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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. |
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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. |
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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. |
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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. |
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NocTel Insight reporting data is not intended for billing purposes and does not reflect any applied charges or their effective rates that can vary by organization. This disclaimer is often stated in reports where operational data and analysis could be misconstrued for billing data. Account and service billing data greatly differs from NocTel Insight's analysis of operational data in several important ways:
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