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The Right Architecture for Business Intelligence

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101-page guide: Cloud BI

As vendors of business intelligence (BI) programs continue to expand their offerings, cloud BI has emerged as a leading adoption method.

But what are the benefits and concerns attached to cloud BI? What about deployment models and must-have features?

Moreover, many companies remain worried about the security implications of running their BI initiatives off-prem.

Check out this Dresner Advisory 2020 Cloud Computing and Business Intelligence Market Survey to learn more about this developing market area.

These are also closely related to: "The Right Architecture for Business Intelligence"

  • How Kyvos can speed up your analytics processes

    Even companies that have an intelligent, centralized data architecture layout struggle with data bottlenecks as their BI tools try to pull information from their data lakes.

    You might have the correct programs for their data analytics and BI initiatives, but the time that it takes to see insights is often unsatisfactory.

    Read this architecture guide to learn how Kyvos’s Smart OLAP provides your business with an overlying layer than can accelerate analytics processing times from minutes to seconds.

  • The reason why old BI platforms just don't cut it anymore

    As businesses are inundated with different sorts of business intelligence offerings—self-service BI, augmented analytics, cloud BI—some are left wondering if making a switch is even worth it.

    The simple fact of the matter is, it’s not just worth it, it’s necessary. Without a modern BI platform, your business will be tethered to your old data ecosystem and unable to adapt to the security, quality, and 24/7 demands of modern consumers.

    Check out this custom white paper to learn why legacy BI models are broken and how to solve this problem.

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