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Holistic Data Model

Unchain Your Business and Data Models from the Tech Stack

A holistic data model can help you save time and money, improve efficiency and collaboration, and reduce risk.

A holistic data model is a unified view of your data that is independent of the underlying technology stack. This means that you can design and manage your data model without having to worry about the specific technologies that you will use to deploy it.

The benefits to using a holistic data model:

  • Improved data understanding: A holistic data model can help you to better understand your data and its relationships. This can lead to better decision-making and more effective data management.
  • Increased efficiency: A holistic data model can help you to be more efficient in your data management tasks. This is because the model can be used to automate many repetitive tasks and to identify potential problems early on.
  • Reduced risk: A holistic data model can help to reduce the risk of errors and inconsistencies in your data. This is because the model provides a single source of truth for your data and can be used to validate data before it is loaded into your data warehouse.
  • Improved compliance: A holistic data model can help you to comply with regulations and industry standards. This is because the model can be used to track and monitor your data and to identify any potential compliance issues.
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Risk & Compliance Benefits:

  • Reduced risk of vendor lock-in: A holistic data model can help you to reduce the risk of vendor lock-in. This is because you are not tied to any specific technology stack.
  • Increased flexibility: A holistic data model can help you to be more flexible in your technology strategy. This is because you can more easily change your technology stack without having to change your data model.
  • Improved scalability: A holistic data model can help you to scale your data warehouse more easily. This is because you are not limited by the capabilities of any specific technology stack.
  • Reduced maintenance costs: A holistic data model can help you to reduce the maintenance costs of your data warehouse. This is because you only need to maintain your data model, not the underlying technology stack.
  • Improved security: A holistic data model can help you to improve the security of your data warehouse. This is because you can more easily isolate your data model from the underlying technology stack.

Contact us today to learn more about how a holistic data model can help your business.

Get more information on Holistic Data Modeling 

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This blog inform you about news in the Microsoft BI Analytics domain as well about AnalyticsCreator. Especially all about Azure Analytics, Power BI and Azure Synapse.

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