kathimerini.gr
Data Analytics: Unlocking Economic Growth in Greece
Greek businesses using data analytics see significant cost savings and productivity gains; open data initiatives promise further economic growth, but Greece's open data impact score remains low despite strong policy.
- How does the Greek government plan to improve its open data infrastructure and what are the potential challenges?
- The SEV highlights that 86% of businesses systematically using data adapt better to market changes. Open data, freely available public information, improves decision-making and problem-solving across sectors, including traffic management and construction project tracking. This data contributes to a 20-30% innovation boost and a 10-30% reduction in costs and administrative burdens.
- What are the immediate economic benefits for Greek businesses and the public sector from effectively utilizing data analytics and open data initiatives?
- Greek businesses leveraging data analytics experience significant improvements: a 20% reduction in equipment maintenance costs, a 30% increase in cash flow, and a 73% boost in employee productivity, according to the Hellenic Federation of Enterprises and Industrialists (SEV). Open data initiatives further enhance innovation and efficiency, contributing to a potential 4% GDP increase.
- What long-term societal and economic impacts can be expected from increased data utilization in Greece, considering the current level of open data maturity?
- Greece's low open data impact score (130/600) contrasts with its good policy score (512/640), suggesting untapped potential. The government prioritizes open data processing, planning initiatives like a real-estate price map app. The upcoming European Data Governance Act aims to create a unified platform for easily accessible, updated information, boosting public services and private sector innovation.
Cognitive Concepts
Framing Bias
The article frames the utilization of data, especially open data, in overwhelmingly positive terms. Statistics on cost reduction, efficiency gains, and innovation are prominently featured, creating a highly optimistic outlook. The headline (although not provided) likely reinforces this positive framing. The relatively low ranking of Greece in data impact is mentioned, but the overall tone minimizes the negative aspects.
Language Bias
The language used is generally neutral, using descriptive statistics and quotes. However, terms like "hidden treasure" and "unlocking new possibilities" contribute to an overly optimistic and potentially promotional tone, bordering on persuasive rather than purely informative language. The repeated emphasis on high percentage increases (e.g., 73% improvement, 20-30% increase) further amplifies the positive effects.
Bias by Omission
The article focuses primarily on the benefits of data utilization, particularly open data, and doesn't extensively explore potential drawbacks or challenges. While it mentions Greece's low ranking in data impact, it doesn't delve into the reasons behind this or offer solutions. The lack of counterpoints or critical perspectives could lead to an incomplete understanding. Omission of potential negative impacts of data use, such as privacy concerns or algorithmic bias, also weakens the analysis.
False Dichotomy
The article presents a somewhat simplistic dichotomy between decision-making based on experience/intuition versus data-driven decisions. While highlighting the benefits of the latter, it doesn't fully acknowledge the value of experience or the limitations of data analysis in certain contexts. The nuanced interplay between these approaches isn't adequately explored.
Sustainable Development Goals
The article highlights how data, particularly open data, can drive innovation, improve efficiency, and boost economic growth. The use of data analytics leads to cost reduction, increased productivity, and development of innovative products and services. This directly contributes to SDG 9 (Industry, Innovation and Infrastructure) by fostering innovation and improving infrastructure through better decision-making processes based on data analysis.