Create dashboard

For more information, see the online learning platform

Dashboard

Note that a dashboard is always related to a DATAmaestro Analytics project.

To create a dashboard:

Enter on DATAmaestro Analytics project. On the vertical menu bar, click on the first icon , click on View.
Enter a Dashboard Name.
Click on Create.
Put the New dashboard name.
Click Create.
Click on Add widget.
If you don't want to save the changes, click on Stop Icon .
Click Save.
Click on Clone in More Actions to clone the dashboard.
Click on View Full Screen to display the dashboard in full screen.

There are two types of widgets available in DmD:

Static widgets: Select from existing visualization tasks in the corresponding DmA project.
Real-time widgets: Visualize real-time data directly from DM Lake (DmL).
Combined widgets (Static & Real-time): Combine existing models from DM Analytics with real-time data and a combined Histogram that shows the historical data from a chart in Analytics and the live value in the Lake.

DATAmaestro Analytics Widgets:

Add Widgets to your Dashboard

Click + Add Widget beside the dashboard name.
Select a widget in Viewer.
Enter a Title for this widget.
Position tab, click on Width and Height to enter manually the width and height of the widget.
Enter a value for X and Y to position manually the widget.

Static:

Add Data table

This widget inserts a data table based on an existing task in the corresponding DmA project.

Select in Viewer Data table.
Enter a Title for this widget.
Select a Task. The list contains existing tasks (data sources, function variables and variable sets).
Click OK.
Click on Previous or Next buttons to go through the data table.

Add Histogram

This widget inserts an existing histogram from the DmA project. Static Histogram shows a chart saved in an Analytics Project using historical sampled data.

Select in Viewer Histogram.
Enter a Title for this widget.
Select Task. The list contains all histograms created in the DmA project.
Click OK.

In Histogram, you can see “Info” bar showing x-axis values and legend item label on hover.

Add Scatter plot

This widget inserts an existing scatter plot from the DmA project.

Select in Viewer Scatter plot.
Enter a Title for this widget.
Select Task. The list contains all scatter plots created in the DmA project.
Click OK.

Zoom in on Static widgets and get updated statistics

Add Trends

This widget inserts an existing Trend from the DmA project.

Select in Viewer Trends.
Enter a Title for this widget.
Select Task. The list contains all Trends created in the DmA project.
Click OK.

Add Box plot

This widget inserts an existing box plot from the DmA project.

Select in Viewer Box plot.
Enter a Title for this widget.
Select Task. The list contains all scatter plots created in the DmA project.
Click OK.

Add Record set summary

This widget inserts the rules for an existing record set from the DmA project.

Select in Viewer Record set summary.
Enter a Title for this widget.
Select Task. The list contains all record sets created in the DmA project.
Click OK.

Add Data report

This widget inserts an existing data report from the DmA project and allows the user to customize the variables to be displayed.

Data reports are available under Reports -> Data Export in Analytics and show a table of selected variables with or without a filter.

Select in Viewer Data report.
Enter a Title for this widget.
Select Task. The list contains all data exports created in the DmA project. For more information refer to the DATAmaestro Users’ Guide).
Select Mode. There are three options: All variables, Selected Variables and Custom.
Click OK.

Mode

Description

All variables

All variables in the existing Data Export will be displayed. Note: All variables, in this case, refers only to variables contained in the Data Export, not all variables in the project.

Selected variables

Select the variables to be displayed from the current Data Export variables list. To add variables:

Click on the + Add row.
Define the label to be displayed on the dashboard for each variable.
Repeat for the selected number of variables.

Custom

For advanced users: A selection of variables can be defined using JAVAscript.Example: The following example provides JavaScript for one variable “Tag1” with the label “temperature” and headers activated. Not showing all variables (showAll = false).

Custom mode

[
{
"header": true,
"attributeName": "FI_Coal_Petcoke_mix_feed"
},
{
"header": true,
"attributeName": "Meal_feed_A"
}
]

Create a Data Export in Analytics and show it as a table on the Dashboard

For example, create a table to show the last week’s production results including the product type and quality produced.

Add Summary Chart

This widget inserts an existing summary chart created in the DmA project.

Select in Viewer Summary Chart.
Enter a Title for this widget.
Select Task. The list contains all summary charts created in the DmA project.
Click OK.

