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Dashboards for Manufacturing
Analytics provides maintenance overview dashboards that allow you to drill down into your applications' data giving you a bigger picture into the work your organization is doing. *Note: Not all clients are eligible for Analytics. To learn if you are eligible, contact Client Services.
Your dashboard updates every morning with the current year's data through the previous day as well as two previous calendar years of data. You can see the Last Updated time stamp in the top left corner of your dashboard. *Note: Time shown is in Eastern time zone.
Within some dashboard tables you may be able to expand categories () to view a further breakdown of your data. Also keep an eye out for triangle icons (
) in the x- and y-axis titles of the dashboard charts. This indicates that there are other metrics that can be selected for that chart.
Maintenance dashboards
The Dashboard is the default view you will see when you access Analytics. To get back to it if you navigate away:
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Click the Maintenance menu icon, then select Dashboard.
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Use the View by: drop-down in the top center of the screen to select the dashboard you want to view.

This dashboard provides you with a summary of work order counts to view a snapshot of your operations across your organization.
Work orders
Click the tabs at the top of this section to view the available tables:
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Status Category: Work order counts by Status Category
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Status Category and Status: Work order counts by Status Category and Status
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Site, Status Category and Status: Work order counts by Site, Status Category and Status
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Origin: Work order counts for PM vs. Non-PM work
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Origin and Site: Work order counts by Origin and Site
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Date Created: Line graph that displays number of created work orders over time

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Metrics for Status Category, Status Category and Status, and Site, Status Category and Status:
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PM: Number of PM work orders (Origin Type is PM).
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Non-PM: Number of Non-PM work orders (Origin Type is Non-PM).
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Hours: Sum of total hours.
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Cost: Sum of total cost with tax.
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Past Due: Count of the number of past due work orders. A work order is past due if the Status Category is "Assigned" and the Expected date on the work order is before the current day.
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Ratio PM to Non-PM: Number of PM work orders divided by the number of Non-PM work orders.
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Metrics for Origin and Origin and Site:
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Assigned: Number of work orders where Status Category is "Assigned".
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Completed: Number of work orders where Status Category is "Completed".
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Percent Completed: Number of work orders where Status Category is "Completed" divided by number of work orders where Status Category is "Assigned" or "Completed".
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Hours: Sum of total hours.
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Cost: Sum of total cost with tax.
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Past Due: Count of the number of past due work orders. A work order is past due if the Status Category is "Assigned" and the Expected date on the work order is before the current day.
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Work Order Insights
Click the tabs at the top of this section to view the available tables and graphs. Use the triangle icon () in each graph to change what is being measured in the graph.
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Causes: Displays the number of work orders, total work order cost, or total work order hours by Cause.
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Problems: Displays the number of work orders, total work order cost, or total work order hours by Problem.
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Work Type: Displays the number of work orders, total work order cost, or total work order hours by Work Type.
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Work Category: Displays the number of work orders, total work order cost, or total work order hours by Work Category.
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Work Order Details: Table that displays individual work order data with important fields such as Site, Location, Origin, Status, and more.
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% of Work Orders: Pie chart that displays the percentage of work orders by Priority, Work Type, Work Category, Site, or Location.
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Created vs Completion Time: Line graph that displays the number of work orders that were created or completed during a specific hour of the day.

This dashboard shows open work order counts grouped by days aged, such as 0-3 days or 7-14 days, to identify barriers within your operations.
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Cells that are highlighted have over 5 open requests.
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Each column is highlighted with a different color to indicate the increase in time.
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The Totals column is highlighted when there are over 20 requests.
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Open requests include work orders that display any of the following keywords in the Status field: "In Progress", "Open", "New", "Approve", or "Incomplete".
Work Status Open Heat Map
Displays a count of work orders, sorted by Work Status, that have been open for a specific number of days, such as 0-3 days or 7-14 days.
Work Priority Open Heat Map
Displays a count of work orders, sorted by Priority, that have been open for a specific number of days, such as 0-3 days or 7-14 days.
Work Category Open Heat Map
Displays a count of work orders, sorted by Work Category, that have been open for a specific number of days, such as 0-3 days or 7-14 days.
Work Problem Open Heat Map
Displays a count of work orders, sorted by Work Problem, that have been open for a specific number of days, such as 0-3 days or 7-14 days.
Work Cause Open Heat Map
Displays a count of work orders, sorted by Work Cause, that have been open for a specific number of days, such as 0-3 days or 7-14 days.
Work Order Details Open Heat Map
This table displays open work order details and shows which day range each work order falls into, such as 0-3 days or 7-14 days.

