Delivering a Continuous Enterprise Data Pipeline

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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.
Key learnings:

• 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 and hard work, there are no easy solutions
• Data quality issues, data debt, are best addressed at the source
• This isn’t a project, although it still requires management and governance

About the speaker:
Scott helps people and teams adopt new ways of working (WoW) and evolve their ways of thinking (WoT), particularly around data warehousing and data quality. He is the creator of the Agile Modeling (AM) (AgileModeling.com) method and Agile Data (AD) (AgileData.org) methods. With Mark Lines he co-created PMI's Disciplined Agile (DA) tool kit. As a conference keynote speaker, Scott speak about continuous data warehousing (DW)/business intelligence (BI), how to address enterprise data debt, how to succeed at corporate AI, and agile architecture. He has also (co-)authored several books, including Choose Your WoW!, An Executive's Guide to Disciplined Agile, Refactoring Databases, and Agile Modeling. For a full list of Scott's books visit scottambler.com/my-books/.