From data dinosaurs to data stars in five weeks: Lessons from completing 100 data science projects

Over the past four years, there has been a great shift in awareness in businesses and organisations of the need to use data more effectively and for a greater advantage. Yet, still many organisations struggle with how to get started; how to understand which data sets are important, what questions to ask and then how to set up a project and run it.

During this same time, Pivigo has delivered over 100 short data science projects to over 70 organisations. These organisations have been very diverse; both in industry, including media, retail, tech, charities and healthcare, and in size and age, ranging from large corporates such as KPMG, Royal Mail, Barclays and M&S, via SMEs through to two-person start-ups.

What we have consistently seen is the opportunity that lies in running very short, agile data science projects for organisations to become data-driven in a short period of time. In this presentation, I want to share experiences and learning from running these projects. I will go over several case studies of projects completed and go through the ten steps to go from being data curious to a data leader.

The presentation is intended for business executives, managers and those with a general interest in how to get the most out of their data and how to quickly see the benefit of data science.

Sie entwickelten gemeinsam das theaterprojekt mit den augen der anderen best-ghostwriter.com und fhrten es im rahmen einer theaterreise an drei orten in transsilvanien auf.
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