It is often not intuitive to use agile and lean startup thinking in the world of big data and analytics. You can feel far removed from users and customers and your products often have to enable people to answer open-ended questions to help solve complex business problems. Often you are the engine room of very large enterprises. We will discuss techniques and practices that we can use to stay agile under these conditions.
Please note, this talk focuses more on ways of working than technical aspects.
Target Audience: People in data-centric teams (warehousing, BI, analytics) or anyone with an interest in agile principles being applied.
It is often not intuitive to use agile and lean startup thinking in the world of big data and analytics. You can feel far removed from users and customers and your products often have to enable people to answer open-ended questions to help solve complex business problems. Often you are the engine room of very large enterprises. We will discuss techniques and practices that we can use to stay agile under these conditions.
Please note, this talk focuses more on ways of working than technical aspects.
Target Audience: People in data-centric teams (warehousing, BI, analytics) or anyone with an interest in agile principles being applied.