Add Summary Chart Table

This widget inserts an existing summary chart table created in the DmA project.

Select in Viewer Summary Chart Table.
Enter a Title for this widget.
Select Task. The list contains all summary charts created in the DmA project.
Select property to Display all intervals as a table, if reauired.
Click OK.

Visualize reporting information using Summary Charts and Tables on Dashboards

Add Decision tree

This widget inserts an existing Decision Tree from the DmA project.

Select in Viewer Decision tree.
Assign a Title to this widget.
Select Task. The list contains all decision trees created in the DmA project.
Click OK.

Control View of the decision tree:

Menu item	Name	Description
	Reset	Reset zoom to the original level
	Zoom	Activate Zoom in or out
	Legend	Legend containing information of the decision tree: symbols and related colors, learning and test sets success rates.

Add PRIM analysis results

This widget inserts the existing PRIM analysis result table (Rules tab) from the DmA project.

Select in Viewer PRIM analysis.
Assign a Title to this widget.
Select Task. The list contains all PRIM models created in the DmA project.
Click OK.

Add Pareto for tree-based models

This widget inserts any existing Tree-based model (Decision Tree, Extra Trees, etc) from the corresponding DATAmaestro Analytics project.

Select in Viewer Pareto for Tree model.
Assign a Title to this widget.
Select Task. The list contains all decision trees created in the DmA project.
Click OK.

Add a Title

Organise information on your Dashboard using the new Title Widget.

Select in Viewer Title.
Assign a Title to the dashboard.
Select a Background color with the color picker.
Select the Font Size of the title text.
Select the Color of the title text.
Click on the Center checkbox to center the title, otherwise the title will be placed on the left hand size.
Click OK.

Add a Navigation Button

To allow the navigation between different dashboards. Use the editor to define the button layout and the dashboard to be linked to:

+ Add a New Link.
1. Select the Project Id.
2. Select a Dashboard from the list.
3. Enter the Display value, the text to be diplayed at the button.
4. To remove the button click on the trash icon.
Select the Font Size of the button text.
Select the Show external link icon, this is the link icon.
Select Capitalize, if you want to write the text in capital letters.
Select Bold, if you want to write the text in bold.
Click OK.

Real-time:

For more information, see the online learning platform

Add Real time trends

This widget allows the user to customise real-time trends with numeric and symbolic variables and data from DATAmaestro Lake.

Select in Viewer Trends.
Assign a Title to this widget.
Select Refresh Period. This defines the interval at which the trend will be refreshed and new data will be displayed. Values can vary from 1 second to more than 24 hours. If No interval the trend is not refreshed.
Select Time Range. This is the window of time displayed on the trend. This windows runs backwards from the current time (on the dashboard) back the given time range.
Choose a Datasource, if required (See additional information on Datasources for Dashboard widgets below). Specify the Url, User name and Password for the dataset. Click OK.
To add variables, click on +Add trend.
1. Select Folder.
2. Select a Tag.
3. Select Color from a color palette (optional).
4. Select a Minimum and Maximum Y axis value (optional). If it is not determined the range of the Y axis is defined automatically.
5. Check the box to Display data points on trends (optional).
6. Check the box to Link data points (optional).
7. Check box Fill to fill below the curve (optional).
8. Check box Hidden to hide the curve (optional).
9. Define Label to assign a label to a curve (optional). If not defined the tag name (Folder/Tag Name) is assigned.
10. Repeat to select all required variables (variables may be selected from different folders).
Click OK.

External Lake

Enter a Datasource, if connecting to a remote Lake.

For Refresh Period and Time Range the following units are supported:

Letter	Description
d	Day
h	Hour
min	Minute
s	Second
ms	Milliseconds

Add real-time or static trends including Symbolic Variables

Datasources for Dashboard widgets

Important remark: When two (or more) servers are working with Single Sign On, do NOT enter the Username and Password in Dashboard widgets. For Dashboard widgets, it is the browser that carries the authentification and it is capable of identifying the current DM Analytics user to access the DM Lake. Applying a different user and password in Dashboard widgets changes the current user and can cause errors.

Add ISHM model result

This widget inserts an existing ISHM model from the DmA project and calculates the current performance based on real-time data from DATAmaestro Lake.

