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Forecasting with OpenForecast Forecasting is a science in itself. Generally speaking, forecasting is concerned with the process used to predict the unknown. Instead of looking at a crystal ball, forecasting practitioners use mathematical models to analyze data, discover trends, and make educated conclusions. In our example, the Sales by Product Category report will predict the future sales data by using the data extrapolating method. There are number of well-known mathematical models for extrapolating a set of data, such as polynomial regression and simple exponential smoothing. Implementing one of those models, though, is not a simple task. Instead, for the purposes of our sales forecasting example, we will use the excellent Open Source OpenForecast package, written by Steven Gould. OpenForecast is a general-purpose package that includes Java-based forecasting models that can be applied to any data series. The package require no knowledge of forecasting, which is great for those of us who have decided to focus on solving pure business problems and kissed mathematics goodbye a long time ago. OpenForecast supports several mathematical forecasting models, including singlevariable linear regression, multi-variable linear regression, and so on. The current OpenForecast version as of the time of this writing is 0.3, but version 0.4 is under development and probably will be released by the time you read this book. Please see section 6.5 for a link to the OpenForecast web site. Let s now see how we can implement our forecasting example and integrate with OpenForecast by writing some embedded and external code. Implementing report forecasting features Creating a crosstab report with forecasting capabilities requires several implementation steps. Let s start with a high-level view of our envisioned approach and then drill down into the implementation details. Choosing an implementation approach Figure 6.5 shows the logical architecture view of our solution. asp.net code 128 reader C# Code 128 Reader SDK to read, scan Code 128 in C#.NET class ...
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