s-peers AG

Hälg Success Story: How Hälg Facility Management AG Created a “Single Source of Truth” with s-peers

31.08.2026

About the Client Hälg Facility Management AG, headquartered in Zurich, is a leading Swiss service provider in the field of integrated facility management. The company is part of the Hälg Group and offers comprehensive services covering the entire life cycle of buildings and facilities. Our existing dashboards suffered from a complex architecture and…

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SAP Sapphire 2026 Glossary: Joule, AI Agents, and the Autonomous Enterprise Explained Simply

AI, SAPPHIRE

28.07.2026

Joule, AI agents, Autonomous Enterprise, A2A protocol—all the new SAP terms from Sapphire 2026 at a glance. Look them up now in the s-peers glossary.

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Google BigQuery vs. SAP BW: A Comparison of Two Data Warehouse Solutions

BigQuery, Data Warehousing

26.07.2026

This Wiki article introduces two leading solutions for data management and analysis in today's data-driven world: Google BigQuery and SAP BW. Both systems offer powerful functionalities but differ in their approaches and areas of application.

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AI Transformation and Behavioral Economics: Why People (Often) Don't Want to Change

Switch, IT Basics

17.07.2026

In this wiki, Yvonne explores—from the perspective of behavioral economics—why change is so difficult in organizations. Why don’t people take action even though they realize that change is necessary? What does a surfing wipeout in San Sebastián have to do with the implementation of AI? And what do the research findings of Kahneman, Tversky, and Kübler-Ross reveal about how communication actually works during change? With concrete success factors and a clear message: Change management is not a side issue in AI implementation—it is the primary task.

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AI Adoption Success Factors: Change Management

What Really Drives AI Adoption in Companies? 6 Factors That Determine Success or Failure.

Switch, IT Basics

17.07.2026

This wiki explores why change rarely fails because of technology, but rather because of psychological patterns, and how to deal with them effectively. Specifically, the authors* explain key phenomena such as the Dunning-Kruger effect, status quo bias, loss aversion, cognitive dissonance, escalation of commitment, and the self-fulfilling prophecy. They present real-world examples from analytics transformations and provide concrete countermeasures, metrics, and a clear roadmap for greater acceptance.

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