Data has become an indispensable resource for modern businesses. Virtually every organization invests in systems, platforms, and tools to collect and analyze data and make it actionable for decision-making.
But in practice, the reality is quite different. Many companies struggle to generate real value from their data. Reports are questioned, numbers are double-checked, and decisions are delayed – or continue to be made based on experience and intuition.
Data is scattered across silos
Reports contradict each other
Dashboards are rarely used
Decisions continue to be based on gut feelings
The result: Data loses its intended purpose and instead becomes the problem itself.
Companies are investing in data, analytics, and AI – but the results often fall short of expectations. The latest figures from the “ASUG Pulse of the SAP Customer Research 2025” study clearly show that the biggest challenges companies face stem from a lack of foundational capabilities, expertise, and clear strategies.
These results are no coincidence; they reflect a structural problem: Many companies are driving innovation without having laid the necessary groundwork. Poor data quality, unclear governance, siloed structures, and limited resources lead to the failure of investments in analytics, new technologies, and business AI.
Ensure consistent, high-quality (master) data across all systems – as the foundation for stable processes and well-informed decisions.
Define responsibilities, standards, and guidelines to ensure data quality, transparency, and compliance in the long term.
Gain real-time insights into your business processes and establish a reliable foundation for operational and strategic decisions.
Integrate your planning directly into your data landscape and increase the agility, accuracy, and speed of your financial processes.
Use historical and current data to identify trends early on and make accurate predictions.
Use artificial intelligence to identify patterns, automate processes, and take data-driven decision-making to the next level.
Isolated systems and data silos
Inconsistent master data
Lack of governance
Low confidence in reports
Uniform data models
High data quality
Clear responsibilities in the context of data governance
A reliable basis for decision-making for both humans and AI
After about 365 days with SAP Business Data Cloud (BDC), one thing is clear: The vision of SAP BDC as a unified data platform is absolutely right. Our white paper provides an overview of where SAP still needs to deliver in terms of functionality and explains why now is the right time to strategically implement SAP BDC.
Data governance provides a solid foundation for effective data management and is essential for a successful digital transformation. The study “Data governance in volatile times” examines the drivers, challenges, and trends in data governance and shows how companies can gain a competitive edge through effective data governance.
The increasing use of artificial intelligence (AI) to automate processes and decisions is further boosting the already enormous importance of data for business success. The BARC Data, BI and Analytics Trend Monitor 2026 summarizes the topics that companies should put on their agenda in order to become data-driven organizations.
Let’s work together to create a unified data foundation for your company and implement data-driven steering of your organization.