Tarification

Ensure cross-platform data reliability with Swiftask and Interzoid

Swiftask orchestrates the Interzoid agent to automatically clean, normalize, and deduplicate your customer databases across all your SaaS tools.

Resultat:

Eliminate entry errors and duplicates. Get a clean, unified view of your customer data.

Fragmented and dirty data slows down your growth

Your CRM, marketing, and support tools often contain inconsistent data. The same customer can appear with multiple names, address formats, or slightly different emails. Without cleaning, your analytics are skewed and your customer experience suffers.

Les principaux impacts négatifs :

Information inconsistency: Disparate formats across your tools prevent a 360-degree customer view and complicate reporting.
High operational costs: Manual database cleaning is time-consuming, error-prone, and requires significant technical resources.
Compliance risks: Poorly managed data increases risks related to data protection and business process quality.

Swiftask connects your tools to Interzoid to automate data cleaning. The agent identifies and corrects anomalies in real-time, ensuring clean data across your entire ecosystem.

AVANT / APRÈS

Ce qui change avec Swiftask

Manual data management

Your teams export CSV files, use complex Excel formulas to deduplicate, then re-import the files. The process is slow, repetitive, and data is obsolete by the next day.

Automation with Swiftask

As soon as new data enters your system, Swiftask automatically sends the request to Interzoid. Data is instantly normalized and updated across all connected tools without human intervention.

Automate your data hygiene in 4 steps

ÉTAPE 1 : Configure your agent in Swiftask

Create your workflow in Swiftask. Define the data sources to monitor for cleaning.

ÉTAPE 2 : Connect the Interzoid API

Integrate Interzoid as your processing tool. Configure the desired normalization and deduplication rules.

ÉTAPE 3 : Define triggers

Activate automatic cleaning upon new lead creation, account updates, or on a scheduled basis.

ÉTAPE 4 : Monitor quality

View cleaning reports and corrections made directly in your Swiftask dashboard.

Advanced cleaning capabilities

The agent analyzes data structure, detects entry variations, and applies normalization rules based on Interzoid standards.

Connecteur cible : L'agent exécute les bonnes actions dans interzoid selon le contexte de l'événement.
Actions automatisées : Name, address, and email normalization. Intelligent deduplication based on matching algorithms. Automatic CRM database updates. Alerts for critical anomalies.
Gouvernance native : The entire process is auditable, allowing you to track the evolution of your data quality.

Chaque action est contextualisée et exécutée automatiquement au bon moment.

Chaque agent Swiftask utilise une identité dédiée (ex. agent-interzoid@swiftask.ai ). Vous gardez une visibilité complète sur chaque action et chaque message envoyé.

À retenir : L'agent automatise les décisions répétitives et laisse à vos équipes les actions à forte valeur.

Strategic benefits for your business

1. Unified data

A single source of truth for your customer data, regardless of the tool used.

2. Productivity gains

Complete elimination of manual cleaning and entry tasks.

3. Better decision-making

Analytics based on reliable, clean, and up-to-date data.

4. Improved customer experience

Personalized and consistent communication thanks to flawless customer profiles.

5. Scalability

Maintain impeccable data quality even with exponential volume growth.

Security and data privacy

Swiftask applique des standards de sécurité enterprise pour vos automatisations interzoid.

Secure processing: Data is processed via encrypted connections between Swiftask and Interzoid.
Strict governance: You maintain full control over cleaning rules and data access.
GDPR compliance: The process adheres to current data protection standards.
Full logging: Every correction is tracked to ensure transparency of all changes made.

Pour aller plus loin sur la conformité, consultez la page gouvernance Swiftask et ses détails d'architecture de sécurité.

RÉSULTATS

Measurable impact on data quality

Métrique	Avant	Après
Cleaning time	Several days per month	Real-time (automated)
Entry error rate	High (manual entry)	Near zero (normalized)
Customer duplicates	Multiple	Eliminated
CRM reliability	Low	Optimal

Passez à l'action avec interzoid

Eliminate entry errors and duplicates. Get a clean, unified view of your customer data.

Fiabilisez vos analyses grâce à l'automatisation Interzoid

Cas d'usage suivant.