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What is Data Quality? Why It’s More Than Just Technical Accuracy and How to Measure It

Learn what data quality means, why it matters for business decisions, and how to measure and improve it. Discover the difference between technical and business quality dimensions, plus modern observability solutions.

Sifflet’s AI Helps Us Focus on What Moves the Business

What impressed us most about Sifflet’s AI-native approach is how seamlessly it adapts to our data landscape — without needing constant tuning. The system learns patterns across our workflows and flags what matters, not just what’s noisy. It’s made our team faster and more focused, especially as we scale analytics across the business.

Simoh-Mohamed Labdoui
Head of Data

"Enabler of Cross Platform Data Storytelling"

"Sifflet has been a game-changer for our organization, providing full visibility of data lineage across multiple repositories and platforms. The ability to connect to various data sources ensures observability regardless of the platform, and the clean, intuitive UI makes setup effortless, even when uploading dbt manifest files via the API. Their documentation is concise and easy to follow, and their team's communication has been outstanding—quickly addressing issues, keeping us informed, and incorporating feedback. "

Callum O'Connor
Senior Analytics Engineer, The Adaptavist

"Building Harmony Between Data and Business With Sifflet"

"Sifflet serves as our key enabler in fostering a harmonious relationship with business teams. By proactively identifying and addressing potential issues before they escalate, we can shift the focus of our interactions from troubleshooting to driving meaningful value. This approach not only enhances collaboration but also ensures that our efforts are aligned with creating impactful outcomes for the organization."

Sophie Gallay
Data & Analytics Director, Etam

" Sifflet empowers our teams through Centralized Data Visibility"

"Having the visibility of our DBT transformations combined with full end-to-end data lineage in one central place in Sifflet is so powerful for giving our data teams confidence in our data, helping to diagnose data quality issues and unlocking an effective data mesh for us at BBC Studios"

Ross Gaskell
Software engineering manager, BBC Studios

"Sifflet allows us to find and trust our data"

"Sifflet has transformed our data observability management at Carrefour Links. Thanks to Sifflet's proactive monitoring, we can identify and resolve potential issues before they impact our operations. Additionally, the simplified access to data enables our teams to collaborate more effectively."

Mehdi Labassi
CTO, Carrefour Links

"A core component of our data strategy and transformation"

"Using Sifflet has helped us move much more quickly because we no longer experience the pain of constantly going back and fixing issues two, three, or four times."

Sami Rahman
Director of Data, Hypebeast

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Make Data %%Observability%% Everyone’s Business

Sifflet is an AI-augmented data observability platform built for data teams with business users in mind.

What Our Customers Say
August 7, 2025

Big Step Forward for Our Governance Maturity

Julien  L.
August 6, 2025

Keeps Our Team Aligned and Alert

Camille M.
August 5, 2025

Makes Governance Feel Less Boring

Maxime H.
August 4, 2025

I Don’t Have to Babysit Our Pipelines Anymore

Marion H.
August 1, 2025

Very Useful but Not Plug and Play

Mathieu H.
July 29, 2025

Solid Tool, Still Growing

Mohibullah H.
June 30, 2025

Powerful Data Observability for Modern Data Teams

Anonymous
June 5, 2025

From traditional data quality to agile data oservability

Anonymous
June 5, 2025

Sifflet for BigQuery Cataloguing

Anonymous
October 29, 2024

A useful tool for the modern data stack

Anonymous
October 29, 2024

Sifflet is a game changer for data observability!

Bolade F.
September 16, 2024

My Sifflet Story

Yashwanth T.
September 11, 2024

Very useful tool for Data Management

Adrian R.
September 11, 2024

A friendy user interface that could become more friendly with some improvements

Anonymous
September 10, 2024

Sifflet features

Anonymous
September 10, 2024

Using Sifflet as Analytics Engineer after several month

Akim v.
September 10, 2024

Useful in spotting problems and setting multiple monitors

Rodrigo S.
May 23, 2024

Sifflet

Anonymous
May 22, 2024

Un outil de data observability avec beaucoup d'avenir

Mezzour I.
May 14, 2024

Excellent Data Quality Took

Siddarth K.
April 30, 2024

Very helpful features and proactive team

Clément G.
April 30, 2024

Game changing for Cross Tool Visibility

James M.
April 30, 2024

Intuitive data observability platform suitable across a business

Anonymous
April 26, 2024

An ergonomic tool that responds perfectly to the business and technical challenges of data quality

Abelia P.
April 25, 2024

A powerful data monitoring tool

Anonymous
April 15, 2024

one Year of Enhanced Data Quality and Literacy with Sifflet

Anonymous
April 14, 2024

Data quality game changer

Sriharsha G.
April 12, 2024

A core component of our Data Strategy and Transformation

Sami R.

See Sifflet in action!

Curious about how Sifflet can transform the way your team works with data?

Join our 30-min biweekly demo to see how data leaders, engineers, and platform teams use Sifflet to detect, resolve, and prevent issues—before they impact the business.

See Data Breakthroughs

Sifflet helps you remove the obstacles that stand in the way of superior insights, value, and products from data.

Customize to Your Heart’s Content

Sifflet offers both a robust library of out of the box monitors and customization capability. Your teams decide what needs monitoring and how to set it up.

