Setting Up SAP Databricks: What It Is, How to Start, Where the Limits Are
SAP Databricks is neither a connector nor a database. How to set it up in SAP Business Data Cloud, connect data, and where the limits are for ERP harmonization.
The world is changing — we shape the transformation.
From the big picture to a clear roadmap.
Where strategy meets the reality of operations.
Automation that works down to the detail.
SAP Databricks is neither a connector nor a database. How to set it up in SAP Business Data Cloud, connect data, and where the limits are for ERP harmonization.
License management for SAP and Oracle: why both vendors count potential rather than use, where the rules that matter actually live, and…
SAP agents act with the triggering user's permissions. What SAP AI Agent Hub governs, what it leaves to your role design, and three decisions before go-live.
SAP plans to bill Joule Agents per action. Why SAP's value figures cannot carry your business case, and how to build one from your own processes.
In CISA's catalogue of confirmed exploitation, edge and appliance vulnerabilities carry a 36 per cent ransomware share against 21 per cent overall. Counting vulnerabilities is the wrong measure.
Agentic AI turns a model question into an authorisation question. The four questions that decide agent risk, and why a system map cannot answer them.
AI agents handle defined tasks within business processes – such as data reconciliation, classification or case handling – and act semi-autonomously rather than just suggesting. Sascha Theismann deploys AI agents where they measurably reduce cycle time or processing cost, embedded in a clear AI strategy rather than as isolated pilots.
An effective AI strategy prioritises use cases by business value and feasibility, not by technology hype. Sascha Theismann anchors AI – especially in mid-sized companies – in existing processes and data, defines the target KPI up front and scales only use cases that prove themselves in operation, turning pilots into measurable value.
Process mining reconstructs real workflows from IT system log data and reveals bottlenecks, loops and deviations. Sascha Theismann uses process intelligence as the factual basis: only once the actual process is transparent can automation and AI be applied where they have the greatest leverage.
Automation pays off for stable, rule-based and frequently repeated tasks with clear data input. Sascha Theismann first examines the process itself – a poor process only runs faster, not better, once automated. Understand and simplify first, then automate with RPA or AI.
Value realization means a process or AI initiative delivers measurable business value – shorter cycle times, lower error rates or reduced cost per transaction – not just technical operation. Sascha Theismann makes that value trackable through KPIs from the start, so transformation is measured by outcomes, not by the tool deployed.
Sascha Theismann is an Associate Partner at Infosys Consulting and supports mid-sized companies with digital transformation, AI strategy and process intelligence – with a focus on measurable value. The easiest way to start a conversation on these topics is via the contact form on this site or through LinkedIn.
About digital transformation, AI strategy or your SAP roadmap.