Select in Viewer ISHM.
Assign a Title to this widget.
Select Refresh Period. This defines the interval at which the trend will be refreshed and new data will be displayed. Values can vary from 1 second to more than 24 hours. If No interval the trend is not refreshed.
Select Time Range. This is the window of time displayed on the trend. This windows runs backwards from the current time (on the dashboard) back the given time range.
Choose a Datasource, if required (See additional information on Datasources for Dashboard widgets above). Specify the Url, User name and Password for the dataset. Click OK.
Select ISHM path. The path in the lake that contains the ISHM computed variables.
Select Data Path. The path in the lake that contains the tags referenced by the ISHM causes. This defaults to the same value as the ISHM path.
Enter a Tag Prefix. The prefix that will be used to build tag names from ISHM cause values. Defaults to ISHM task name.
In Trend, select the tags e.g. ISHM global distance and Cumulative sum of the ISHM_Distance.
1. Choose a Color from the palette.
2. Display data points on trends.
3. Link data points.
4. Fill below the curve.
Click OK.

Value checker for ISHM Distance

Add to the ISHM curve a Value Checker using the ISHM-distance. Add two thresholds with Type Value to check the ISHM distance.

Pause an ISHM Trend and use the toolbars to zoom in and out to get a better view on the process drift, how long the variable has been out of range, and what was happening before it went out of range.

Zoom out in time only keeping Y axis range.

Add Ranges Checker

This widget inserts a range checker which verifies if a given variable currently lies within a predetermined range.

Select in Viewer Ranges Checker.
Assign a Title to this widget.
Select Refresh Period. This defines the interval at which the new data is displayed. Values can vary from 1 second to more than 24 hours. If No Interval the range checker is not refreshed.
Choose a Datasource, if required (See additional information on Datasources for Dashboard widgets above). Specify the Url, User name and Password for the dataset. Click OK.
To define the variable to monitor:
1. Select Folder.
2. Select a Tag.
3. Enter a Title, if required.
4. Enter a Unit, if required.
5. Click on + Edit Thresholds.
6. Select a Type in Edit Range checker bound:
  1. None: No value is displayed (blank).
  2. Value: Enter a numerical value (>=). Choose a Color from the palette.
  3. Task: Add Tasks refer to DATAmaestro analytics tasks (predictive models and function variables). Once a Task has been selected the input parameters used for the model are automatically detected. However, it is necessary to select the corresponding data in DATAmaestro Lake by indicating for each variable the respective Folder and the Tag Name of the Parameter. Choose a Color from the palette.
  4. Tag: Select a tag from DATAlake. Select a Folder. Select a Tag. Choose a Color from the palette.
  5. Click on Clear Thresholds to remove all thresholds defined. Click on trash icon beside each threshold to delete one at the time.
7. Define a Label to assign a label to the variable. If not determined the tag name (Folder/Tag Name) is assigned.
8. Enter a Unit, if required.
9. Click on Delete a Tag, if required.
Repeat to select all required variables to monitor (variables may be selected from different folders).
Click OK.

Add Value Checker

This widget inserts a value checker which verifies if a given variable currently lies within a predetermined range.

Select in Viewer Value Checker.
Assign a Title to this widget.
Select Refresh Period. This defines the interval at which the new data is displayed. Values can vary from 1 second to more than 24 hours. If No Interval the range checker is not refreshed.
Choose a Datasource, if required (See additional information on Datasources for Dashboard widgets above). Specify the Url, User name and Password for the dataset. Click OK.
Select a Folder.
Select a Tag.
Enter Unit, if required.
Enter Font size, if required. Example: 15pt.
Click on + Add Threshold.
Enter a numerical Value (>=).
Select a Color from the palette.
Select a Background Color from the palette, if required.
Click on Clear All to clear all values.
Click OK.

Add Gauge Checker

This widget inserts a gauge checker which verifies if a given variable currently lies within a predetermined range.

