Session: How to build data quality as a product

With dozens of new data sources and a drive to experiment with data, many data engineers and data product managers are tackling data quality issues on a daily basis.

In this talk, Clearbit’s data product manager, Ale Cabrera, and Telmai’s CEO/Co-Founder, Mona Rakibe, will talk about how to solve this universal problem with a new, pragmatic approach.

In treating data quality as a first-class citizen and applying the same rigor and principles as any other product, Clearbit has been able to scale the data engineering and data science teams and accelerate product time to market - a best practice that you can learn from.

In this talk, you will learn how to:

  • Treat any data quality issue or feature enhancement as a product
  • Define requirements and prioritize engineering work
  • Build a strategy for proper design, engineering, testing, and user adoption
  • Create data quality health KPIs based to measure the success of your work

Alejandra Cabrera

Data Product Manager


Mona Rakibe

Co-Founder & CEO


What is the cost to attend and watch the virtual sessions?

Data Team Summit is always free and open for all to attend.

What is Data Teams Summit?

This year, we've taken the peer-to-peer empowerment of data teams one step further and formally transformed DataOps Unleashed into Data Teams Summit to better reflect our focus on the teams and individuals running, managing, and monitoring data pipelines.

Data Teams Summit is an annual, full-day virtual conference, led by data rockstars at future-forward organizations about how they're establishing predictability, increasing reliability, and creating economic efficiencies with their data pipelines.

We'll be back again in 2024 and look forward to another round of data team focused conversations.

Who comes to Data Teams Summit?

Data professionals and experts including data engineers, administrators, architects, analysts, AI/ML professionals, and relevant data technology leadership.

Join us for sessions on:

  • Data teams & best practices
  • Data pipelines & applications
  • DataOps observability
  • Data quality & data governance
  • Operations observability
  • MLOps
  • Data modernization & architecture
  • Biz/FinOps observability

Interested in speaking at Data Teams Summit 2024?

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