Before/After with KPIs
talk-data.com
Speaker
Pete Williams
19
talks
Pete Williams is a highly experienced data professional with a strong background in data engineering and analytics. With extensive experience in the tech industry, he has led numerous projects focused on data observability and optimization. Currently serving as a CDO at Penguin Random House, Pete is passionate about leveraging data to drive business insights and innovation. His expertise includes building scalable data pipelines, implementing advanced analytics solutions, and ensuring data quality and reliability.
Bio from: How To Build Your Data MVP
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19 activities · Newest first
Business Value Assessment (ROI Analysis)
Configure & Map your CDC Deltas
Creating A Roadmap / Dissemination Plan
Data MVP: Tools, Methods & Skills Needed
Data Transformation Requirements / Validation
Establishing Your Internal "Squad"
Extracting, Loading and Validating Data
How to Extract Sample Data with Scripts
Preparing for Sucess and Failure
Real-Time Data Visualisation
Technical Conclusions
Testing, Debugging, Iterating.
Understand Data Extraction Requirements
Understanding Medallion Architectures
What business outcomes should you establish?
What is the true cost of not operationalising data?
Why is real-time analytics so hard with ERP data?
In this talk, Pete from Penguin Random House will introduce his 3 E's theory, highlighting the critical steps of Establishing a data structure, Enabling teams, and Exploiting results for optimal impact. He'll delve into how trust in both data and process, underpinned by data observability, is essential for transforming data skepticism into meaningful collaboration.