Summary:
Some people claim that data is the new oil, but in practice, data is really the new water – without clean and sufficient data, your organization cannot thrive. Clean enterprise data is essential for informed decision-making, improved business processes, and the development and operation of more effective artificial intelligence (AI) solutions.
In this talk, Scott Ambler explores industry statistics on the impact of poor-quality data, the organizational implications of the “data is the new water” metaphor, describes a Disciplined Agile (DA)-based approach to building a continuous enterprise data pipeline, and argues for the need to fix corporate data at the source.
Takeaways:
- Leadership requires clean, continuous data for data-driven decision-making
- AI requires clean data for training, and clean continuous data for operation
- Building and operating a continuous data pipeline requires skill, hard work, and there are no easy solutions
- Data quality issues, data debt, are best addressed at the source
About the Speaker:
Scott Ambler is a Data Methodologist with Ambysoft Inc., leading the evolution of the Agile Data and Agile Modeling methods. Scott is an international keynote speaker, the (co-)author of 31 books, and a former Vice President at PMI. Scott’s latest book is Not Just Data: How to Deliver Continuous Enterprise Data.
