Why you should attend the webinar

Enterprises are rapidly increasing the time and money they spend to address poor data quality. Forrester reports that data teams spend 40% of their time fixing data quality issues, and Gartner estimates that companies waste almost $13M annually on poor data quality. 

Data Observability solves large scale, complex data problems by giving data teams comprehensive insights into their enterprise data stacks, enabling them to improve data and pipeline reliability, platform performance, and spend efficiency. 

Join John Morrell, Sr. Dir. Product Marketing and Chris Cozzi, Dir, Product Management on April 11, 10am PT/1pm ET as they review how data observability delivers business value at scale in three key areas: 

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Spend Intelligence: Control and optimize your cloud data warehouse spend with usage guardrails, automated health checks, chargeback and budgeting, automated shut offs of anomalous queries and more 

Data Reliability:  Get end-to-end visibility into your pipeline and lineage, debug data delays at their root, and leverage automated data policies to scale data quality with no code options

Operational Intelligence: Prevent data outages, leverage automated actions to remediate issues, leverage recommendations for optimizing resource allocation and performance tuning

What’s New in the Acceldata Data Observability Platform?


Chris Cozzi
Dir, Product Management 

Apr 11, 2023

10am PT / 1pm ET

John Morrell
Sr. Dir Product Marketing

About Acceldata

Founded in 2018, Campbell, CA-based Acceldata has developed the world's first enterprise Data Observability Cloud to help enterprises build and operate great data products. Acceldata's solutions have been embraced by global customers, such as Oracle, HCSC, PhonePe (Walmart), 
Dun & Bradstreet, and many more. Acceldata investors include Insight Partners, March Capital, Lightspeed, Sorenson Ventures, and Emergent Ventures. Contact us to learn about the benefits of data observability.

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Learn how the Acceldata Data Observability Platform can help you improve all aspects of your data operations.