
Find out how to implement a BW InfoCube to enable users to query comments out of the BW Document Repository Manager that have been created on BW transactional data. Key Concept During a planning process or reporting process users may enter comments on the data to quantify the result. A process controller uses these comments…
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SimpleFi CFO Event Highlights EPM, Finance StrategiesSimpleFi Solutions and VistaVu are hosting a summit on April 16 in Chicago for CFOs and IT leaders to explore the integration of SAP S/4HANA, Enterprise Performance Management, and SAP Business Data Cloud into a unified finance strategy.
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SAPinsider Benchmark Research – Technology Leader’s Strategic Agenda for 2026Technology leaders in the SAP space must balance the need to continuously innovate and remain current on SAP solutions and technology while supporting the needs of business teams and achieving organizational goals. In 2026, these leaders face significant challenges. Geopolitical instability and global macroeconomic uncertainty must be weighed against the need to complete and optimize ERP transformations, deploy AI within SAP applications, and manage costs effectively. This can make supporting business priorities while driving innovation a challenge that should be explored and understood.
To understand the strategic agenda for technology leaders in 2026, SAPinsider surveyed its community between December 2025 and March 2026 to identify their key priorities for 2026, what they are doing to support business goals, the biggest challenges they are facing as a technology leader, their SAP priorities and planned investments, the status of their ERP journey, and their planned use of AI in SAP-related initiatives. Additionally, respondents were also asked about the global factors they expect will impact their strategies in 2026.
Not surprisingly, increasing operational efficiency and reducing costs were identified by 70% of respondents as their top priority. Managing costs has long been important for technology leaders, even as they strive to implement technologies that support new or changed business requirements. While it is not always possible to manage costs, it may be more possible to increase the efficiency of existing processes, which can, in turn, bring cost savings. Technologies that help achieve these goals are crucial from a business priorities standpoint.
Download the benchmark report to read the full data analysis and receive recommendations for your own plans.
- Discover why foundational investments in SAP BTP are currently outpacing direct spending on artificial intelligence.
- Learn how macroeconomic volatility and geopolitical tensions are actively forcing IT leaders to restructure their SAP roadmaps.
- Understand the critical danger of deprioritizing cybersecurity during rapid ERP transformations and AI deployments.
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SAPinsider Benchmark Report | SAP Business Data Cloud Use Cases and AdoptionSAP Business Data Cloud (SAP BDC) is becoming SAP’s unified, governed, AI ready data platform, addressing the limits of legacy architectures that cannot support real time analytics or AI-driven decision-making. While strategic interest is high, adoption is still early: only 3% of organizations have a unified governed data layer, and 38% remain siloed. Governance maturity is also low, with one third lacking formal governance—gaps that slow analytics progress and block AI scalability.
Despite this, investment momentum is strong. Analytics modernization (28%), AI and agent-based use cases (26%), and S/4HANA transformation (26%) are top drivers, signaling a shift toward SAP BDC as an AI-first platform. Early adopters are already deploying predictive analytics, supply chain visibility, and agentic workflows powered by Joule-based AI.
Data products are central to value realization. Finance data products, AI-ready datasets, and cross-domain composites—each at 47% adoption—reflect the need for LLM-ready data to fuel AI and automation. Barriers remain significant, including budget constraints (44%), landscape complexity (34%), unclear positioning (32%), and limited skills (30%). Another 26% lack sufficient SAP BDC knowledge.
Where SAP BDC is in production, results are compelling: >25% improvements in decision-making speed (43%), data quality (36%), AI acceleration (36%), and operational efficiency (38%). The research makes clear that SAP BDC represents a strategic architectural shift. Organizations that modernize data foundations, strengthen governance, and prioritize early AI and finance use cases will gain the strongest competitive advantage.
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