BARC x Actian Research: Scaling Data Products–Key Challenges and What’s Next
Zusammenfassung
- Organizations still face challenges scaling data products, particularly around ownership, governance, and cross-team collaboration.
- These challenges are gradually decreasing as enterprises gain experience and refine their data product strategies.
- Data observability is emerging as a top priority (43%) to ensure data reliability and proactively detect issues.
- Future focus is shifting toward building trustworthy, well-governed data foundations to support AI at scale.
Erkenntnisse aus der weltweiten Studie von BARC und Actian aus dem Jahr 2026 unter mehr als 300 Führungskräften im Bereich Unternehmensdaten
Unternehmen aus allen Branchen investieren massiv in KI. Dennoch haben viele Initiativen nach wie vor Schwierigkeiten, über das Experimentierstadium hinauszukommen und einen nachhaltigen geschäftlichen Nutzen zu erzielen.
Um besser zu verstehen, was skalierbare KI-Initiativen von solchen unterscheidet, die ins Stocken geraten, hat sich Actian mit BARC, einem weltweit führenden Analyseunternehmen für Daten und Analytik, um eine weltweite Studie unter führenden Datenexperten in Unternehmen.
Auf der Grundlage der Erkenntnisse von mehr als 300 Befragten aus verschiedenen Branchen und Regionen untersucht die Studie, wie Unternehmen Datenprodukte und Datenverträge einführen und umsetzen und wie sich diese Ansätze auf den Erfolg von KI-Initiativen auswirken.
While adoption is accelerating, the research also highlights an important reality: implementing data products at scale remains a work in progress for many organizations.
BARC × Actian – Globaler Forschungsbericht (2026)
Scaling Data Products Still Presents Challenges
Despite the growing adoption of data products, organizations report several challenges when implementing them in practice.
Challenges when implementing data products – © BARC 2026
These challenges reflect the complexity of operationalizing data products across large organizations. Implementing this approach requires new practices for data ownership, governance, and collaboration between teams responsible for producing and consuming data.
As highlighted in the research, the transition toward managing data as products is still evolving, and organizations are refining how they structure and govern these initiatives.
Signs of Progress Across the Industry
Encouragingly, the research also indicates that many of these challenges are becoming less severe than in an earlier 2024 study.
As organizations gain experience with data product approaches, they are gradually learning to address operational and governance questions that arise as they scale these initiatives.
This suggests that data products are moving from an emerging concept toward a more established practice within enterprise data strategies.
Future Priorities: Strengthening Data Foundations for AI
Looking ahead, the research also examined which areas organizations plan to prioritize over the next 12 months as they continue scaling data products.
Areas related to data products that organizations are prioritizing in the next 12 months – © BARC 2026
The research shows that the primary driver of data product adoption is data quality—trustworthy inputs for AI systems and decision-making.
It is therefore no surprise that data observability is emerging as the next focus area (43%), as organizations seek greater visibility into the health and reliability of their data pipelines and the ability to detect and resolve issues before they affect production systems.
Alongside observability tools, practices such as data contracts are increasingly used to ensure that expectations around schema, ownership, and quality are clearly defined.
Overall, these new priorities highlight a broader shift: enterprises are increasingly focusing not only on building data platforms but also on ensuring that the data powering analytics and AI is trustworthy and well-governed.
Den vollständigen Forschungsbericht herunterladen
Dieser Artikel stellt einige wichtige Erkenntnisse aus der weltweiten Studie von BARC und Actian vor.
Der vollständige Bericht, Datenprodukte und Datenverträge im Jahr 2026: Die Grundlage für den Erfolg der KI, untersucht, wie Unternehmen verschiedener Branchen und Regionen Datenprodukte und Datenverträge einführen und operationalisieren – und wie diese Praktiken die KI-Reife, die Governance und die Ergebnisse in der Praxis beeinflussen.
Laden Sie den vollständigen Bericht herunter, um die Ergebnisse zu entdecken und zu erfahren, wie führende Unternehmen KI mithilfe von Datenprodukten skalieren.
Vollständigen Bericht herunterladen
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