SAP Business Intelligence


What is Business Intelligence (BI)?

The end-to-end process of BI pertains to analyzing the data generated by businesses, transforming the data into insights, and then leveraging those insights into making optimal decisions. BI tools primarily leverage “descriptive analytics,” as these tools traditionally focus on analyzing the current and historical performance based on data generated by the enterprise.

What is Business Intelligence (BI)?

The end-to-end process of BI pertains to analyzing the data generated by businesses, transforming the data into insights, and then leveraging those insights into making optimal decisions. BI tools primarily leverage “descriptive analytics,” as these tools traditionally focus on analyzing the current and historical performance based on data generated by the enterprise.

Sap BI Tools

SAP BusinessObjects is among the most widely used centralized BI tools that provides organizations the ability to perform reporting, create visualizations and generate real-time BI. BusinessObjects is the on-premises BI layer for SAP’s Business Technology Platform (BTP). SAP Analytics Cloud is another analytics related solution from SAP. It is currently the flagship analytics tool that SAP positions as an enterprise analytics tool. It encompasses all the analytics capabilities that Business Objects has to offer and much more.

In addition to these tools, there is a wide portfolio of third part BI tools available from SAP partners like Pyramid Analytics

Key Considerations for SAPinsiders

  • Build a foundational analytics culture: While SAP sees the future of analytics in the cloud, primarily in the form of SAP Analytics Cloud (SAC), BI tools like BusinessObjects provide a great opportunity to fine-tune the “data-driven culture” aspect of your organization. Success with analytics tools is more about the capability to assimilate, absorb and leverage the tool in day-to-day decision making and less about the tool itself (Source: SAPinsider research “Analytics in The Cloud”)
  • Document BI tools in action: A powerful way to capture the value BI tools deliver is to document use cases generated by business users and share these across the organization to promote the penetration of not only the tool but the culture of data-driven way to run the business. You can find examples of BusinessObjects use cases on leading platforms like SAPinsider and SAP blogs.
  • Understand the transition to cloud roadmap: There is no doubt that SAP BusinessObjects Enterprise has amassed an immense userbase. However, as the need for business intelligence evolved, SAP created a new Software-as-a-Service (SaaS) product in SAP Analytics Cloud. SAP has made it clear that the ultimate go-forward solution for SAP BusinessObjects Enterprise users is SAP Analytics Cloud. Many SAP BusinessObjects customers have yet to move to SAP Analytics Cloud, and it is therefore imperative that they start planning on this transition strategy. Read more about what product leaders at SAP have to say about this journey to the cloud.

71 results

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    Creating a cohesive data fabric is integral to organizational business intelligence (BI). However, while many organizations strive to reach this goal, there is often a gap between building cohesive data fabric strategy and its execution. The introduction of SAP Datasphere earlier this year aimed to address this need by harmonizing mission-critical data across the enterprise…
  4. Evolving BI

    Evolving BI and Analytics

    Reading time: 1 mins

    Creating a cohesive data fabric is integral to organizational business intelligence (BI). However, while many organizations strive to reach this goal, there is often a gap between building cohesive data fabric strategy and its execution. The introduction of SAP Datasphere earlier this year aimed to address this need by harmonizing mission-critical data across the enterprise…
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    Behind all the innovative features and functionalities of business intelligence and analytics tools is one key need- to be able to leverage the power of analytics across the enterprise. That is one of the key needs that users have when they think about enterprise analytics. And for that to happen, a tool must be “fluid”…
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    In This Report: We have entered the age of Artificial Intelligence (AI) and Machine Learning (ML). Technology has taken a massive leap in the last decade and is expected to take another exponential leap in this coming decade, leading to rapid advances in the discipline of data science. Data science practices introduced the world of…...…
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    The Future of Business Intelligence Benchmark Webinar

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    In This Webinar: We have entered the age of Artificial Intelligence (AI) and Machine Learning (ML). Technology has taken a massive leap in the last decade and is expected to take another exponential leap in this coming decade, leading to rapid advances in the discipline of data science. Data science practices introduced the world of…
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    By Kumar Singh, Research Director, Automation & Analytics, SAPinsider Integrated challenge of process and data management A key challenge that organizations operating in complex technology ecosystems like SAP face is managing their business processes seamlessly and efficiently. From  a systems perspective, business processes within an ERP system span across several modules and hundreds of tables…....…