This article describes key technologies and methodologies used by Report Portal.
OLAP (On-Line Analytical Processing) is a technology that provides solution to three fundamental reporting problems:
Slowly running reports. For example, calculating total sales for all products might take very long time. Moreover, each report might keep calculating the same value all over again. To resolve this problem, OLAP can store all possible totals in summary (aggregation) tables. The aggregations are usually re-calculated daily or hourly.
Report Explosion. The number of possible static reports that can be created from a database may be too large. For example, we have a sales table with three columns: product, date and dollars. Suppose that we sell just 10 products and we have just 10 days worth of data. We can have 29 possible reports:
If we are to add an additional column: "customer name" to our table, the number of possible reports would increase exponentially. Because an average organization can have much more than three columns associated with its sales, the number of possible reports can approach or exceed trillions!
OLAP technology allows users to design and modify reports themselves via a simple drag and drop interface, eliminating the need of having an "army" of report writers on staff.
Data Warehousing is a common approach to creating a reporting database that provides the following advantages:
All organizational data in stored in one place. The data is sourced from different operational systems such as accounting, human resources and payroll. When operational records are imported into the data warehouse, the system makes sure that all information can be linked to the rest of the data.
Sometimes it is important to have a historical snapshot of the data in history. The operational database is updated constantly to reflect the latest changes and may not store the old data. The data warehouse will store all the old and new data.
Running reports off an operational database can cause problems for operational system users.
An OLAP database can retrieve the data from an operational database or a data warehouse.
Data Mining is the automated extraction of hidden predictive information from database. Data Mining does two things:
Report Portal lets users browse a Microsoft decision-tree data-mining models to identify hidden patterns.
XML for Analysis (XMLA) is a SOAP-based API. XMLA provides the most efficient way to access an OLAP database over the Internet. Hyperion, Microsoft and SAS first proposed the standard April of 2001. The standard’s organization is XMLA.org council. XMLA Consulting is a permanent XMLA.org council member.
Currently, Microsoft Analysis Services has the leading market share in the OLAP market. Report Portal is based on AJAX, the same technology used by Google Maps and Gmail. The AJAX approach provides zero-footprint platform with mimimum of page reloads. Essentially, Report Portal is an IE SOAP client that consumes the XMLA web service provided by Microsoft. This gives Report Portal a technological advantage over other simalar products ProClarity (classic asp based) and Panorama (applet based).
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