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5 Data Warehouse Design Mistakes to Avoid

  • 5 Data Warehouse Design Mistakes to Avoid-

    Conclusion

    A data warehouse can fail even before you begin designing. If the foundation for your data warehouse is flawed, then your business intelligence can't be reliable. By looking to the future for your design, having the correct team, protecting the integrity of the metadata layer and prioritizing speed over visual appeal, you can create an almost flawless data warehouse design.

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5 Data Warehouse Design Mistakes to Avoid

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    Conclusion

    A data warehouse can fail even before you begin designing. If the foundation for your data warehouse is flawed, then your business intelligence can't be reliable. By looking to the future for your design, having the correct team, protecting the integrity of the metadata layer and prioritizing speed over visual appeal, you can create an almost flawless data warehouse design.

A data warehouse lies at the base of any business intelligence (BI) implementation project. And if you are designing your data warehouse to help you visualize your company's most relevant data (as well as streamline workflows — which can help your company cut down on redundancies significantly), then you need to map out all the areas where there is a potential for your project to fail, before you begin building.

In this article, Himanshu Sareen, CEO at Icreon Tech, has identified five design mistakes that companies should avoid.