It all starts with raw data that (if not processes) are not valuable. Like the oil that was not sourced and refined.
Raw data have to be correctly sourced and processes (cleansing, aggregation etc). Then they can be transformed into information (e.g. the most costly part of the portfolio) and knowledge (the reasons behind this). Having the knowledge on causes of the problem we can take appropriate actions. The more efficient the process is the better taken decisions are.
Microsoft Power BI is a suite of tools that supports the process of data processing - from sourcing to suggesting optimal decision. The process is supported by Power BI tools:
Power BI Desktop
A desktop version of Power BI (free download from Microsoft website). It is the most complex version of Power BI that allows to get data from different sources and process them. It also allows users to create dynamic reports that can be easily analysed. It creates .pbix files that contains the data model (aggregated data) and the report. It is a proper choice for people who work with raw data and prepare reports.
Power BI Service
It is a cloud version of Power BI. It allows to get pre-processed data and prepare reports. It is not as complex as Power BI Desktop however it allows to cooperate with others and share the reports with people without Power BI Desktop installed on their computers. You can easily transfer reports between desktop version cloud version.
Power BI Mobile
It is a version dedicated to mobile devices like tablets and smartphones. It allows a covinient analysis of reports - any time and any place.
Look at the video with BI report sample:
There are few reasons of growing popularity of BI:
1. Money savingSpeed and easiness of data analysis allow to understand the business environment better and take proper business decisions
2. Time savingHaving a BI implemented, it is a matter of few clicks to automatically create interactive, multidimensional report.
3. New opportunities of developmentJoining different kinds of data into one data model helps discovering new synergies, correlations and opportunities for business.
4. Standardization and reliabilityIntroduction of Business Intelligence comes with validation and standardization of data sources, what increases the reliability of information.
Business Intelligence have many applications in:
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