BetishOpsExtraction
Organize read-only SAP data collection, preserve the time of each observation and distinguish complete information from missing data.
Explore capabilityObservability Platform for SAP
From SAP signals
to operational
evidence.
Observe your SAP landscape, connect events and understand what needs attention. Extraction, indicators and Ada in one evidence-led experience.
SAP S/4HANA · SAP BTP · Scope tailored to your environment
Observability PlatformDEMONSTRATION
Observation center
One operation. Multiple perspectives.
Customer: ExampleSystem: DEMOSAP client: 100
Observed services12In this example
Need review2With linked evidence
Complete snapshots9 / 123 with partial coverage
Observation activity
06:0009:0012:00
Signals in context
Extraction complete10:42
Queue to review10:39
Relationship found10:35
Keep extraction moving
Follow BetishOps tasks without administering SAP jobs.
Service observationComplete
Daily consolidationIn progress
Observation historyScheduled
Every indicator keeps its context
Zero is not the same as unknown. Coverage is part of the data.
Observed events18
Services to review2
Data not receivedUnknown
Connect signals, keep the evidence
Timing can guide an investigation; it does not prove a cause.
Fact: a growing queue10:39
Context: same serviceShared
Hypothesis to investigateUnconfirmed
Ask with context
Which evidence should we review first?
In this example, a queue needs review and coverage is partial. Compare its evolution and check the missing data before suggesting a cause.
Illustrative tour with sample data. Not connected to SAP systems.
Select a side option to explore the experience.
SAP read-onlyObserve without modifying
Context that stays connectedFrom data to investigation
Evidence-led intelligenceFacts before assumptions
A connected view
Fewer isolated signals.
More context for decisions.
Correlation
Explore facts, relationships and shared timelines to investigate operations without mistaking coincidence for causation.
Explore capabilityAda & intelligence
Move from scattered information to analysis that separates facts, hypotheses and missing data. Ada assists; evidence leads.
Explore capabilityFrom source to analysis
A workflow that keeps the evidence.
Each step adds context to the next, without turning a hypothesis into a fact.
Observe
Collect authorized information without modifying SAP.
Preserve
Organize observations by time, coverage and source.
Connect
Explore relationships between signals in the same context.
Understand
Investigate with indicators, timelines and Ada’s assistance.
The BetishOps experience
Observe. Connect. Understand.
From observation to understanding
Extraction, reliable snapshots, correlation and Ada in an evidence-led workflow.
Read the transcript
BetishOps turns SAP signals into operational evidence. It extracts information from SAP S/4HANA and SAP BTP services through controlled, read-only processes. BetishOps-native Jobs coordinate snapshots and historical extractions, maintain reliable snapshots and prevent duplicate reads. BetishOps correlates events across services and organizes facts, evidence and impact into a common case. Indicators help explain what is happening, while Ada adds contextual assistance over authorized information. BetishOps: extract, monitor, correlate and analyze, without modifying SAP.
Evidence first
A clearer view of your operations.
See how observations become useful context, without overstating what the evidence proves.
Illustrative visuals with sample data. No customer systems are connected.
Explore the platformContinuity and visibility
Operations cannot be reduced to a single number.
BetishOps Jobs
Coordinate BetishOps extraction tasks, follow their progress and keep visibility into each execution.
Explore capabilityIndicators
Understand each measure alongside its source, period and coverage. A number alone does not tell the whole story.
Explore capabilitySAP & BTP
Bring together observations from SAP S/4HANA and SAP BTP services within an agreed scope. SAP remains read-only.
Explore capabilityClear expectations
What matters, clearly.
Does BetishOps modify SAP?
No. SAP observation remains read-only. Extraction tasks belong to BetishOps; they do not create, cancel or modify SAP jobs.
Does correlation confirm a root cause?
Not on its own. It brings facts, context and relationships together to support investigation. Hypotheses need to be checked against evidence.
Which systems and services can be observed?
Scope depends on the source, available interfaces and authorized permissions. A demonstration can help assess your use case and clarify coverage.
Are these views connected to my systems?
No. The public tour uses sample data to illustrate the experience. It does not request credentials or connect to SAP.
Start your next investigation with more context.
Let’s discuss your SAP landscape and the scope you need to observe.