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January 21 - January 24
The idea of data culture has been under the spotlight of business field since the beginning of the 21st century, and is gaining popularity in recent years. It is now associated with both the science field and social sectors such as urban planning projects and Smart City programs.
Why data culture matters? The Industrial Revolution is changing businesses and industries in profound and unalterable ways. These changes were predictable: in 2000, Geoffrey C. Bowker clearly conveyed the idea of “local data culture” in his academic paper in terms of biodiversity. In 2014, Microsoft made a series of announcements including their intention to build data culture into everyday life through their services including Office 365, Azure and SQL Server. In 2015 organized a series of workshops about data culture in alliance with Hortonworks and KPMG UK, offering data analysts and other professional working in the field of Big Data an opportunity to understand the data culture of this gigantic company and help them build their own data culture in private sectors.
But the changes are neither uniform nor linear, and companies’ data-analytics efforts are all over the map of The Next Industrial Revolution. McKinsey research suggests that the gap between leaders and laggards in adopting analytics, within and among industry sectors, is growing. We’re seeing the same thing on the ground. Some companies are doing amazing things; some are still struggling with the basics; and some are feeling downright overwhelmed, with executives and members of the rank and file questioning the return on data initiatives. For leading and lagging companies alike, the emergence of data analytics as an omnipresent reality of modern organizational life means that a healthy data culture is becoming increasingly important.
With that in mind, we’re opening new discussions on Davos 2020 Online Platform.
The Age of Big Data
The concept of Data Revolution
Urban planning projects & Smart City programs
Data-driven organizations and management
Building a data culture in retail