At Sifflet,
Data Means Business.
Data drives every strategic decision, guides innovation, and powers transformation. But how do companies ensure their data is reliable? How can they trust the insights that guide critical business choices? How do they turn raw information into actionable intelligence, high-performing products, and superior strategies? Enter Sifflet.
Who We Are
We are a data observability platform.
We offer end-to-end oversight into the entire data stack, helping teams to uncover, prevent and overcome the technical and organizational obstacles that get in the way of better quality, more reliable data.
Our Mission
We help companies see data breakthroughs. Sifflet delivers smoother running data stacks by providing detailed oversight and solutions that reduce data breaks, improve team alignment and operations, and build confidence in the numbers. The result? Superior insights, value and products from data.
Meet our Executive team
Sifflet was built by a data-obsessed team for
data-obsessed teams.
Salma Bakouk, Co-founder and CEO of Sifflet, combines expertise in data pipelines and analytics with leadership honed as an Executive Director at Goldman Sachs. Salma is dedicated to building trust in data for her clients and advancing Sifflet’s position in the industry.
Wissem Fathallah, Co-founder and CPO of Sifflet, is a seasoned tech executive with a background in computer science from Centrale Paris. He has led high-impact engineering teams and built scalable data solutions at companies like Uber and Amazon. Wissem is passionate about new technologies, data and AI infrastructure, driving Sifflet’s mission to deliver reliable and actionable data insights.
Wajdi Fathallah, Co-founder and CTO of Sifflet, is a data and technology leader with a background in data science and a focus on scaling innovative solutions. He has held key roles at companies like Dashlane, SNCF, and Crédit Agricole, driving machine learning initiatives and revenue growth. Wajdi is committed to helping businesses unlock the full potential of their data through observability and operational excellence.
Join Our Team
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Frequently asked questions
What can I expect from Sifflet’s upcoming webinar?
Join us on January 22nd for a deep dive into Sifflet’s 2024 highlights and a preview of what’s ahead in 2025. We’ll cover innovations in data observability, including real-time metrics, faster incident resolution, and the upcoming Sifflet AI Agent. It’s the perfect way to kick off the year with fresh insights and inspiration!
What kind of visibility does a data observability platform provide?
A robust data observability platform like Sifflet gives you end-to-end visibility into your data ecosystem. This includes data freshness checks, schema changes, lineage tracking, and anomaly detection. It's like having a complete map of your data journey, helping you proactively manage quality and trust in your analytics.
What are some common data quality issues that can be prevented with the right tools?
Common issues like schema changes, missing values, and data drift can all be caught early with effective data quality monitoring. Tools that offer features like threshold-based alerts, data freshness checks, and pipeline health dashboards make it easier to prevent these problems before they affect downstream systems.
How does Sifflet support data pipeline monitoring at Carrefour?
Sifflet enables comprehensive data pipeline monitoring through features like monitoring-as-code and seamless integration with data lineage tracking and governance tools. This gives Carrefour full visibility into their pipeline health and helps ensure SLA compliance.
What tools can help me monitor data consistency between old and new environments?
You can use data profiling and anomaly detection tools to compare datasets before and after migration. These features are often built into modern data observability platforms and help you validate that nothing critical was lost or changed during the move.
What does Sifflet's recent $12.8M Series A funding mean for the future of data observability?
Great question! This funding round, led by EQT Ventures, allows us to double down on our mission to make data more reliable and trustworthy. With this investment, we're expanding our data observability platform, enhancing real-time monitoring capabilities, and growing our presence in EMEA and the US.
How do declared assets improve data quality monitoring?
Declared assets appear in your Data Catalog just like built-in assets, with full metadata and business context. This improves data quality monitoring by making it easier to track data lineage, perform data freshness checks, and ensure SLA compliance across your entire pipeline.
What non-quantifiable benefits can data observability bring to my organization?
Besides measurable improvements, data observability also boosts trust in data, enhances decision-making, and improves the overall satisfaction of your data team. When your team spends less time debugging and more time driving value, it fosters a healthier data culture and supports long-term business growth.
Still have questions?
Want to join the team?
We're seeking driven individuals eager to roll up their sleeves and help make data observability everyone's business.
Make Data Observability Everyone’s Business
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