In this post, we are going to see how Rabio can help in data processing while being part o a project.
What is Data Processing?
In Wikipedia’s article you can also find a definition of Data Processing which is:
“Data processing is, generally, “the collection and manipulation of items of data to produce meaningful information.”
How Rabio can help Project Management with Data Processing?
Rabio is a lite and flexible web system that can be part of a project by gathering and processing data for a wide range of financial activities.
The strength of the database backend can be the main data system that will gather and host valuable information data. As a data processing system, it provides project management with high-quality reports.
Rabio can help in the data processing for project management as:
- Cost Control Data System: Rabio can be the main data system for cost control data. A cost control department can rely on Rabio for data processing. Cost control management and project management can be sure that will have reliable and accurate data during the development of a project. See more here
- Equipment Cost Management: during the development of almost any project, equipment is involved and it is composed of a variety of vehicles, tools, and machinery. Rabio can control activities related to equipment and give detailed or summarized reports helping project management to control equipment-related costs and take critical decisions. See more here
- Inventory – Store Management: the structure of Rabio is based on categories that are able to measure quantities per center and per category. According to the setup of a project Rabio can be used to record:
- Delivered Quantities
- Consumption Quantities
- Remaining Quantities (Stock)
For Inventory – Store Management see more here
Finally, Rabio can be part of a project as an information data source where other tools can not cover. With its powerful data processing capabilities, the user-friendly environment, and the flexible user-role system Rabio can be part of a project adding value to project management decision making.