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Data Observability

AI-powered Data Observability Tool for Data Quality Monitoring

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Dashboard monitoring data freshness, drift, anomalies and quality KPIs with Tale of Data

Prevent data Quality issues with Tale of Data’s plug-and-play Data Observability tool

Tale of Data focuses on Data Content Observability, a key pillar of Gartner’s Data Observability framework. Our platform monitors the quality of your data at the content level, detecting anomalies, missing values, duplicates, and violations of business rules across all sources, in real time.

By continuously scanning your data, Tale of Data ensures proactive detection of unexpected changes in Data Quality key indicators. You get instant visibility into your data’s reliability, freshness, accuracy, and completeness through dynamic dashboards and customizable alerts.

Whether you’re securing data pipelines, complying with regulations like GDPR, or maintaining trusted datasets for analytics and AI, our observability tool helps you stay in control before data issues impact operations.

Data observability report showing anomaly statistics and field-level quality scores

Key Features of Our Data Observability 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.

Mass Data Discovery

Continuously scan your datasets to detect anomalies, assess quality metrics, and track changes over time at scale.

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.

Semantic mapping

Map data fields with business definitions to ensure semantic consistency across systems and facilitate metadata governance.

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.

Sensitive and GDPR-specific monitoring

Automatically locate, quantify, and monitor sensitive and GDPR-related data to ensure regulatory compliance and risk management.

Data Quality Metrics

Analyze completeness, accuracy, and uniqueness through granular metrics to benchmark and improve your data quality over time.

Data Quality Metrics

Automatic Report Generation

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

Custom Analysis Workflows

Build visual workflows to isolate data issues, run specific anomaly checks, or aggregate signals into higher-level indicators for decision-making.

Product Benefits

Integrate

Seamless integration of AI and No-Code technology for effective data refinement.

Integrate

Collaboration

Collaborate across teams to ensure comprehensive data quality.
Collaboration

Shareable

Move beyond data transformation scripts for a readable and shareable project.
Shareable

Visualize

Transition from the "black box" of scripts to an intuitive and documented visualization of all your data transformations.
Visualize

Powerful

Leverage powerful dashboards to simplify analysis and drive continuous improvement.
Powerful

Quality

Achieve superior data quality faster and at a lower cost, while demonstrating the tangible value of investing in data excellence.

Quality

Intuition

Gain a complete and intuitive visual representation of the data journey, from raw data to finalized data products.
Intuition

Organized

Align your organization with data quality initiatives.
Organized

Aligned

Effortlessly align your business with evolving regulatory requirements.
Aligned
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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