Select in Viewer Gauge Checker.
Assign a Title to this widget.
Select Refresh Period. This defines the interval at which the new data is displayed. Values can vary from 1 second to more than 24 hours. If No Interval the range checker is not refreshed.
Choose a Datasource, if required (See additional information on Datasources for Dashboard widgets above). Specify the Url, User name and Password for the dataset. Click OK.
Select a Folder.
Select a Tag.
Enter Minimum Value.
Enter Maximum Value.
Enter Unit, if required.
Enter Font Size, if required.
Click on + Add Threshold.
Select a Type:
1. None: No value is displayed (blank).
2. Value: Enter a numerical value (>=). Choose a Color from the palette. Select a Background Color from the palette, if required.
3. Task: Add Tasks refer to DATAmaestro analytics tasks (predictive models and function variables). Once a Task has been selected the input parameters used for the model are automatically detected. However, it is necessary to select the corresponding data in DATAmaestro Lake by indicating for each variable the respective Folder and the Tag Name of the Parameter. Choose a Color from the palette. Select a Background Color from the palette, if required.
4. Tag: Select a tag from DATAlake. Select a Folder. Select a Tag. Choose a Color from the palette. Select a Background Color from the palette, if required.
5. Click on Clear Thresholds to remove all thresholds defined. Click on trash icon beside each threshold to delete one at the time.
Select Link Dashboard (Optional), this will help when creating several levels of Dashboards.
1. Select Project and Dashboard to create link.
Click OK.

Last value date

Display the last value date on the gauge and Link Dashboards.

Add Custom Table

This widget inserts a custom table.

Select in Viewer Custom Table.
Assign a Title to this widget.
Enter number of Rows.
Enter number of Columns.
Enter Font size, if required. Example: 15pt.
On the table, click on the selection icon .
Select a Type of a cell:
1. Text: enter a Value. Choose a Color from the palette.
2. Value: Enter a numerical value, a task or a tag .
  1. Select a Value:
    1. Choose a Datasource, if required (See additional information on Datasources for Dashboard widgets above). Specify the Url, User name and Password for the dataset. Click OK.
    2. Choose a Tag.
    3. Click on the checkbox Display Tag Name? , if the Tag Name should be displayed.
    4. Click on the checkbox Display Value Date? , if the last value date should be displayed.
    5. Enter tag Unit, if required. You can also click on Fetch unit from Lake metadata.
    6. Enter tag Label, if required. You can also click on Fetch label from Lake metadata.
    7. Click + Add Threshold.
    8. Select Type:
      1. None: No value is displayed (blank).
      2. Value: Enter a numerical value (>=). Choose a Color from the palette.
      3. Task: Add Tasks refer to DATAmaestro analytics tasks (predictive models and function variables). Once a Task has been selected the input parameters used for the model are automatically detected. However, it is necessary to select the corresponding data in DATAmaestro Lake by indicating for each variable the respective Folder and the Tag Name of the Parameter. Choose a Color from the palette.
      4. Tag: Select a tag from DATAlake. Select a Folder. Select a Tag. Choose a Color from the palette. If the tag is symbolic, select Edit symbols mapping.
      5. Click on Clear Thresholds to remove all thresholds defined. Click on trash icon beside each threshold to delete one at the time.
3. Metadata: Add Metadata corresponding data in DATAmaestro Lake.
  1. Select Refresh Period. This defines the interval at which the new data is displayed. Values can vary from 1 second to more than 24 hours. If No interval the decision tree is not refreshed.
  2. Choose a Datasource, if required (See additional information on Datasources for Dashboard widgets above). Specify the Url, User name and Password for the dataset. Click OK.
  3. Select a Folder.
  4. Choose a Tag.
  5. Click on the checkbox Display Tag Name? , if the Tag Name should be displayed.
  6. Click on the checkbox Display Tag Title? , if the Tag Title should be displayed.
  7. Click on the checkbox Display Tag Unit? , if the Tag Unit should be displayed.
  8. Click + Add Threshold.
  9. Select Type:
    1. None: No value is displayed (blank).
    2. Value: Enter a numerical value (>=). Choose a Color from the palette.
    3. Task: Add Tasks refer to DATAmaestro analytics tasks (predictive models and function variables). Once a Task has been selected the input parameters used for the model are automatically detected. However, it is necessary to select the corresponding data in DATAmaestro Lake by indicating for each variable the respective Folder and the Tag Name of the Parameter. Choose a Color from the palette.
    4. Tag: Select a tag from DATAlake. Select a Folder. Select a Tag. Choose a Color from the palette.
    5. Click on Clear Thresholds to remove all thresholds defined. Click on trash icon beside each threshold to delete one at the time.
Select Link Dashboard (Optional), this will help when creating several levels of Dashboards.
1. Select Project and Dashboard to create link.
Click OK.

