In an eCommerce scenario, a data warehouse approach for storing data is common. Indeed, there is a deluge of data in such a scenario, and you need to make sure that all the data is stored in such a way that you can retrieve them easily and effortlessly. The ease of ETL or extracting data from various sources, transforming them into usable variables, and loading them onto the data warehouse is very important for any eCommerce business.
However, the ease of ETL does not end with a data warehouse. You need to make sure that the data modeling techniques used in making the data warehouse are in sync with the requirements of faster data retrieval for data analysis and other requirements. This makes SQL Server Dimensional Modeling a very important aspect of designing a database or a data warehouse.
Since data analysis is a very significant requirement for any eCommerce player, you need to ensure that data residing in your data warehouse is suitable for quick retrieval. With proper dimensional modeling this may be a possibility.
Issues With Dimensional Modelling
Nevertheless, dimensional modeling of every category of data is a difficult and time-consuming job. It is more so in an eCommerce scenario. You can get around this problem by choosing an online data modeling app. Indeed, you can do SQL Server Dimensional Modelingonline and transform data easily and without writing any code.
There are online systems that can help you model a deluge of data readily and without any error. You just need to make sure that you are using the right online system.
Dimensional Data Modelling
A dimensional data model helps the systems read, summarize, and analyze numeric information like values, counts, balances, weights, etc. In relational modeling, on the contrary, you can do addition, updation, and deletion of data easily. However, relational modeling is more appropriate in the case of real-time Online Transaction Systems. SQL Server Dimensional Modeling is more appropriate for data analysis like in business intelligence. In dimensional modeling, data is arranged in such a way that it becomes easier to retrieve relevant information through carefully designed SQL queries.
Online Data Modelling
Online data modeling is a very helpful technique in an eCommerce scenario involving data analysis. Since the accuracy of data analysis depends a lot on the freshness of data, you need to make sure that recent data from all the sources are present in the data warehouse. With the help of online SQL Server Dimensional Modeling you can ensure that you have fresh data in the data warehouse in the most recognizable and analytical form; so that you can carry on with business intelligence operations for accurate insights into your business parameters.
To Conclude
If you are looking for ways to enhance business intelligence effectiveness, you need to make sure that your data modeling is congruent with changes in data. Online modeling can help you achieve the same.