Sanitize your SAP Hana data with AI
Swiftask connects to SAP Hana to identify, normalize, and correct your data automatically. Ensure the integrity of your business information without manual intervention.
Result:
Eliminate entry errors and duplicates. Make reliable, data-driven decisions.
AI Agents
hana
Connector hana · Secure OAuth 2.0
Data corruption in SAP Hana hinders your performance
Inaccurate, duplicated, or unformatted data in SAP Hana leads to reporting errors and operational inefficiencies. Manual cleansing is an endless task that diverts your teams from high-value projects.
Main negative impacts:
Decisions based on flawed data
Poor data quality leads to biased analyses, directly impacting your company's strategy.
Inefficient manual cleansing processes
Processing via SQL scripts or Excel is time-consuming, prone to human error, and difficult to maintain.
Accumulated technical debt
Neglecting the cleanliness of your Hana databases creates technical debt that slows down future migrations and deployments.
Swiftask automates your Hana data cleansing. The AI detects anomalies, applies your normalization rules, and corrects entries in real time, ensuring a clean and actionable database.
BEFORE / AFTER
What changes with Swiftask
Without Swiftask
Your IT team periodically runs complex cleaning scripts. Errors detected late require tedious manual corrections. The cleaning cycle is long, expensive, and does not guarantee optimal quality in the long run.
With Swiftask + SAP Hana
Swiftask monitors your Hana tables continuously. As soon as an inconsistency is detected, the AI agent automatically applies the defined corrections. Your data stays clean effortlessly, freeing up your IT team.
Optimize your Hana data in 4 key steps
1
STEP 1 : Define your quality rules
Configure within Swiftask the formatting standards and validation rules specific to your organization.
2
STEP 2 : Connect Swiftask to SAP Hana
Establish a secure connection between Swiftask and your Hana instance for controlled read and write operations.
3
STEP 3 : Configure the cleansing agent
Enable AI analysis capabilities to identify duplicates, missing values, and incorrect formats.
4
STEP 4 : Automate the lifecycle
Run the agent in continuous or scheduled mode. Track corrections made from the supervision dashboard.
Intelligent cleansing capabilities
The agent analyzes data schemas, identifies recurring error patterns, and compares entries against your master data repositories.
- Target connector: The agent performs the right actions in hana based on event context.
- Automated actions: Automatic address and format normalization. Intelligent duplicate detection and merging. Business compliance validation. Missing data enrichment. Detailed audit reports.
- Native governance: All changes are logged in Swiftask for complete compliance with your governance policies.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-hana@swiftask.ai ). You keep full visibility on every action and every sent message.
Key takeaway: The agent automates repetitive decisions and leaves high-value actions to your teams.
Benefits for your data governance
Increased reliability
Your reports and dashboards rely on systematically cleaned and validated data.
Maximum productivity
Eliminate repetitive manual cleansing work and let AI handle common anomalies.
Assured compliance
Maintain your data in compliance with internal standards and external regulations through a full audit trail.
Business agility
Modify your cleansing rules in a few clicks in Swiftask without having to rewrite complex scripts.
System performance
Clean data optimizes query and storage performance for your SAP Hana instance.
Data security and integrity
Swiftask applies enterprise-grade security standards for your hana automations.
- Encrypted connection: Communication between Swiftask and SAP Hana is secured using industry-standard protocols.
- Granular access control: Precisely manage the agent's access rights to Hana tables to prevent unauthorized modifications.
- Full traceability: Every correction is logged to ensure complete transparency regarding changes made.
- Environment isolation: Test your cleansing rules in a sandbox environment before deploying them to your production database.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
Impact on your data metrics
| Metric | Before | After |
|---|---|---|
| Cleansing time | Several days per month | Automated in real time |
| Error rate | High (manual entry) | Close to 0% (standardized) |
| Operational cost | Expensive in IT resources | Drastic cost reduction |
| Correction delay | Batch-deferred | Instant |
Take action with hana
Eliminate entry errors and duplicates. Make reliable, data-driven decisions.