Value date & replace Symbol

Display the last value update date on Custom Tables.

Replace Symbols or Tag Names by Titles.

Improvements to editing custom table: Switch order, clone or delete columns and rows.

Add SPC Trends

This widget inserts a Statistical Process Control (SPC) real time trend.

Select in Viewer SPC Trend.
Assign a Title to this widget.
Select Refresh Period. This defines the interval at which the new data is displayed. Values can vary from 1 second to more than 24 hours. If No Interval the range checker is not refreshed.
Choose a Datasource, if required (See additional information on Datasources for Dashboard widgets above). Specify the Url, User name and Password for the dataset. Click OK.
In X axis, choose between an observation based axis or a time based axis. The time based axis (by the default) is the classic trends axis. The observation based axis transform the time to an index of records, each records correspond to an observation.
Select a Time Range.
In SPC Parameters, select the Trend tag.
1. Choose a Color from the palette.
2. Enter mininum Y value in Min Y.
3. Enter maximum Y value in Max Y.
4. Check the box to Display data points on trends.
5. Check the box to Link data points.
6. Check the box to Fill below the curve.
7. Enter a Label.
Enter Upper Limit.
1. Enter the Type. There are two options : Tag or Value.
2. Choose a Color from the palette.
3. Select Style, dashed line or solid line.
Enter Upper Limit.
1. Enter the Type. There are two options : Tag or Value.
2. Choose a Color from the palette.
3. Select Style, dashed line or solid line.
Enter Central Line.
1. Choose a Color from the palette.
2. Select Style, dashed line or solid line.
In Moving Range, check + Add Moving Range Chart. The Moving Range is a trend calculated on the SPC Trend with the formula : mrY = |yi - y(i-1)| with mrY the Moving Range point and yi the SPC Trend point. The Moving Range will have the same violations rules as the SPC Trend.
Add SPC additional rules.
1. Click + Add a Rule.
2. Select a Rule. Check the table below to understand the options available.
Click OK.

The SPC Violation rules, a point is highlighted when:

Rule	Description
Outside a Limit	The point is outside a control limit (UCL or LCL)
Above the Mean	x points in a row are above the central line
Below the Mean	x points in a row are below the central line
An Upwards Trend	x points in a row are following an upwards trend
A Downwards Trend	x points in a row are following a downwards trend
Alternating Up and Down	x points in a row are alternating up and down
Zone A or Beyond	x out of y points in a row are in zone A or beyond
Zone B or Beyond	x out of y points in a row are in zone B or beyond
In Zone C	x points in a row are in zone C only
Not in Zone C	x points in a row are in not in zone C

To calculate the Zone, the UCL and LCL are considered 3 sigma from the central line.

Rule	Description
Zone A	from a control limit to 2 sigma: [2σ - UCL] & [LCL - -2σ]
Zone B	from 2 sigma to 1 sigma: [1σ - 2σ] & [-2σ - -1σ]
Zone C	from 1 sigma to the central line: [0σ - 1σ] & [-1σ - 0σ]

Add Histogram

Real-time Histogram shows live data from the Lake for the previous period (e.g. last 24 hours).

Select in Viewer Histogram.
Assign a Title to this widget.
Select Refresh Period. This defines the interval at which the new data is displayed. Values can vary from 1 second to more than 24 hours. If No Interval the range checker is not refreshed.
Select a Time Range.
Select a Tag.
Choose a Datasource, if required (See additional information on Datasources for Dashboard widgets above). Specify the Url, User name and Password for the dataset. Click OK.
Click OK.

Add Load Curve

The custom Load Curve widget draws a polynomial curve, shows the last data point and colours the last data point as a function of the position with respect to the polynomial curve. This is a particularly interesting curve for Energy performance monitoring.

