Analytics

Logi Reports are a specific type of custom reports designed to fulfill an agency's requirements. If your agency has a Logi Report listed, the admin has the ability to select a report from the list and modify certain variables, such as the Outp...

  The ACE Inventory Designer includes a user friendly interface where you can design simple account based reports. These reports can then be shared with users selectively based on the Permission Roles assigned to the reports. The users with a...

This document provides some insight into the methods used inside Forecasting elements. Topics include: About Forecasting Regression Prorating Time Series Decomposition

Forecasting elements use a variety of techniques to produce projected values by analyzing existing values. The future values they "predict" are, in most cases, added as rows or columns to a datalayer so the data can be displayed along with the exist...

The Formatted Column element is used with datalayer elements to add a new column, containing formatted data, to the datalayer. This is an alternative to formatting the data in other elements, such as a Label, and provides a significant performance...

Classic Chart  axis labels can be formatted using several special-purpose elements and, in addition to these, the actual label text of non-animated charts can be formatted using a language called  CDML . This document discusses CDML and i...

Many elements have a  Format attribute that lets developers specify how its data will be formatted. The most common of these, for example, is the  Label element. Applying a formatting to a Label caption is especially useful for dates, ti...

The decomposition of time series data is a statistical method that deconstructs it into notional components. Several decomposition methods exist and this one, Forecast.Time Period Decomposition element uses "Decomposition Based on Rates of Change...

The  Forecast.Current Time Period element produces its forecast by analyzing a value from the last row in the dataset and "prorating" it into the future, through completion of a specific time period. Input Data Requirements Data should confo...

Linear prediction is a mathematical operation in which the future values of a dependent variable are estimated as a function of previous samples. The Forecast.Regression element implements: Simple linear regression , where values are based ...

Forecasting is the process of making statements about events whose actual outcomes (typically) have not yet been observed. A commonplace example might be estimation for some variable of interest at some specified future date.  Prediction is a ...

The Forecast.Time Series Decomp element uses a technique that's optimized for analyzing data across daily, weekly, or other time periods. The data to be analyzed should be grouped and detail rows discarded, so there is one data row for each time pe...

The Forecast.Regression element uses one of several regression analysis functions. Regression analysis is recommended when the focus is on a relationship between a dependent value and one or more independent values. It's useful, for example, when v...

The Forecast.Current Time Period element produces its forecast by analyzing a value from the last row in the datalayer and "prorating" it into the future, through completion of a specific time period. Its calculations do not take working hours pe...

Data forecasting is the process of generating values based on events that have not yet occurred. "Prediction" is a similar but more general term. Forecasting refers to formal, statistical methods that use time series, cross-sectional, or longitudin...

Let's look at some examples of common Formatted Column use-cases. For each of the examples, imagine that the SQL query shown above has been used to retrieve data for a data table. The data retrieved into the datalayer looks l...

The Formatted Column element is similar to other elements designed to extend the data available in a datalayer. Like the  Calculated Column element, the Formatted Column is added as a child element beneath a datalayer and adds a new columnt...