On the other side of the hype around big data, data science, and AI, every organization is on a path to being driven by data. Organizations of all sizes and ages are looking at how data innovation and data-driven decision making can lead their digital transformation to bring success in 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 the last five (ahem, seven) years were about getting started, the next five will be about doing it well. A key foundation to success is a strong and positive data culture. In building an inclusive data culture, a 360-degree view of all stakeholders within an organization is necessary. From the board room to the sales team down to the factory floor, each stakeholder group needs consideration and onboarding.
Drawing on their experience working with hundreds of Microsoft and Pivigo clients, as well as conversations and interviews with hundreds of C-suite, business managers, data scientists and. . .everyone else, Kim Nilsson and Phil Harvey explain how to build a successful data culture that embeds data at the heart of every organization through people and delivers success through empathy, communication, and humanity. Along the way, they share examples of how these cultural shifts have been successful and where challenges lie.
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 340 fellows working on over 85 commercial projects with 60+ 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 a CSA for data and AI at Microsoft. Passionate about data and people, he believes empathy is the key data skill. He’s also a big, beardy geek.
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