Data platform delivery, Data Mesh solution, and Data Modelling are three key components of a successful data strategy. By understanding and implementing best practices for each of these areas, businesses can ensure that their data is accurate, reliable, and actionable.
At Bi3 Technologies, we have delivered similar projects for a wide range of industries and some of Australia’s household-name organisations.
Some key features of our best practice Data Platform Delivery service offering include:
- We use automated processes and frameworks that reduce the go-to-market time drastically quickly.
- We have intimate knowledge of leading technologies such as AWS, Azure, and Snowflake. This ensures you get it right the first time.
- We have an incredible track record for hitting the dates we promise. This is made possible by our technical experience and project management disciplines.
- We worked with various organisations in different industry domains and have an intimate understanding of the core data sets. We can help you see the use cases that you haven’t come across yet from our knowledge bank.
- Data platform delivery is the process of building and deploying a data platform that can handle the volume, velocity, and variety of data that a business generates. Best practices for data platform delivery include selecting the right technologies, designing for scalability, and testing for performance and security. A Data Mesh solution, which is a way of building data platforms as a set of independent, autonomous services, can also be implemented to achieve this. This approach allows businesses to be more responsive to changing data needs and to scale their data platform as needed.
- Data modelling is the process of designing and implementing data structures that accurately represent the real-world entities and relationships that a business deals with. We help implement best practices for data modelling including using standard data modelling techniques like Conceptual Data Modeling, Logical Data Modeling, Physical Data Modeling, Dimensional Modeling, and ER Modeling.
- When implementing these best practices, we ensure to keep in mind the context of the business, the needs of the users, and the goals of the project. By considering these factors, businesses can create a data platform that is tailored to their specific needs and is able to provide valuable insights.
By understanding and implementing best practices for each of these areas, businesses can ensure that their data is accurate, reliable, and actionable.
It is also important to note that the Data Mesh solution has been gaining popularity lately as it allows businesses to be more responsive to changing data needs, and scale their data platform as needed.
By designing for scalability, data quality and data integrity, businesses can create a data platform that is tailored to their specific needs and is able to provide valuable insights.