Select in Viewer Load Curve.
Assign a Title to this widget.
Select the xTag from Lake.
Select the yTag from Lake.
Enter the maximum and minimum values of X (X Min and X Max) and Y (Y Min and Y Max).
Enter the labels of X (X Label) and Y (Y Label).
Select the Refresh Period. This defines the interval at which the new data is displayed. Values can vary from 1 second to more than 24 hours. If No Interval the range checker is not refreshed.
Check the box Draw Threshold Limits, if the limits should be displayed at the curve.
Select the Objective, the options are: Minimize, Maximize or Target.
Enter the Coefficients. These are the coefficients for a polynomial equation in ascending order (x0, x1, x2, x3, x4, …). To add or remove a coefficient use the the buttons + or -.
Click OK.

The load curve widget has a graphical editor

The Load Curve compares the last data point with an analytical equation. In the example beow the Specific Energy Consumption is compared to its theoretical load curve according to the Production Rate.

Add Moving CUSUM

The custom Cusum widget calculates the cumulative sum of any tag starting from zero.

Select in Viewer Moving Cusum.
Assign a Title to this widget.
Select the Tag from Lake.
Enter the Y Min and Y Max.
Enter the X and Y Labels.
Enter the Duration, time window of the cumulative sum.
Select the Refresh Period. This defines the interval at which the new data is displayed. Values can vary from 1 second to more than 24 hours. If No Interval the range checker is not refreshed.
Enter the Factor, the multiplication factor of the tag.
1. This can be helpful to account for units as the widget calculates the integral on a second basis.
2. Eg. If the tag units are T per hour: Tag T / h * 1h / 3600s to calculate the correct T value (1/3600 = 0.00027777778)
Click OK.

The Moving CUSUM has a graphical editor.

The factor is useful to convert units.For example here, from MWs to MWh: 1/3600 = 0,277…

The Moving Cusum widget integrates the variable for a time period.

In the example below, the Power (MW) is used to get the Energy (MWh).

Add Process Diagram

Prepare meaningful Dashboards by uploading a process flow diagram or P&ID.

Select in Viewer Process Diagram.
Enter a Title.
Select background image. Note: Images are shared by analytics projet. Adding one image will make it availlable for all dashboards of current project. Replacing or deleting one image will affect current project. More precisely, it will affect all dashboards of current project that relies on that specific image.
Click on Upload new image. Select file and click on Upload. You will see all the list of images uploaded that you can download or remove. Select the file from list and click OK.
In Default widget setting:
1. Select a file as a Background image.
2. Enter Significant digits, the default value is 6.
3. Enter Refresh Period, e.g. 1d or 15min or 30s.
4. Enter Trends Time Range, e.g. 1d or 15min or 30s.
5. Enter Font size, if required.
6. Select a Color text from the color palette.
7. Select a Background color for the text from the color palette.
8. Enter a Background opacity. Opacity must be a number between 0 and 1. 0 means fully transparent and 1 means fully opaque.
9. Enter the Link button size.
10. + Add Datasource, if required.
Add live tags, text or links to other Dashboards to customize your view.
1. Click on + Tag to add a tag. In Tag settings:
  1. Select a Tag from Lake.
  2. Check Display value date, if required. Please specify a Datasource to use with this Widget: Url, Username and Password. Then click OK. To remove the datasource click on the trash icon.
  3. In Label, you can choose not to display a label, in this case, select None. If you would like to display a Label, you can select Tag Name or Custom, in this case, enter de Label text.
  4. Check Display unit, if required.
  5. Check Display line to draw a line on the image.
  6. Enter Significant digits, the default value is 6.
  7. Enter Refresh period, e.g. 1d or 15min or 30s.
  8. Enter Trend Time Range, e.g. 1d or 15min or 30s.
  9. Enter Font size, if required.
  10. Select a Text color from the color palette.
  11. Select a Background color from the color palette.
  12. Enter a Background opacity. Opacity must be a number between 0 and 1. 0 means fully transparent and 1 means fully opaque.
  13. Click on the trash icon to remove the tag.
2. Click on + Text to add a text. In Text settings:
  1. Enter the Text.
  2. Enter a Font size.
  3. Select a Text color from the color palette.
  4. Select a Background color from the color palette.
  5. Enter a Background opacity. Opacity must be a number between 0 and 1. 0 means fully transparent and 1 means fully opaque.
  6. Click on the trash icon to remove the text.
3. Click on + Link to add a dashbord link. In Link button settings:
  1. Select a Project Id, then click OK.
  2. Select a Dashboard Id from the list.
  3. Enter a Size.
  4. Select a Color of the link button from the color palette.
  5. Click on the trash icon to remove the link.
4. Click on + Link Area to add a link area. In Link area settings:
  1. Select a Project Id.
  2. Select the Dashboard Id from the list.
  3. Click on the trash icon to remove the link area.
Click OK.

