On the other side of the Big Data/Data Science/AI hype, every organisation is on a path from data curious to data-driven. All sizes and ages of organisation are looking at how data innovation and data-driven decision making can lead their digital transformation to bring success an often disrupted and competitive market. This path is strewn with obstacles. We have the technology, the obstacles relate to people and cultural change. If everyone was thinking about ‘how do we get started?’ in the last 5 (ahem, 7) years, then the next 5 years will be about ‘how do we do this well?’. A key foundation to success is a strong and positive data culture.
In building an inclusive data culture, a 360 view of all stakeholders within the organisation is necessary. From the board room, via the sales team and to the factory floor, each stakeholder group needs consideration and on-boarding. From our combined experience of working with hundreds of Microsoft and Pivigo clients, we will share examples of how these cultural shifts have been successful and where challenges lie. Specifically, we will cover:
Combining our UK and European experience with conversations and interviews with hundreds of C-Suite, business managers, data scientists and … everyone else, we will build on previous research done by O’Reilly authors and speakers in the US. This talk is for everyone facing a data-driven change. Team leaders and change makers across the organisation will take actionable insight back to their organisations.
Kim Nilsson is the CEO of Pivigo, a London-based data science marketplace and training provider responsible for S2DS, Europe’s largest data science training program, which has by now trained more than 430 fellows working on over 120 commercial projects with 80+ partner companies, including Barclays, KPMG, Royal Mail, News UK, and Marks & Spencer. An ex-astronomer turned entrepreneur with a PhD in astrophysics and an MBA, Kim is passionate about people, data, and connecting the two.
Phil Harvey is passionate about data and people. Empathy is the key data skill. He’s also a big beardy geek.
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