This dashboard gives insight into the allocation of work across your teams, their productivity, and how to increase efficiency at your organization.
Average Days to Complete
Displays a trend showing the average number of days to complete work orders throughout the year.
Average Days to Complete by Assignee
Displays the average number of days it takes to complete work broken down by assignee.
Total Labor Cost
Displays a pie chart showing the percentage of labor cost tracked, broken down by assignee.
Total Work Orders by Assignee
Displays the total number of PM and non-PM work orders, based on the origin field, broken down by assignee.
Work Order Completion by Assignee
Displays the number of work orders completed per assignee per year.
Work Order Hours by Assignee
Displays the total number of labor hours per assignee.
Assignee Work Summary
Displays the PM on-time completion percentage, average days to complete non-PM work, total work order hours and costs per assignee.
Work Order Details by Assignee
Displays a table with work order details including the assignee and how many days it took to close the work order.

This dashboard sheds light into how assets are performing and clearly identifies where attention might be needed to keep your operations running smoothly. *Note: A downtime work order is considered a completed, non-PM work order that is attached to an asset.
Runtime is determined differently on the Asset Health dashboard and the Meter Readings dashboard:
On the Asset Health dashboard, Runtime is equal to the time since an asset was purchased or added to the system, assuming the asset runs 24 hours a day, 7 days a week.
On the Meter Readings dashboard, Runtime is determined using the meter readings that belong to the meter titles on an asset.
In both of these views, Uptime is then derived by subtracting Downtime from Runtime.
Overview
Displays the total number of completed downtime work orders, the sum of downtime, the total of mean time to repair (MTTR), and the total of mean time between failures (MTBF).
Asset Overview
Displays the number of completed downtime work orders by asset, problem, and cause, as well as the total cost of all downtime work orders per asset.
Downtime Overview
Displays the amount of downtime on completed work orders by cause, asset and problem.
The chart also displays the amount of downtime on completed work orders by request year, month, week, and day.
- After selecting the Time tab at the top of the chart, you will see the data broken down by Request Year.
- To drill down further to see the months, weeks, and days for a specific year, click on the appropriate year's bar in the chart.
- Click the green checkmark to confirm your selection.
- The graph will refresh and now be broken down by the months within that year.
- You can continue to click on specific months, weeks, and days on the chart to drill the chart down even further.
- To go back to a previous selection, click the appropriate 'Request' link (
) in the x-axis depending on how far you want to drill back. For example, if you have drilled down to show each month within the year 2019, and you want to go back to just showing each request year, then you would click Request Year in the x-axis label.
Asset Downtime Details
Displays a table with asset downtime details including the number of downtime work orders and the amount of downtime per asset.

This dashboard gives a detailed view of meter reading data showing asset downtime and uptime which can help you identify problem assets.
Runtime is determined differently on the Asset Health dashboard and the Meter Readings dashboard:
On the Asset Health dashboard, Runtime is equal to the time since an asset was purchased or added to the system, assuming the asset runs 24 hours a day, 7 days a week.
On the Meter Readings dashboard, Runtime is determined using the meter readings that belong to the meter titles on an asset.
In both of these views, Uptime is then derived by subtracting Downtime from Runtime.
Meter Reading Summary
Displays a table with asset details including the number of meter readings and number of downtime work orders per asset.

This dashboard helps you gain insight into the health of your assets based on meter reading trends over time. The filters on the left side of the dashboard allow for the selection of different Asset Categories, Asset Names and Numbers, Meter Names and Numbers, Years, and Months. *Note: Machine Health Summary data is only available for clients with meter readings in Asset Essentials. Learn more about entering Meter Reading data in Asset Essentials.
Meter Value Read by Date Read
Select a Meter (Meter Name and/or Meter Number) and an Asset (Asset Name and/or Asset Number) in the filter section in order for the graph to populate. This line graph contains four trendlines:
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Value Read - represents the meter readings at different points in time.
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Minimum Threshold - represents the user-defined minimum threshold for the selected meter.
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Maximum Threshold - represents the user-defined maximum threshold for the selected meter.
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Linear Trendline - appears as a dashed line on the chart and represents the best-fit regression line.