Read-only users can load images on Process Diagrams

Combined widgets (Static & Real-time):

Decision tree

This widget combines existing Decision Tree model from DM Analytics with real-time data.

Select in Viewer Combined widgets (Static & Real-time) / Decision tree.
Assign a Title to this widget.
Select Task. The list contains all decision trees created in the DmA project. Once a Task has been selected the input parameters used for the model are automatically detected. However, it is necessary to select the corresponding data in DATAmaestro Lake by indicating for each variable the Folder and the Tag Name of the Parameter.
Select Refresh Period. This defines the interval at which the new data is displayed. Values can vary from 1 second to more than 24 hours. If No interval the decision tree is not refreshed.
Choose a Datasource, if required (See additional information on Datasources for Dashboard widgets above). Specify the Url, User name and Password for the dataset. Click OK.
Click OK.

To facilitate reading: Highlighted path and text-shadow when path is highlighted.

ISHM Histogram

An ISHM Histogram is a combined Histogram where the variable shown changes dynamically depending on the ISHM Cause Variable.

Select in Viewer Combined widgets (Static & Real-time) / ISHM Histogram.
Assign a Title to this widget.
Select Refresh Period. This defines the interval at which the new data is displayed. Values can vary from 1 second to more than 24 hours. If No interval the ISHM histogram is not refreshed.
Choose a Datasource, if required (See additional information on Datasources for Dashboard widgets above). Specify the Url, User name and Password for the dataset. Click OK.
Select the Data Path, it is the path in the lake that contains the tags referenced by the ISHM causes. These tags are computed by the ISHM.
Enter a Tag Prefix, the prefix that will be used to build tag names from ISHM cause values. Defaults to ISHM task name.
Select the Cause Tag.
Check the box Display Value Date? , to display tha value date.
Create an histogram based on the cause value. The data used for drawing the bars of histogram are from the datasource in analytics, not from Lake. It shows how is placed the live data in the Lake compared to the distribution of the historical data from Analytics.
1. On the fly: it will show the histogram for data present in analytics but the user doesn’t need to manualy create (in Analytics) one histogram task per cause.
2. By task: it will use the predefined task map to show the linked histogram. The displayed histograms are the ones created by the user in Analytics. First the user have to create one histogram per cause. Then the user can choose which histogram will be displayed for each cause.
If you have selected On the fly, there are two optional settings:
1. Select the Record set, it is the record set used to filter the records to compute the histogram.
2. Select the Condition variable, the condition variable used in an histogram.
If you have selected By task:
1. Click on + Add entry:
  1. Enter the cause symbol to link to a histogram task.
  2. Select the Histogram task from an Analytics projects to display historical data for a given variable.
Click OK.

Histogram

Combined Histogram shows the historical data from a chart in Analytics and the live value in the Lake.

Select in Viewer Combined widgets (Static & Real-time) / Histogram.
Assign a Title to this widget.
Select Refresh Period. This defines the interval at which the new data is displayed. Values can vary from 1 second to more than 24 hours. If No interval the decision tree is not refreshed.
Choose a Datasource, if required (See additional information on Datasources for Dashboard widgets above). Specify the Url, User name and Password for the dataset. Click OK.
Select the Tag from the Lake to monitor in real-time. The tag selected should match the variable displayed on the histogram.
Check the box Display Value Date ? , if you want to display the date value.
Create a histogram based on historical data in an Analytics project combined with view real-time values from the Lake compare past versus present values. There are two options for creating the histogram on historical data:
1. On the fly: Create the histogram without it existing in the Analytics project. When calculating the histogram on the fly, there are two optional settings:
  1. Choose to filter using a Record Set
  2. Choose to add a condition variable
2. By task: Use a predefined Histogram task in the Analytics project.
  Note: The variable displayed on the histogram should match the tag monitored in real-time.
If you have selected On the fly:
1. Select the Variable in the project used to compute the histogram.
2. Select the Record set, it is the record set used to filter the records to compute the histogram.
3. Select the Condition variable, the condition variable used in an histogram (Optional).
If you have selected By task:
1. Select the Histogram task from an Analytics projects to display historical data for a given variable. The variable displayed on the histogram should match the tag monitored in real-time.
Click OK.

