Proactive Data Quality Assurance

Prevent data issues with smart monitoring, alerts, and automated remediation.

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Shift from reactive firefighting to proactive Data Quality management

Our AI-powered monitoring continuously safeguards your data quality by detecting anomalies, missing values, duplicates, and business rule violations in real-time. Rather than discovering data issues after they've caused problems, you get instant alerts and automated remediation capabilities that maintain data reliability at scale. This proactive approach ensures your analytics, AI models, and business operations always run on trusted, accurate data while reducing the manual effort required for quality management.

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Key Features of Our Data Quality Assurance solution

Move from reactive data management to proactive data quality assurance. Tale of Data’s observability solution automates monitoring, anomaly detection, and drift analysis helping you scale trust across your data landscape.

Custom Monitoring & Alerts

Define your own alert rules to trigger real-time notifications when anomalies or threshold breaches occur. Configure alerts from plug-and-play to fully customized logic.

Real-time anomaly alerts

Get notified instantly when data scans detect issues based on your pre-defined rules and business thresholds. These automated alerts allow you to react quickly to data quality problems before they propagate across systems.

Anomaly & Nature History

Access a complete audit trail of anomalies and data natures over time. Visualize how issues evolve and when they were first detected.

Automatic Report Generation

Export detailed quality reports in PDF or Excel format to share insights, track progress, and support audits or compliance reviews.

Flash Quality Audit

Generate a detailed Microsoft Word report in just a few clicks to instantly assess data quality scores and critical issues across your datasets. This flash audit provides high-level results, automatic recommendations on actions to take, and a complete summary of where the data could be improved.

Customisable Data Quality KPIs

Define and track your own Data Quality KPIs based on business expectations, technical thresholds, or regulatory requirements. Measure accuracy, completeness, uniqueness, timeliness, and other dimensions across all datasets, and visualize your results directly in the platform.

Business Rules

Design business logic visually to validate your datasets against specific expectations. Whether you’re checking for price ranges, null values, or format mismatches, Tale of Data lets you build robust rules that adapt to your operational reality.

Data Deduplication

Detect and merge duplicate entries across datasets using fuzzy logic and phonetic matching. Whether it’s customer records, supplier names, or product catalogs, Tale of Data streamlines the consolidation of your assets.

Data Remediation

Tale of Data offers advanced remediation tools powered by AI to help you clean your datasets even in the most complex situations. Whether you're dealing with inconsistent date formats, missing values, or mangled strings, our platform detects, suggests, and applies corrections without writing a single line of code. Each issue is clearly surfaced with actionable suggestions so you can resolve it directly within the interface, at scale or row by row.

Product Benefits

Customers

Don't just take our word for it

Read what our customers say about us.

"The solution allows us to detect duplicate products, identify data quality issues, and make corrections—in short, to establish true data governance."
Manutan
Mbery Ngom
Data Quality Analyst at Manutan
"We spend less time ensuring our data is of good quality because we have a tool that helps us do it automatically. We can even schedule it."
TotalEnergies
Benoît Soleilhavoup
Data Engineer One Tech at TotalEnergies
“It's becoming crucial for all data platform solutions to be augmented. This includes a co-pilot logic—helping the user with auto-completion, avoiding mistakes when copying data, providing relevant alerts. There’s also a strong expectation around automating data management processes with Tale of Data. Monitoring and predictive capabilities are highly anticipated.”
100599
Frédéric Robert
Director of Consulting – Data Advisory Business Line at Apgar

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