effimining suite - Module demand

effimining demand is a product developed to aid in the preparation of demand forecast. All businesses require a look into the future in order approximate upcoming events, assign the proper resources and make the best decisions. The decision makers sometimes fail to realize that databases may be analyzed using advanced mathematics and mining techniques in order to predict outcomes. The more extensive the data basses, the more precise the prediction will be.

effimining results are particularly accurate when predicting demand, sales to a large number of customers. It is nevertheless capable of any prediction that may be described mathematically through a period of time and has certain other characteristics.

What is a time series?

“In statistics, signal processing and econometrics are a temporary series in a sequence of data points usually measured in successive time intervals uniformly (most cases) spaces. The temporal series analysis involves methods that help interpret this data type, extracting representative information referring to the origins or underlying relations with the possibility of exploiting and predicting its future behavior.

The most habitual uses for the temporary data series are prediction and forecasting. Common examples include: climatic data, stocks and pluviometric series. Other examples include daily measurements of a product’s sales over several months thus including a time variable. All you need to display the data is an Excel sheet with three columns, (date, product and amount sold).

effimining suite - Module demand

September 25, 2008

How does it work?

effimining demand uses multiple algorithms based on the mathematical theory of time series. The system requires “historical information” meaning several moths of useful data. It can read this information from an Excel sheet, Oracle, MS SQL-Server or MySQL databases. Once loaded, effimining demand is ready to provide an array of predictions. The user may set certain parameters for the data processing such as choosing a daily, weekly or monthly view.

a).effimining demand will:
b)Better your decision making process by utilizing precise methods (advanced mathematics and data mining) in its predictions.
c)Reduce the time needed to analyze data and construct mathematical models necessary for prediction.
d)Reduce dependence on expertise, which is sometimes scarce.
e)Increase productivity by giving users a strong tool, which allows them to process more data with precise results.
f)Allows the company to start a virtuoso circle that stores data, which will be used in later predictions through data mining and take concrete actions that will benefit your business.

Next >

< Previous