“Data is a precious thing and will last longer than the systems themselves.”
Tim Berners-Lee Inventor of the World Wide Web.
Understanding Data Economy
Data economy is a brand-new term that we have started to hear about very recently. Basically, data economy is a new type of economy which is based on data, data technologies, products and services. Caesars casino free online games it is especially https://kellyrobbins.net/casinos-in-las-vegas-close-to-a-kids-quest/ fascinating for advanced players, to be repaid on payday. (European Commission, 2017)
In today’s business environment, data is emerging as a new type of assets. Organizations collect, accumulate, clean and analyze huge amount of data. Data is acknowledged as a key factor of whether an organization will remain relevant throughout the digital revolution.
On the other hand, if we consider data economy as an outcome of digitization of the organizations, we can feel the pressure of change due to the lack of an adequate level of digitization. 72% of organizations will feel disruptive changes in their organizations in the next 5 years because of digitization. (PwC, 2018)
Unleashing the Economical Potential of Data Economy
Numbers are revealing that, obviously, data is the new basis of the future economy. A Data-driven economy is important because it increases competitiveness, innovation and business opportunities at a world-wide scale.
- By 2025, the EU data economy is expected to increase to € 1 trillion with an overall impact of 7% on the EU GDO under a High Growth Scenario characterized by a stronger driving role of the digital innovation and with higher overall ICT investments. (Datalanscape, 2019)
- By 2025, the EU data market (data exchange) is expected to increase to € 150 billion under a High Growth Scenario which is a strong indicator that all stakeholders of the data (organizations, society, people, etc.) will increase their focus on the marketplace where digital data is exchanged as “products” or “services” as a result of the elaboration of the raw data. (Datalanscape, 2019). In addition to that, 63% of organizations exchange data regularly or comprehensively which is a bright information. (PwC, 2018)
Reference: The European Data Market Monitoring Tool
Data is More Than an “Oil”
One hundred years ago, it was obvious that the major world resource was oil. Transforming from an industrial society to a data – driven knowledge society has brought new fundamentals. As a result, a new type of oil is started to be acknowledged as “data”.
In 2006, Clive Humby, UK Mathemetician, said that;
“Data is the new oil. It’s valuable, but if unrefined it cannot really be used. It has to be changed into gas, plastic, chemicals, etc to create a valuable entity that drives profitable activity; so data must be broken down, analyzed for it to have value.”
On the other hand, we as @BaslangicNoktasi are not fully convinced with the analogy made by Clive Humby. Our point about data is that it is much more than just a new oil. Why?
- Exponential Growth: Data is constantly being created and growing exponentially, while oil is a finite resource.
- Usage Attributes: Oil is destroyed after use, while data can and should be used again.
- Valuation: Unlike a barrel of oil, a piece of data has no value by itself. Instead, creating economic value entails analyzing data with inclusion of other information(Mandel, 2017)
- Control: Due to the fact that the supply of oil is fixed, it is easily controlled by a small number of owners. On the other hand, the value of data is not mainly related to its ownership. Instead, value is generated through analyzing and rendering the data.
In 2019, Google’s chief financial officer, Ruth Porat, said that
“Data is more like sunlight than oil, it is like sunshine — we keep using it, and it keeps regenerating.”
The Next Generation Internet (NGI) initiative has been established by the European Commission. This program has an ambition to guarantee the development of an internet that respects human and societal values, privacy, participation and diversity, and offers new functionalities to support people’s real needs, and addresses global sustainability challenges (Viola, 2016).
The overall vision is based on the idea which is increased via connectivity and the progressive adoption of advanced concepts and technologies, encompassing numerous spheres such as AI, IoT, blockchain, big data , better value is delivered to the people and to the society.
Understanding Economic Benefits of Data From Policy Making Point of View
It is vital for the governments to understand how data can help organizations, society and people. Understanding the economic benefits of data will enable governments to develop effective policy making processes.
- An Effective Government: With usage of data in policy making process, governments can enhance their decision making with compromising at desired level of quality and time. As a result, beneficial policies will be able to be developed on time when needed.
- Citizen-centric Policy Making: Amalgamated information about people, their lives, their current needs and the gaps in the services and demands will help governments to develop citizen-centric policies. The way of amalgamating data requires a holistic approach that contains all the players’ support. Data such as finance, health, education and security can be consolidated from private and non-private institutions. In conclusion, governments can deliver more beneficial policies to the society. Each Bitcoin gambling site has https://clanchronicles.com/royalton-punta-cana-resort-and-casino-pictures/ been reviewed independently , helping you find the perfect destination for gambling with crypto.
Data Economy Framework Proposed by Beginning Node
BN Team believes that a generic data economy framework encompasses six different pillars which are represented in the graph below:
Reference: Baslangicnoktasi.org Analysis
- Data Enablers: Data enablers are the fundamentals and back-bones of the entire data economy framework that encompass IT infrastructures, sensors, chips, cloud technologies.
- Data Creators: Data creators generate data from IoT and traditional data resources. Data resources contain categories of applications, social media, websites, open sources, APIs, financial transactions, surveys, censuses, and digitized hard copies. On the other hand, IoT data resources contain data from physical technologies.
- Data Collectors: Data collectors consolidate all data types that are spread around. They collect and share online and offline based on their needs. With its atypical American theme and license to https://kellyrobbins.net/no-deposit-codes-for-big-dollar-casino/ operate in Curacao, All Star Slots is a favorite online casino for US players and online slot fans.
- Data Platforms: These group mediates between data collectors and insight developers. Data exchange market is one of the most prominent example for the data platforms.
- Insight Developers: With the utilization of statistical models, artificial intelligence (AI, ML, DL), advanced analytical capabilities, insights (descriptive, predictive and prescriptive) are developed based on the aggregated data.
- Data Presenters: Once the data is created, collected and analysed, it is required to visualize. Data presenters visualizes the insights that are developed.
Developing a comprehensive and impactful data economy requires a great collaboration amongst all stakeholders such as governments, organizations, society and people.
The process is complex and requires specific focus. In order to create a successful data economy, governments should develop required policies to establish open data market, free access for the data, and data protection policies, organizations should develop the required data institutionalization in their structure and embed data into their DNA.
Furthermore to have a successful data economy ecosystem, the recommended initiatives for organizations are listed below:
- Define the organizations’ desired role in the data economy.
- Define a organizations’ data economy policy and mission.
- Develop a policy to control data when its shared with external stakeholders / partners. Think you can harness the power https://teyasilk.com/stick-and-poke-tattoo-places-near-me/ of ancient Greek dramatics?
- Develop institutional knowledge with respect to data monetization.
- Find data in all its forms across the organizations as well as publicly available develop a data monetarization strategy to unleash economical value of data.
- Develop a strategy in order to utilize benefits of the data exchange market.
Datalanscape. (2019). The European Data Market Monitoring Tool. http://datalandscape.eu/european-data-market-monitoring-tool-2018.
European Commission. (2017). Communication on Building a European Data Economy. European Commission.
Mandel, M. (2017). The Economic Impact of Data: Why Data Is Not Like Oil. Progressive Policy.
PwC. (2018). Data Exchange As a First Step Towards Data Economy. Welcome FS bonus — Wagering requirement depends on the amount and https://tpashop.com/chinook-winds-casino-hotel-phone-number/ the casino. PwC.
Viola, R. (2016). Next Generation Internet: The Internet of humans. European Commission.
PS: In this article, we have not focused on the regulatory aspect of data economy due to the fact that we believe the regulatory aspect deserves dedicated assessment. Thus, the regulatory aspect of data economy will be articulated in other articles.