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Out of box there are few standard reports that directly tie together operational data between NocTel services. This is done since not all customer organizations may use all the services.

NocTel services such as Talk and Flow never perform hard deletes on data. That is, entirely removing the record and making it non-existent. Deletes in services are logical - also known as "soft" - deletes in which the deleted entity is marked as deleted but not truly deleted from the database. 

From an end user standpoint, there is no distinguishing the hard delete from the soft delete and new entities can be created that have the same label, name, description, etc. can be created at a later time. Understand that while there may be duplicate entries with different column values that populate, they are actually not the same unique row as there is always a unique identifier. In most cases NocTel Insight reports never expose the internal unique identifier as end users never see or use it.

To prevent the same entity from being listed multiple times in a data set, we recommend explicitly only filtering enabled/active or deleted - you should avoid filtering on both statuses.

The Zoom Level is changed by hovering over (almost) any Date or Timestamp column. When hovering over such columns, a + and - icon overlay will be displayed with the column's name. Selecting - (minus) will zoom the granularity of the data aggregation out (e.g.: If viewing by Day, zooming out once would go to by Week). Selecting + will zoom the granularity of the data aggregation in (e.g.: If viewing by Day, zooming in once would go to by Hour).

The supported Zoom Levels are:

• Year
• Quarter^
• Month
• Week
• Day
• Hour*
• Minute*
• Second*

^Quarter follows a standard year. NocTel Insight does not currently allow for custom quarters to be defined.

*These zoom levels are only available to time stamp fields. Date stamp fields do not contain an hour, minute, or second time part and therefore cannot zoom to these levels.

When you make selections to filter data through drop downs and parameters, you modify the overall set of data NocTel Insight can consider to render your report. When you do this you are typically reducing the amount of data NocTel Insight analyzes. Depending on parameter values and filter selections made, the remaining data set to consider may not include certain values at all. When this happens, such values are often excluded from filter drop downs as options.

This is done to help reduce clutter in filter option lists that can have many possible values. This does not mean the data is gone - modifying or removing filters may expose certain options again if there is any corresponding data present that contains that particular value.

Consider the following data set:

If we filtered on Color and wanted only Blue, then attempting to filter again afterward on Thing would show us the options Dog and Bird. This is because of the data leftover from the first filtering, those are the valid values that remain where filtering would result in a change in the resulting data on the second filtering.

On the other hand, if we first filtered on Thing saying only to include Bird; then filtering again afterward on Color would only give us the option of Blue because that's the only row where the Thing was Bird. The non-Bird rows where we had two possible Color values are not considered anymore and NocTel Insight does not bother showing you filtering options whose selection will not cause the data to be further filtered into a smaller set. 

In most cases this occurs because you did not scroll down and select the Apply button in the filter. This is intentional as filterable fields can potentially have many options. Without the end user explicitly flagging NocTel Insight of when they've completed making or modifying their selections on the field filter, NocTel Insight would immediately reprocess the data set whenever an option is selected or de-selected. This results in a cumbersome experience.

If the data does not update when using Parameters this may be the result of the new value(s) encompassing the same data set as the previous values. For example, if your possible data ranges from 2000-01-01 to 2010-01-01, setting an End Date of 2010-01-01 then changing it to 2011-01-01 would result in the same data being returned as there is no data beyond 2010-01-01.

The Forecast plot requires sufficient historical data in order to create a plot with the minimum acceptable confidence interval. This is typically in the realm of 3 weeks' worth of data, but it can vary depending on your Zoom Level setting.

When more historical is provided relative to the Zoom Level (e.g.: by Day, by Month) the resulting forecast becomes more nuanced as there is more data to consider to build trends, discount outlier values, and factor in seasonality.

In some reports the title displayed in the upper left corner will dynamically update relative to parameter selections you may have made, which dictate the dimensionality (and possibly aggregation method) of the rendered report. This is done to help inform you of what calculations you are looking at and in respect to without needing to review what filter and/or parameter selections.

This only affects the title displayed within the report, it does not affect the published name of the report itself.