Recommended articles to read on the weekend: Data Analytics and Digital Economy

1. A methodology for measuring the collaborative economy. Collaborative platforms have quickly penetrated several services sectors. Statistics on the development of the collaborative economy are essential for appropriate policy responses but there are few available. This column presents a simple methodology for estimating the economic size of the collaborative economy, which is also relevant for the platform economy (VOX).
2. Build trust to unlock the potential of smart analytics (Tableau).
3. Hidden figures: The quiet discipline of managing people using data. To prevail in the renewed war for talent, banks will need to deploy new capabilities in data, analytics, and organizational science (McKinsey).
4. Seizing the benefits of the digital economy for development (VOX).
5. Technology convergence and AI divides: A simulation appraisal. As artificial intelligence technologies become more effective and are rolled out across economies, it is important to assess how their diffusion will affect different economic stakeholders. This column argues that an AI divide may open up on three levels: individuals (workers), companies, and countries. Unless the transition to the new economics of the future is managed effectively, these divides may create a backlash against the adoption of AI technologies, despite their significant potential long-term benefits (VOX).
6. The Changing Use of Structured Data: Examples from around the World (CFA Institute).
7. The four types of strategy work you need for the digital revolution. The most successful companies learn how to transition seamlessly between different strategy implementation approaches (LSE Business Review).
8. Using data to unlock the potential of an SME and mid-corporate franchise. By mining huge reserves of customer data, banking analytics leaders are meeting the needs of hundreds of thousands of commercial customers, with new levels of convenience and cost efficiency (McKinsey).