Scatter plot

Combined Scatter plot shows the historical data from a chart in Analytics and the live value in the Lake.

Select in Viewer Combined widgets (Static & Real-time) / Histogram.
Assign a Title to this widget.
Select Refresh Period. This defines the interval at which the new data is displayed. Values can vary from 1 second to more than 24 hours. If No interval the decision tree is not refreshed.
Choose a Datasource, if required (See additional information on Datasources for Dashboard widgets above). Specify the Url, User name and Password for the dataset. Click OK.
Select the X Tag from the Lake to monitor in real-time. The tag selected should match the variable displayed on the scatter plot.
Select the Y Tag from the Lake to monitor in real-time. The tag selected should match the variable displayed on the scatter plot.
Check the box Display Value , if you want to display the value.
Check the box Display values on point , to display the value of the point (and the date) on the point. Otherwise, the values are displayed on the top of the scatter plot.
Check the box Display Value Date ? , if you want to display the date value.
Check the box Hide cross ? , a cross is displayed on the scatter plot to show the current value of the tag. Check this option to hide the cross.
Select Point color from the color palette. The color of the real time point on the scatter plot.
Enter value of Point size, the size of the real time point on the scatter plot.
Select the Display Point by , there are two options: circle or cross, that is the shape of the real time point on the scatter plot.
Check the box Fill, to fill the real time point on the scatter plot with the color of the point.
Create a scatter plot based on historical data in an Analytics project combined with view real-time values from the Lake compare past versus present values. There are two options for creating the scetter plot on historical data:
1. On the fly: Create the scatter plot without it existing in the Analytics project. When calculating the scatter plot on the fly, there are two optional settings:
  1. Choose to filter using a Record Set
  2. Choose to add a condition variable
2. By task: Use a predefined Scatter plot task in the Analytics project.
  Note: The variable displayed on the scatter plot should match the tag monitored in real-time.
If you have selected On the fly:
1. Select the Variable in the project used to compute the scatter plot.
2. Select the Record set, it is the record set used to filter the records to compute the scatter plot.
3. Select the Condition variable, the condition variable used in an scatter plot (Optional).
If you have selected By task:
1. Select the Scatter plot task from an Analytics projects to display historical data for a given variable. The variable displayed on the scatter plot should match the tag monitored in real-time.
Select a Condition variable, if required, the condition variable used in an scatter plot.
Click OK.

Edit Widgets

Click on arrow on top right of the widget.

Click on Edit.
Make changes.
Click on OK button to save it.
Delete an existing Widget
Click on arrow on top right of the widget.
Click on Delete (Trash Icon).

To Edit a dashboard:

Enter on DATAmaestro Analytics project.
On the vertical menu bar, click on the first icon and then click on View.
If there is only one dashboard, click on Edit.
If there are several ones, select the dashboard to be edited using View then, click on Edit. Otherwise, on the vertical menu bar click on Edit icon.

If you don't want to Save the changes in dashboard

If you don't want to save the changes you've made in the dashboard just click on stop icon .

To Delete a dashboard:

Enter on DATAmaestro Analytics project. On the vertical menu bar, click on the first icon and then click on View.
If there is only one dashboard, click on Edit.
If there are several ones, select the dashboard to be edited using View then, click on Edit. Click on the trash icon to delete the dashboard. Otherwise, on the vertical menu bar click on Delete icon.

To expand widgets on dashboards:

Improved range of histogram widgets available.

To change date to view dashboard in the past:

Enter on DATAmaestro Analytics project. On the vertical menu bar, click on the first icon and then click on View.
Use the calendar or magic wand to select a date (in the past) or manually edit the date you wish to see.

Home

In full-screen mode, use the “Home” button to change between dashboards

Link Dashboard

Create several levels of Dashboards and drill-down using linked DATAmaestro Dashboards.

Select Link Dashboard on Gauges or Custom Tables.
Select Project & Dashboard to create link.

Clone Widgets to another Dashboard

Clone a Dashboard to another Project

Play and Pause

You can now play and pause real time dashboards.

Easier widget name edit

Directly edit and change widget names from the main view