Customer Journey Mapping: GitHub + SAP
What do customers do before they buy?
The problem
On paper the journey is: ad → landing page → purchase. Customers bounce between channels, devices, and touchpoints for days. You can't see it because each tool only sees its own piece.
GitHub tracks commits and pull requests, deployment events, release tags. SAP tracks financial accounting, inventory and materials management, production planning. Neither sees the other. That blind spot costs you money every day.
How askotter fixes this
askotter pulls GitHub and SAP into one data lake. With both data sets unified, it can map the real customer journey across every platform. Self-healing agents adapt as your data shifts, so the analysis stays accurate without manual tuning.
The full path in one view, with every interaction and decision point on it.
What feeds customer journey mapping
What happens when they're connected
Each tool answers its own questions. In one lake, askotter can also answer the questions that span both. Train these agents like your best employee and they become tireless assistants that scale your team's knowledge to everyone.
Correlates deployment timing with changes in customer behavior
Connects revenue anomalies to specific deployments
Ingests and compresses raw SAP exports into a queryable format
Before and after
| Capability | Without askotter | With askotter |
|---|---|---|
| Customer Journey Mapping | Manual, delayed | Automatic, real-time |
| Cross-platform data | Copy-paste between tabs | One data lake |
| Change detection | Weekly report | Minutes |
| Next steps | Figure it out yourself | Ranked actions, human-approved |
| Querying | SQL or export to CSV | Ask in plain English |
| Team knowledge | Tribal knowledge, lost in Slack | Saved notes, shared across teams |
Customer Journey Mapping in action
Ask your data lake anything. Save what matters.
Other analyses: GitHub + SAP
Customer Journey Mapping with other tools
All Integrations
askotter by City
Connect GitHub + SAP. Five minutes.
Connect or import and the data starts flowing. Your team reviews every recommendation. No engineering needed.
Self-managed is $99/mo and scales with the compute you use. Our team runs it from $600/mo.