Monday, June 11, 2012

The BI Tools Of Advanced And Predictive Analysis And Investigate

By Angela Windsor


Advanced and Predictive Analysis is a BI tools that gives the power to business users and information analysts to investigate any data within their data warehouse - this helps in retrieving details regarding to any specific outcome.

Features

Self Service reporting and Analysis: This BI tools gives users the opportunity to customize their reports by selecting what data needs to be displayed and they can also set the qualifications needed for the BI report filtering process. Most companies offer you processes that are completely guided thus helping you create perfect BI reports.

Parameter based Reporting: Users can edit the format of the BI report and change its appearance into the form they desire. This particular BI software provides you with a wide range of formats of which you can choose the one that fits the purpose. Even beginners can make their BI reports look professional and systematic through the usage of different variants and metrics included within this BI software.

Easy to Comprehend: What's good about this Business intelligence software is the feature of 'drill anywhere'. This term refers to the process of helping users to access various details without getting into the nitty gritty of understanding databases. This is a kind of a BI workflow guide that aides users to view the complete data in detail without requiring any understanding of the structure and languages.

Data segmentation and analysis: The success of any Business intelligence software is dependent on the segmentation of data and therefore there are specialized BI applications to help perform the task of data segmentation with ease. With this type of BI tools, the users can change and also combine bunches of data to obtain a new set of data for detailed analysis. Sets can be formed with the segmented data and these sets are sent for further analysis.

Defining data groupings: All the BI data warehouses are designed to meet the requirements of a particular business intelligence enterprise. But it's not necessary that the business structure will always depict the requirements of all the departments and teams present within the enterprise. With the right tools users can gather data and convert it into a single customized report. This type of BI feature helps to meet the needs of the department or particular teams without affecting the data warehouse.

Data analysis: All the BI data collected from the data warehouse has to be analyzed thoroughly and this is called Analytical treatment of data. The processes involved are mathematical functions like getting statistical data, totals, etc. A single BI platform should be formed to meet the analytical requirements of the entire BI enterprise.

Customized functionality plug-ins: Most of the enterprises have created their very own algorithms that help them in calculating the statistical data. Using custom function of these BI tools, users can enter the details to be used in the formation of a BI report.

Multi Pass SQL Analysis: This is a BI process which combines analytical functions and database processing. This particular BI feature of advanced and predictive analysis helps answer complex questions which are otherwise not an easy task. Hence, the combination of both results in offering a powerful BI feature to the users.




About the Author:



No comments:

Post a Comment