Tarification

Make your analytics reliable with automated data preparation

Swiftask connects your data streams to Interzoid to clean and standardize information upstream. Get accurate insights from clean data.

Resultat:

Eliminate biases caused by faulty data. Make decisions based on a single, coherent source of truth.

Raw data that undermines your decision-making

The value of your analytics tools depends directly on the quality of your incoming data. Disparate formats, duplicates, and entry errors prevent reliable analysis. Without proper preparation, your teams waste valuable time correcting errors before they can even begin analyzing.

Les principaux impacts négatifs :

Inconsistent insights: Non-normalized data prevents correct information grouping, leading to fragmented and misleading reports.
High correction costs: Manual database cleaning is a time-consuming task that diverts your analysts from high-value missions.
Decision risk: Basing business strategy on corrupted data increases the risk of misinterpretation and poor investments.

Swiftask integrates Interzoid to automate the cleaning and normalization of your data. Each incoming data point is processed instantly, ensuring a healthy foundation for your analytics tools.

AVANT / APRÈS

Ce qui change avec Swiftask

Managing data without Swiftask

You export data, try to correct formats manually via spreadsheets, and import everything into your analytics tools. The process is slow, error-prone, and impossible to maintain at scale.

Preparation flow with Interzoid

Your data flows through Swiftask and Interzoid as soon as it arrives. It is automatically cleaned, normalized, and enriched. Your analytics tools receive ready-to-use data in real time.

Optimize your data flows in 4 key steps

ÉTAPE 1 : Define your cleaning rules

Configure in Swiftask the data types requiring normalization via Interzoid APIs (addresses, names, contact formats).

ÉTAPE 2 : Connect your data sources

Link your CRMs, forms, or databases to Swiftask to centralize the input flow.

ÉTAPE 3 : Automate processing

Swiftask sends data to Interzoid. Cleaning happens without intervention, ensuring immediate consistency.

ÉTAPE 4 : Sync to your analytics tools

Cleaned data is automatically pushed to your BI platform (PowerBI, Tableau, etc.).

Advanced preparation features

Swiftask orchestrates intelligent processing: format identification, duplicate detection, and application of Interzoid data standards.

Connecteur cible : L'agent exécute les bonnes actions dans interzoid selon le contexte de l'événement.
Actions automatisées : Postal address normalization. Company name standardization. Automatic deduplication. Data enrichment. Intelligent routing of cleaned data to your BI tools.
Gouvernance native : The Swiftask dashboard allows you to monitor the volume of processed data and the cleaning success rate.

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.

Benefits for your data strategy

1. Guaranteed data quality

Ensure perfect consistency of your information before any complex analysis.

2. Productivity gains

Eliminate manual data cleaning tasks for your data teams.

3. Reduced time-to-insight

Go from raw data to decision-making analysis in seconds.

4. Scalability

Handle growing data volumes without increasing your analysts' workload.

5. Enhanced compliance

Standardized data facilitates adherence to governance and privacy policies.

Security and data integrity

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

Secure processing: Exchanges between Swiftask and Interzoid are encrypted and follow strict security protocols.
Data governance: You keep full control over the cleaning rules applied to your datasets.
Full audit trail: Every transformation operation is logged for transparent auditing.

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

RÉSULTATS

Impact on your operational performance

Métrique	Avant	Après
Preparation time	Several hours/days	Real-time processing
Error rate	High (manual entry)	Close to 0%
Report reliability	Low (disparate data)	Maximum (unified sources)

Passez à l'action avec interzoid

Eliminate biases caused by faulty data. Make decisions based on a single, coherent source of truth.