Loginom Academic 5.1 Build 0.83 Description:

Loginom Studio Academic is an application created for helping in analyzing end decisions. Technologies realized in Loginom allow examination of all stages of the analytical system creation on the basis of one architecture: from the creation of a data warehouse, to automatic selection of models and visualization of the received results.

Loginom Studio Academic provides the toolkits necessary to solve various analytical problems: corporate reporting, forecasting, segmentation, search of laws, i.e. we enumerate the problems where such methods of the analysis as OLAP, Knowledge Discovery in Databases and Data Mining are used. Loginom Studio Academic is an ideal platform for creating the expert decision-making support system.

Loginom consists of 3 parts – the many-dimensional data warehouse, Loginom Warehouse, the analytical application, Loginom Studio, and the end-user workplace, Loginom Viewer. Loginom Warehouse is a many-dimensional warehouse of data, accumulating the information necessary to analyze knowledge domain.

Use of one warehouse guarantees data consistency, centralized storage, and provides all necessary support for automatic processing of data analysis. Loginom Warehouse is optimized to accomplish analytical tasks, and it favorably affects the speed of data access. Loginom Studio is a program for realizing data import, processing, visualization and export functions.

Loginom Studio can function without data warehouse by obtaining information from other sources, but their joint use is most optimal. In Loginom Studio, many mechanisms are included. They allow the user to receive information from any data source, to carry out the cycle of processing (cleansing, data transformation, modeling), to display received results in the most suitable way (OLAP, diagram, trees …) and to export results.

Loginom Viewer is a workplace of the end user. It allows the user to separate the process of scenario creation from the use of available models. All the complex operations of preparing processing scenarios are carried out by analysts-experts with the help of Loginom Studio, and Loginom Viewer gives the user a chance to easily work with finished results, to hide the complexity of model creation and to avoid making high demands of the employees' qualification.

The architecture realized in Loginom allows the user to achieve maximal flexibility when creating the finished decision. Owing to this architecture, it is possible to collect all the necessary tools of analysis into one analytical application, and to realize automatic execution of the prepared scenario.

The technological platform includes the means of allowing a reduction indevelopment time as much as possible, to quickly create and to buy new application decisions and to quickly adapt them according to changing requirements of enterprises. Resources of the platform provide not only high speed for initial development of a product, but also its fast adaptation in the future.

Creation of the finished decision does not take much time. It is enough to obtain data, to define the processing scenario and to set a place to export the received results. Presence of a great number of processing mechanisms and visualization methods allows the user to move step by step from the simplest methods of analysis to more powerful methods. Thus, the user receives the first results practically immediately but at the same time is peritted to increase the capacity of the decision easily

Loginom Academic 5.1 Build 0.83 Features:

· The corporate report systems. The prepared data warehouse and soft mechanisms of preprocessing, cleansing, loading and visualization allow creation of a complete report system in a short amount of time.
· Processing of unregulated queries. The end user can receive the answer to such questions as "How many times were the goods sold by groups to the Moscow region in the last year, in terms of months?" and look at results in the most suitable way.
· Analysis of tendencies and laws, planning and ranking. Simplicity of use and the intuitively clear data model allow the user to carry out the analysis on the What-if principle, to correlate your hypotheses with the information held in the database, to find abnormal values, and to estimate results.
· Forecasting. Having created a model using historical examples, you can apply it to forecast a situation in the future. As the situation is changed, there is no need to rebuild everything, it is necessary to to finish training the model.
· Risk management. The algorithms realized in the system allow the user to find out exactly what characteristics of objects have an influence on the risks, and how it happens, thanks to the possibility of predicting the appearance of risk events, and taking the necessary steps beforehand to decrease the number of possible adverse effects.
· Marketing data and Gallup poll analysis. By analyzing data about consumers, it is possible to define what category your clients belong to and why, and how their predilections change depending on their age, education, social status, financial position and many other parameters. This understanding will promote the correct arrangement of your products and sale promotion.
· Diagnostics. Analysis mechanisms available in the Loginom system are successfully applied in medical diagnostics and diagnostics of the complex equipment. For example, it is possible to create a model on the basis of data about breakdowns. With the help of this model, you can localize problems and discover the reasons for transient errors.
· Detection of objects based on fuzzy measures. We will often be faced with a situation where it is necessary to find an object, based not on measures such as cost or characteristics of a product, but rather on fuzzy statements, such as finding the products which are similar to yours from the point of view of the consumer.

Loginom Academic 5.1 Build 0.83 Requirements:

· CPU Pentium II 450 MHz
· RAM 2 Gb
· Hard drive 1 Gb
· Display 17"
· Video Card XVGA
· USB 1.0
· Keyboard, mouse
· MS Internet Explorer 6.0,
· Microsoft Office

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Loginom Academic security information

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