Clean your customer databases automatically with Swiftask and DaData.ru
Swiftask connects your databases to DaData.ru to normalize, correct, and enrich your customer information in real time.
Result:
Eliminate input errors and duplicates. Ensure data reliability for high-performing marketing campaigns.
AI Agents
dadata.ru
Connector dadata.ru · Secure OAuth 2.0
Databases polluted by manual input errors
Poor data quality is a major hurdle for any business. Incomplete addresses, incorrect phone number formats, misspelled names: these errors accumulate and hinder the efficiency of your daily operations.
Main negative impacts:
High operational costs
Processing erroneous data requires valuable human time. Manual correction is costly and prone to further errors.
Marketing impact
Corrupted mailing lists lead to high bounce rates, poor email deliverability, and degraded brand reputation.
Decisions based on false data
It is impossible to analyze your business correctly if your customer data is fragmented or inconsistent due to uncontrolled input.
Swiftask automates data cleanup via the DaData.ru API. Each new entry or update is instantly verified and normalized according to official standards.
BEFORE / AFTER
What changes with Swiftask
Without Swiftask
Your teams enter data manually into your CRM. Without controls, typos multiply. Managers spend hours merging duplicates and correcting invalid postal addresses.
With Swiftask + DaData.ru
As soon as data is entered, the Swiftask agent sends it to DaData.ru for validation. Data is corrected, completed, and normalized before being saved in your database. Your CRM stays clean, automatically.
Clean your data in 4 simple steps
1
STEP 1 : Create your cleanup agent
Set up an agent in Swiftask dedicated to monitoring your incoming data streams.
2
STEP 2 : Connect DaData.ru
Integrate your DaData.ru credentials into Swiftask to access name, address, and phone normalization services.
3
STEP 3 : Define your validation rules
Choose the fields to normalize (e.g., postal address, phone format) and the required confidence threshold.
4
STEP 4 : Automate the workflow
Activate the agent to process data in real time or via scheduled batches.
Advanced normalization capabilities
The agent analyzes each data point to identify structural inconsistencies, spelling mistakes, or missing information.
- Target connector: The agent performs the right actions in dadata.ru based on event context.
- Automated actions: Normalization of Russian postal addresses, validation and correction of phone numbers, standardization of full names (FIO), company data enrichment via INN.
- Native governance: Swiftask provides a full log of all corrections performed for complete transparency.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-dadata.ru@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.
Why choose this automation?
Always up-to-date data
Your customer information is corrected the moment it enters your system.
Increased productivity
Free your teams from tedious manual data entry and correction tasks.
Decision-making reliability
Make decisions based on a clean, unified, and reliable database.
Simplified compliance
Standardized data facilitates compliance with regulatory and reporting requirements.
Seamless integration
Swiftask adapts to your tech stack without requiring a revamp of your infrastructure.
Guaranteed data security
Swiftask applies enterprise-grade security standards for your dadata.ru automations.
- Encrypted exchanges: All communications between Swiftask and DaData.ru are encrypted.
- Access management: Control exactly who can configure cleanup rules within your organization.
- Action traceability: Detailed history of every modification performed by the AI agent.
- Privacy focus: Secure processing compliant with the strictest data protection requirements.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
Impact on your performance
| Metric | Before | After |
|---|---|---|
| Input error rate | 15-20% | Less than 1% |
| Data management time | 8h/week | 0h (automated) |
| Database quality | Fragmented | Unified and normalized |
| Processing time | Delayed | Real-time |
Take action with dadata.ru
Eliminate input errors and duplicates. Ensure data reliability for high-performing marketing campaigns.