chart, users should have the option to drill up or down on the reporting cadence (e.g., daily, weekly [fiscal], monthly, quarterly, annually). This chart will also feature bars representing the nominal number of Scan & Pay first time purchasers for each cadence that the user drills down to (eg: each month, if they choose “monthly”) across the user’s selected reporting range. For example, if the user inputted their time range as [Start Date] 2023/01/01 to [End Date] 2023/10/01 and drilled down the reporting cadence to “monthly”, the bars will show the nominal number of guests who are using Scan & Pay to make a purchase for the first time ever in each month, from January to October 2023.
View #6:
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Loyalty Metrics
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https://rbictg.atlassian.net/wiki/x/aYBmCQE
Technical Specification
To meet the objective of the initiative, Data Engineering will support with the following:
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