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5 Data Warehouse Design Mistakes to Avoid

  • 5 Data Warehouse Design Mistakes to Avoid-

    Visual Appeal vs. Speed

    Mistake 5: Finding a balance between speed and visual appeal

    Accessibility and speedy action is what drives a data warehouse forward. Though fancy charts and reports might tempt you, do not sacrifice speed! In order to gain popularity among users, IT teams have noted that speedy response times are the prime swaying factor. A report may take a few seconds to load, while a chart could take three minutes. It would be a mistake to prioritize visual appeal over speed when designing the data warehouse process.

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5 Data Warehouse Design Mistakes to Avoid

  • 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8
  • 5 Data Warehouse Design Mistakes to Avoid-6

    Visual Appeal vs. Speed

    Mistake 5: Finding a balance between speed and visual appeal

    Accessibility and speedy action is what drives a data warehouse forward. Though fancy charts and reports might tempt you, do not sacrifice speed! In order to gain popularity among users, IT teams have noted that speedy response times are the prime swaying factor. A report may take a few seconds to load, while a chart could take three minutes. It would be a mistake to prioritize visual appeal over speed when designing the data warehouse process.

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.