Data Modelling

At DigitSilo Analytics, we take a structured approach to modeling and normalizing data to ensure that it is organized, structured, and easy to work with.

To begin, we identify the entities that are relevant to our client’s business and determine the relationships between them. This allows us to create an Entity-Relationship (ER) model, which provides a clear picture of the data and its relationships.

Data modeling and normalization rely on high-quality data to be effective. We ensure that our clients data is accurate, consistent, complete, and relevant.

We prioritize some key pre-processing steps, which includes data profiling, data cleansing, and data validation to ensure that the data meets the required quality standards.

We implement data quality checks and controls throughout the data modeling and normalization process can help ensure that the resulting database is of high quality and can support business operations effectively.

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