Once collected, the data is processed and grouped into data lakes , where it can be accessed and used for further analysis. Correct order and categorization is essential to make all this volume of information useful, as is the optimization of said corpus.
Just like with papers in the office, if you can't find what you need, either valuable work time will be lost or your analysis efforts will be disorganized or wasted.
The use of digital tools for processing can be very useful. These, already designed for the subsequent tasks, can provide a defined structure of organization and visualization that is very positive for reading.
Parameters can be used for storage, making subsequent queries more dynamic and flexible; examples include including date ranges, specifying the file path, or defining the data source connection string.
The analysis
This is the heart of BI. Data analysis is not just about: without the previous steps, it would be impossible. However, this is where the effort of collecting and organizing information becomes relevant. At this point, data mining and predictive analysis are used to discover significant patterns, trends and relationships. Strategies to improve, markets to attack, products to add or subtract, and so on can be determined.
Since Excel and other similar systems have limitations to apply at this point, it is highly recommended to use tools such as PowerBI not only to collect information, but also to enhance observation. but should offer the possibility of optimal customization and complexity (for example, with the integration of more complex technologies such as Python ).
Data is first analyzed by determining an objective : what is it that you cambodia phone number want to achieve. Then comes the actual reading, where techniques such as OLAP (Online Analytical Processing) are used, which allows users to explore the data from different perspectives, perform complex studies and obtain valuable information for strategic decision-making.
Data visualization
This is the final point of the process, no less important than the previous stages. The resulting information must be presented visually through interactive dashboards, graphs and scorecards that facilitate understanding and quick and effective decision-making.
At this point it is also advisable to take advantage of the possibilities that digital BI tools can provide.