The slope, or incline, of the linear trendline is used to highlight meters that may be steadily approaching the minimum or maximum thresholds. For example, a linear trendline may reveal an increasing trend over time, whereas on a day by day basis, it may be difficult to see that values are steadily increasing.
The points on the line graph can be used to easily see when the meter reading is outside the set minimum or maximum thresholds. For example, if a meter measures the temperature of a certain asset, and the meter reading temperature value is above the threshold maximum during a certain time period, further investigation into the related work orders during that time period may help uncover if the asset was functioning optimally or needed a repair. Meter reading values that fall outside of the set thresholds, especially at an increasing rate, may also be a helpful leading indicator that an asset could be about to fail, and some preventive maintenance may be beneficial.

The linear trendline is derived by minimizing the sum of squared errors, or essentially minimizing the distance between the trendline and each actual value. The trendline is fit using the linear regression equation, y = mx + b.
Meter Reading Details
This table provides the raw data for the information displayed in the line graph. It displays several columns, including Asset Number, Asset Name, Meter Title Name, Date Read, Value Read, Threshold Min. and Threshold Max, as well as a color-coded status indicator. The average and standard deviation of the selected meter’s readings are also calculated and shown at the end of this table.
The Meter Title Name is color coded as either red, yellow, or green. The color of the meter title reflects the relationship between the meter readings and the user-defined thresholds.
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Red
: The meter readings have exceeded the minimum or maximum thresholds in the past 365 days.
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Yellow
: The meter readings have not exceeded the minimum and maximum thresholds but the slope of the linear trendline is either greater than 0.5 or less than -0.5, indicating that there is either a steep increase or steep decrease, respectively. This helps to highlight assets that may be steadily approaching either the minimum or maximum thresholds.
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Green
: The meter readings are relatively stable. The values have not exceeded the minimum and maximum thresholds and the slope of the linear trendline is between -0.5 and 0.5, meaning the trendline is not too steep.

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The Average Value Read for Meter column calculates the average value for the meter over all time. This can be used to compare individual meter readings to the overall average, especially the most recent readings.
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The Standard Deviation Value Read for Meter column calculates the standard deviation of the values read for the meter over all time. The standard deviation represents the amount of dispersion in a set of values. This statistic gives an estimate for how far individual meter reading values tend to be from the average meter reading value. Higher standard deviations indicate that the meter reading values tend to be more spread out, which could be useful in anticipating meters that may exceed threshold values. It is also worth noting that standard deviation tends to be more sensitive to outliers, or large spikes in the meter reading data, which could be used to highlight meters that have had significant spikes and need attention, even if they have not exceeded the user-defined thresholds.
Work Order Details
This table displays all the work orders related to the selected meter and includes the date created, date completed, description of the work, and whether the work order was a PM work order or a non-PM work order. This data gives you the ability to assess the amount of maintenance associated with an asset in light of the status of its associated meters. For example, assets that have meters that are in either red or yellow status may benefit from additional or more frequent preventive maintenance. You also have the ability to see if a preventive maintenance schedule was created in response to a meter exceeding one of the user-defined thresholds, based on the date of the meter reading and the date of the work order.

This dashboard helps you to learn more about the problems associated with work orders to determine trends in maintenance needs.
Problem Totals
Displays the work order count by Problem. Use the triangle icon () to view total work order cost.
Problem/Cause Totals
Displays the work order count by Problem and Cause. Hover over a color to see the work order count for that specific Cause. Use the triangle icon () to view total downtime, total work order cost, or total work order hours.
Work Order and Problem Details
Displays a table with work order details including the age of the work order and the cost.
Problem Completion Results
Displays a table with work order completion details for different calendar years. It only includes completed work orders for the top ten Problems.

This dashboard allows you to learn more about the causes associated with work orders to determine trends in maintenance needs.
Cause Totals
Displays the work order count by Cause. Use the triangle icon () to view total work order cost.
Cause/Category Totals
Displays the work order count by Cause and Work Category. Hover over a color to see the work order count for that specific Work Category. Use the triangle icon () to view total downtime, total work order cost, or total work order hours.
Work Order and Cause Details
Displays a table with work order details including the age of the work order and the cost.
Cause Completion Results
Displays a table with work order completion details for different calendar years. It only includes completed work orders for the top ten Causes.