Evolving BI and Analytics

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Key Takeaways

⇨ Include business intelligence objectives in organizational strategic plans and enterprise roadmaps

⇨ Focus on business intelligence technologies that support agile decision-making for stakeholders

⇨ Ensure line of business and IT teams collaborate on business intelligence initiatives

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 while maintaining its business context. However, SAPinsider research shows that a need to demonstrate return on investment (ROI) and provide faster time to value may override such broader, strategic goals.

Although four in five respondents reported that their organization was currently considering, planning, or implementing business intelligence solutions, most are still in the early phases of their deployments. The challenges that they face in deploying these initiatives relate to budget, change management issues, and embarking on broader programs rather than trying to provide quick wins. Despite the need for a cohesive data fabric, respondent organizations are constrained with demonstrating ROI, faster time-to-value, and limit expenditure. This may preclude them from meeting their broader business intelligence objectives even though there is a need for more agility and cross-enterprise capabilities in business intelligence. However, as operational business intelligence gets embedded in strategic plans and roadmaps, organizations will be able to better engage with their business intelligence plans.

Download the benchmark report to read the full data analysis from 178 members of the SAPinsider community and receive recommendations for your own plans.
- Explore the factors behind the need for business intelligence and analytics to evolve
- Learn whether business intelligence objectives are part of long-term strategic and enterprise planning
- Understand the challenges that organizations face with deploying business intelligence programs
- See what data consumption tools, technology platforms, and databases/data lakes are being used

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