CREATIVE ECONOMY EMPLOYMENT IN THE EU AND THE UK A COMPARATIVE ANALYSIS

This research was commissioned by Nesta, and is part of an ongoing project to create internationally comparable statistics on the size, growth and geography of the creative economy. Thanks to Hasan Bakhshi and John Davies at Nesta for feedback, to Douglas Cameron, formerly at DCMS and Sean Milburn at ONS for assistance on Annual Population Survey and EU Labour Force Survey queries. Thanks also to Havard Lien, Fabienne Montaigne, Livio Dellabate, David Steffes and Tereza Wennerholm of Eurostat for their help with the EU data, and to Enrico Giovannini for his help and comments. This work includes analysis based on data from the Annual Population Survey, produced by the Office for National Statistics (ONS) and supplied by the UK Data Service. The data is Crown copyright and reproduced with the permission of the controller of HMSO and Queen’s Printer for Scotland. The use of the ONS statistical data in this work does not imply the endorsement of the ONS in relation to the interpretation or analysis of the data.

Spotlight

KX

Our mission is to accelerate the speed of data and AI-driven business innovation enabling customers to transform into real-time, intelligent enterprises. Built for the most demanding data environments, our data timehouse software is trusted by the world’s top investment banks and hedge funds, and leading companies in the life and health sciences, semiconductor, telecommunications, and manufacturing industries. At the heart of our technology is the kdb time series database and analytics engine, independently benchmarked as the fastest on the market. It can process and analyze time series and historical data at unmatched speed and scale, empowering developers, data scientists, and data engineers to build high-performance data-driven applications and turbo-charge their favorite analytics tools in the cloud, on-premise, or at the edge.

OTHER WHITEPAPERS
news image

Drive Analytic Innovation Through SAS and Open Source Integration

whitePaper | May 27, 2021

In many organizations, we need more collaboration between businesses, analytic teams, application developers and IT operations. These teams often work with data in silos and end up duplicating efforts, failing to integrate, or missing opportunities to deliver value from data. In addition to siloed efforts, data scientists are also faced with ever-increasing volumes and speeds of data. And the reality is they’re expected to answer questions just as fast as - or faster than - before. It’s important that we’re using the right data and the right techniques to ensure optimal outcomes. Download this guide to learn more about SAS and open source.

Read More
news image

2022 Data Industry White Paper

whitePaper | December 27, 2022

The 2022 data industry white paper consists of five parts. Part 1 discusses data sharing between individuals, across countries and within companies, under this year's theme of 'Data Sharing.' Part 2 summarizes the major policies, legislation, and systems related to the data industry in Korea and abroad. Part 3 deals with the current status of Korean and global data industry markets. In Part 4, the status of each industry based on business data is examined. Part 5 reviews technologies related to data sharing and utilization. Overall, this white paper uses infographics to summarize the flow of related policies, legislations, and institutions that have been promoted over five years, and highlights the main data issues experienced in Korea this year based on data analysis.

Read More
news image

Forecasting the future of genomic data management

whitePaper | May 15, 2023

Genomics is the study of the complete set of DNA in a person or other organism. DNA underpins a large proportion of an individual's health and disease status, therefore a genomic medicine approach is increasingly being applied in clinical settings. Genomic medicine is where the study of clinical outcomes (measurable changes in health and well-being) is combined with genomics so researchers can better understand how a person’s genome contributes to disease. Increasingly, advances in our understanding of the genome are contributing to improvements in disease diagnosis, drug discovery and targeted therapeutics.

Read More
news image

Top considerations for cloud native databases and data analytics

whitePaper | October 1, 2021

centering your database and data analytics workload development and deployment on a Kubernetes-based container, you can create a more efficient and speedy data life cycle. Access this white paper to learn how to improve key capabilities for database and data analytics workloads across hybrid cloud environments.

Read More
news image

The Definitive Guide to Test Data Management

whitePaper | November 10, 2022

In this hyper-competitive era, faster time-to-market plays a vital role in the success of an organization. Any lag accounts for the 'Cost of delay,' impacting the value a product could create otherwise. This is the primary reason teams are adopting an agile approach to software development, testing, and release. Unfortunately, teams that don't follow suit find it challenging to deal with this accelerated timeframe.

Read More
news image

2022 Global data management research

whitePaper | August 26, 2022

For all business leaders, the past two years have been filled with trial and error as we continue to navigate this unprecedented time of health and safety, regulations, and shifting consumer needs. As the global economy seeks stability throughout the fluid pandemic mandates, we are finding that high-quality data has been a key play to keeping customer centricity.

Read More

Spotlight

KX

Our mission is to accelerate the speed of data and AI-driven business innovation enabling customers to transform into real-time, intelligent enterprises. Built for the most demanding data environments, our data timehouse software is trusted by the world’s top investment banks and hedge funds, and leading companies in the life and health sciences, semiconductor, telecommunications, and manufacturing industries. At the heart of our technology is the kdb time series database and analytics engine, independently benchmarked as the fastest on the market. It can process and analyze time series and historical data at unmatched speed and scale, empowering developers, data scientists, and data engineers to build high-performance data-driven applications and turbo-charge their favorite analytics tools in the cloud, on-premise, or at the edge.

Events