Customize to Your Heart’s Content

Sifflet offers both a robust library of out of the box monitors and customization capability. Your teams decide what needs monitoring and how to set it up.

Customize to Your Heart’s Content

Sifflet offers both a robust library of out of the box monitors and customization capability. Your teams decide what needs monitoring and how to set it up.

Sifflet’s AI Helps Us Focus on What Moves the Business

What impressed us most about Sifflet’s AI-native approach is how seamlessly it adapts to our data landscape — without needing constant tuning. The system learns patterns across our workflows and flags what matters, not just what’s noisy. It’s made our team faster and more focused, especially as we scale analytics across the business.

Simoh-Mohamed Labdoui
Head of Data

"Enabler of Cross Platform Data Storytelling"

"Sifflet has been a game-changer for our organization, providing full visibility of data lineage across multiple repositories and platforms. The ability to connect to various data sources ensures observability regardless of the platform, and the clean, intuitive UI makes setup effortless, even when uploading dbt manifest files via the API. Their documentation is concise and easy to follow, and their team's communication has been outstanding—quickly addressing issues, keeping us informed, and incorporating feedback. "

Callum O'Connor
Senior Analytics Engineer, The Adaptavist

"Building Harmony Between Data and Business With Sifflet"

"Sifflet serves as our key enabler in fostering a harmonious relationship with business teams. By proactively identifying and addressing potential issues before they escalate, we can shift the focus of our interactions from troubleshooting to driving meaningful value. This approach not only enhances collaboration but also ensures that our efforts are aligned with creating impactful outcomes for the organization."

Sophie Gallay
Data & Analytics Director, Etam

" Sifflet empowers our teams through Centralized Data Visibility"

"Having the visibility of our DBT transformations combined with full end-to-end data lineage in one central place in Sifflet is so powerful for giving our data teams confidence in our data, helping to diagnose data quality issues and unlocking an effective data mesh for us at BBC Studios"

Ross Gaskell
Software engineering manager, BBC Studios

"Sifflet allows us to find and trust our data"

"Sifflet has transformed our data observability management at Carrefour Links. Thanks to Sifflet's proactive monitoring, we can identify and resolve potential issues before they impact our operations. Additionally, the simplified access to data enables our teams to collaborate more effectively."

Mehdi Labassi
CTO, Carrefour Links

"A core component of our data strategy and transformation"

"Using Sifflet has helped us move much more quickly because we no longer experience the pain of constantly going back and fixing issues two, three, or four times."

Sami Rahman
Director of Data, Hypebeast
Still have a question in mind ?
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Frequently asked questions

How does the Sifflet and Firebolt integration improve data observability?
Great question! By integrating with Firebolt, Sifflet enhances your data observability by offering real-time metrics, end-to-end lineage, and automated anomaly detection. This means you can monitor your Firebolt data warehouse with precision and catch data quality issues before they impact the business.
Who are some of the companies using Sifflet’s observability tools?
We're proud to work with amazing organizations like St-Gobain, Penguin Random House, and Euronext. These enterprises rely on Sifflet for cloud data observability, data lineage tracking, and proactive monitoring to ensure their data is always AI-ready and analytics-friendly.
Why is data reliability so critical for AI and machine learning systems?
Great question! AI and ML systems rely on massive volumes of data to make decisions, and any flaw in that data gets amplified at scale. Data reliability ensures that your models are trained and operate on accurate, complete, and timely data. Without it, you risk cascading failures, poor predictions, and even regulatory issues. That’s why data observability is essential to proactively monitor and maintain reliability across your pipelines.
What role does technology play in supporting data team well-being?
The right technology can make a big difference. Adopting observability tools that offer features like data lineage tracking, data freshness checks, and pipeline health dashboards can reduce manual firefighting and help your team work more autonomously. This not only improves productivity but also makes day-to-day work more enjoyable.
How does data observability differ from traditional data quality monitoring?
Great question! While data quality monitoring focuses on detecting when data doesn't meet expected thresholds, data observability goes further. It continuously collects signals like metrics, metadata, and lineage to provide context and root cause analysis when issues arise. Essentially, observability helps you not only detect anomalies but also understand and fix them faster, making it a more proactive and scalable approach.
How is Etam using data observability to support its 2025 strategy?
Etam is leveraging data observability as a foundational element of its 2025 data strategy. With Sifflet’s observability platform, the team can monitor data quality, detect issues early, and ensure data reliability, which helps them move faster and with more confidence across the business.
Why is combining data catalogs with data observability tools the future of data management?
Combining data catalogs with data observability tools creates a holistic approach to managing data assets. While catalogs help users discover and understand data, observability tools ensure that data is accurate, timely, and reliable. This integration supports better decision-making, improves data reliability, and strengthens overall data governance.
How does SQL Table Tracer support different SQL dialects for data lineage tracking?
SQL Table Tracer uses Antlr4 and a unified grammar with semantic predicates to support multiple SQL dialects like Snowflake, Redshift, and PostgreSQL. This ensures accurate data lineage tracking across diverse systems without needing separate parsers for each dialect.

More data. %%Less Chaos.%%

If you want a smoother running stack,
let’s talk about what Sifflet can do for you. 

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