The quantity of collected and stored data is growing from day to day.
But the raw data is not so important for any type of business as the statistically processed and appropriately presented data.
The BI consists of several technologies that include:
- Multidimensional aggregation and allocation
- Demoralization, tagging and standardization
- Real-time reporting with analytical alert
- A method of interfacing with unstructured data sources
- Statistical inference and probabilistic simulation
- Key performance indicators optimization
Special attention should be paid to semi-structured or even unstructured data.
RanockSoft specialists have a great experience working with volumes of unstructured data to present the information in the way that can be absorbed by the human and will allow him to make a decision.
RanockSoft has a big experience working with the following BI solutions:
- Oracle Business Intelligence
- Microsoft BI for SQL Server
- OLAP Services
Online Analytical Processing (OLAP) databases facilitate business-intelligence queries. OLAP is a database technology that has been optimized for querying and reporting, instead of processing transactions. The source data for OLAP is Online Transactional Processing (OLTP) databases that are commonly stored in data warehouses. OLAP data is derived from this historical data, and aggregated into structures that permit sophisticated analysis. OLAP data is also organized hierarchically and stored in cubes instead of tables. It is a sophisticated technology that uses multidimensional structures to provide rapid access to data for analysis. This organization makes it easy for a PivotTable report or PivotChart report to display high-level summaries, such as sales totals across an entire country or region, and also display the details for sites where sales are particularly strong or weak.
Ranocksoft specialists are have a big experience working with OLAP databases thatare designed to speed up the retrieval of data. Because the OLAP server, rather than Microsoft Office Excel, computes the summarized values, less data needs to be sent to Excel when you create or change a report. This approach enables you to work with much larger amounts of source data than you could if the data were organized in a traditional database, where Excel retrieves all of the individual records and then calculates the summarized values.
OLAP databases contain two basic types of data: measures, which are numeric data, the quantities and averages that you use to make informed business decisions, and dimensions, which are the categories that you use to organize these measures. OLAP databases help organize data by many levels of detail, using the same categories that you are familiar with to analyze the data.