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Align your BI deployment method to business needs

Seven critical factors that lead to success

For organizations considering investing in Business Intelligence (BI), it often makes sense to consider the Cloud as a means of deployment for some or even all of its components. But what are the drivers for deploying BI in the Cloud? And in what cases should BI remain on-premises?

To accompany the launch of Sage X3 Data Management and Analytics 7.4, the hybrid BI release from Sage, we’ve created a guide to help you choose a deployment method that meets your business needs, whether it’s your first BI implementation, or you’re replacing an existing investment.

Technology should never be for technology’s sake. There must always be a real need and business benefit driving any investment decision. It is with this in mind that we suggest the following seven critical business (not just technology) considerations when planning a BI deployment.

  1. BI infrastructure performance
    How will Data Gravity impact the performance of your BI infrastructure and what can you do to maximize it?
  2. Managing the risks associated with data
    How to protect your data should be a serious consideration when deciding where and how it is collected, stored, accessed, and managed by your BI deployment.
  3. Ensuring legal compliance
    Legal considerations are critical factors to consider. Issues of compliance should influence how and where you deploy elements of your BI infrastructure.
  4. Controlling total cost of ownership (TCO) and return on investment (ROI)
    Investing in BI needs to provide an ROI. The commercial structure of your deployment will have a significant impact on TCO and ROI.
  5. Alignment with current and future BI and IT strategy
    Your business’s current IT infrastructure strategy and data and analysis maturity should be a key factor in deciding how to deploy BI.
  6. Meeting the demands of changing business models
    Your organization’s current business model, how it will evolve, and to what extent it is or will be digital, should inform your hybrid BI strategy.
  7. Managing cultural resistance to new technology
    Ensure your deployment choice is made based on sound rationale and not your business’s culture or the views of the people accountable for investment.

You can get more details on all of the above points by downloading the free Hybrid BI Strategy Guide.

SDMA’s architectural flexibility means any element of the solution (web application, data warehouse, multidimensional semantic layer) can be deployed in any combination, on-premises, on a public cloud platform using either services or virtualized environments, or on a private cloud.

For more information on the enhanced architectural flexibility of SDMA 7.4, as well as other features of the new release, watch our What’s New in SDMA video.

Guest Blogger

Our "Guest Bloggers" come from a variety of backgrounds and companies. They can be Sage people, Sage Business Partners, Independent Software Vendors, Thought Leaders or Analysts, that have valuable knowledge, expertise and experience on a variety of different subjects and topics.

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