Cloud infrastructures have transformed the industry in uncountable ways and increased the level of accessibility multi-fold. The demand of the time has led to creating systems like SQL server business intelligence, which have centralized data management.
It aims to unite every business unit's sales and order-related data at a central data repository at every possible location. This data would further be analyzed to derive the required information and generate reports on demand.
Modeling the SQL Server Business Intelligence Tool
Such a business requirement requires the creation of a system with an OLTP data Model. It should be capable of storing data from an online interface, analyze, report, and act as a data source.
The database will store all types of numeric data to be worked on in the system. Simultaneously, the SQL Server Business Intelligence is the part that draws out the meaning from the data and makes it presentable for action planning.
It thus presents the concise form of the information which the relevant departments act upon further. Moreover, tools like SSRS The Right Tool, make the process much convenient and efficient.
Conceptualization of the Data Model
For developing the SQL Server Business Intelligence data model, it is necessary to conceptualize it. An entity-relationship factor is also considered here during modeling to define connections.
Following are some of the points that can be used to derive the conceptual model.
Your business might have a structure unique to it, and so must the other companies using this tool. SSRS The Right Tool, can, however, manage to develop a simple as well as an elaborate business scenario.
By creating an entity-relationship diagram or an E-R diagram, you can figure business relationships and dependencies quickly. Once the conceptual data model is ready, it is further used to develop a logical model.
Creating the Logical Data Model
To proceed with the SQL Server Business Intelligence data modeling, now it is essential to develop the logical model. It requires simple identification and addition of the attributes listed in the conceptual model.
Here, the entities will be arranged according to their level of hierarchy and categorization. For instance, for a product, it will be- Product Categories> Product Sub-Categories> Product.
Also, a data dictionary is created in this phase, which defines the attributes' business meanings.
Creating the Physical Model
After the logical model is developed, the database management system is further implemented to the same. It is called the Physical Model, and it holds all the attributes, tables, databases, procedures, triggers, etc.
The model hence developed contains all the necessary elements, entities, and relations of the business. By comparing this with the logical model, you can figure that the Physical model is indeed a complete representation of your business scenario.
SQL Server Business Intelligence makes it easier for a business to analyze the business outline and generate actionable reports. Also, SSRS The Right Tool is the right tool for the same. Once the data modeling is complete, you can utilize it in the best interest of the business.