Support for a dynamic symbol to display SQC data.

Be able to create "on the fly" calculations similar to PI ProcessBook datasets.

Have the ability to support multiple time ranges for trends on a display.  For example a trend might be configured as showing the last 8 hours, another one as the last 7 days, and another one the last month.

PI Vision does not support the renaming of AF elements or attributes or the movement of them within the hierarchy. After renaming or moving these objects, symbols referencing them will show No Data in PI Vision.

The current (2017) version of the PI Vision Display Utility requires both environments (source & target) to be connected. There is a need to be able to export and import those displays between systems that are not connected.
If not exported to a file, it could, for example, use PI Web API to use the REST endpoint to export the display configuration and vice-versa.

Wish there was a snap-to-grid option

Be able to manually enter data into an AF element attribute or a PI tag from a PI Vision display.

Be able to compare attributes from multiple similar events against each other in the events table symbol.

User Story: As a process engineer, Lalit wants to compare attributes from similar events to one another in a table and sort by the columns of the table SO THAT he can use the attribute values to compare the events to one another.

PI Manual Logger is a product in need of a major upgrade.  The web interface is a step in the right direction.  Integration into Vision would be a big plus and give very good convergence between the two technologies.

Be able to print a display to be used as a 'report'. Include printing / saving as a .pdf. Consider an option to print the colors so it looks good on white paper.

Can we have the option to specify font size for all symbols? There is currently no way to set font size in tables, bar chart/gauge, scale values in trends, etc.

Administrators would like to have a way to know how often a display is used on a display management page.

As a display creator, I want to give other users edit permission on the display so we can collaborate in creating the display and so that other users from my team can make needed changes when I'm not available.

Be able to view the tag/attribute descriptions on the bottom of the trend the same way that you are able to in ProcessBook. For those of us with large DB, it is very important to have this functionality.

I have summarized energy data for kWh consumption by day for buildings and plant that is written at specific end of shift day week points.

I'd like to be able to have this display as a stacked bar where the various plant consumption components are shown as a proportion of the bar and the height of the bar is the sum of the components.

Classic stacked bar chart.

Wrap long string values (word wrap) in a table so the entire text can appear on the display.

Currently ProcessBook and coresight trend only provide one Y axis.
We would to have 2 Y axis to plot different parameter for an asset. Example: Flow parameters can be plotted on Y axis on the left and temperature can be plotted on Y axis on the right"

Each trend in trend group must have one horizontal (X axis) and two vertical axis (Left Y and right Y). Users should be able to assign a tag plot to either of the Y axis in trend

As a user of PI Vision mobile (iPhone), I need to be able to use existing element-relative displays on the mobile website and switch between assets so that I can dynamically see relevant data for multiple pieces of equipment

As a process engineer, while dragging a trend cursor I'd like to see the process values. Currently, I can only see the value once I drop the cursor, I need to see the values WHILE dragging the cursor so that I can quickly identify problems in my process.

This feature was available in previous versions (PI Coresight) and in ProcessBook.

PI Vision administrators should be able to see who is actively connected to PI Vision, similar to the way Network Manager Statistics in SMT shows all active connections to the PI Data Archive.