Documentation
A starting point for evaluating the Allure collection and preparing your project.
Allure KPI Card
Give every KPI a clear context, from the current value to the target and the trend.
What to evaluate
Actual, prior-year and forecast comparisons; Absolute and percentage variance indicators; Sparklines, column trends and integrated variance; Target bars, bullet charts and multiple KPI layouts.
Prepare your requirements
Identify the audience, key measures, data model and the reporting decisions this product needs to support.
Confirm compatibility
Before installing a visual or deploying a dashboard, confirm supported Power BI versions, organisational policies, licensing and any distribution restrictions with Allure Analytics.
Plan your rollout
Agree the visual configuration, testing criteria, documentation and support arrangements. Validate the solution using your own business data before production use.
The Charts
Bring comparisons and trends into a focused reporting experience that invites exploration.
What to evaluate
Line, area, column and bar charts; Integrated variance and actual/forecast comparisons; Waterfall bridges and Sankey financial flows; SPC control charts and process capability statistics.
Prepare your requirements
Identify the audience, key measures, data model and the reporting decisions this product needs to support.
Confirm compatibility
Before installing a visual or deploying a dashboard, confirm supported Power BI versions, organisational policies, licensing and any distribution restrictions with Allure Analytics.
Plan your rollout
Agree the visual configuration, testing criteria, documentation and support arrangements. Validate the solution using your own business data before production use.
The Matrix
Give complex reporting structures room to breathe, with readable hierarchies and meaningful totals.
What to evaluate
Table and chart views with expandable hierarchies; Actual, prior-year and plan variance analysis; Custom formulas, columns and subtotals; Row search, conditional rules and Top N controls.
Prepare your requirements
Identify the audience, key measures, data model and the reporting decisions this product needs to support.
Confirm compatibility
Before installing a visual or deploying a dashboard, confirm supported Power BI versions, organisational policies, licensing and any distribution restrictions with Allure Analytics.
Plan your rollout
Agree the visual configuration, testing criteria, documentation and support arrangements. Validate the solution using your own business data before production use.
The Filter Box
Make filtering a clear part of the reporting experience, so the right view is always within reach.
What to evaluate
Date, fiscal year, quarter, year and month filters; Quick period selections; Individual and global clear controls; A compact, collapsible filter container.
Prepare your requirements
Identify the audience, key measures, data model and the reporting decisions this product needs to support.
Confirm compatibility
Before installing a visual or deploying a dashboard, confirm supported Power BI versions, organisational policies, licensing and any distribution restrictions with Allure Analytics.
Plan your rollout
Agree the visual configuration, testing criteria, documentation and support arrangements. Validate the solution using your own business data before production use.
The Plant KPI Dashboard
Bring the metrics that matter to manufacturing teams into one considered performance view.
What to evaluate
OEE, OOE and TEEP performance views; Availability, performance and quality analysis; Reliability, downtime, Takt, SMED and FPY sections; Cpk, energy, hourly rate and production loss context.
Prepare your requirements
Identify the audience, key measures, data model and the reporting decisions this product needs to support.
Confirm compatibility
Before installing a visual or deploying a dashboard, confirm supported Power BI versions, organisational policies, licensing and any distribution restrictions with Allure Analytics.
Plan your rollout
Agree the visual configuration, testing criteria, documentation and support arrangements. Validate the solution using your own business data before production use.