Oslo Airport Boosts Safety Efficiency with Data Analytics

Oslo Airport Boosts Safety Efficiency with Data Analytics

This article provides a detailed interpretation of key flight information for Oslo Gardermoen Airport (ENGM), including runway data, taxiway information, navigation facilities, airport services, and important considerations. It aims to provide pilots with a comprehensive reference to ensure flight safety and efficiency. This guide covers essential details for pilots operating at ENGM, focusing on practical information for safe and effective flight operations. It serves as a valuable resource for pre-flight planning and in-flight decision-making.

Captain BI Enhances Crossborder Ecommerce with Data Analytics

Captain BI Enhances Crossborder Ecommerce with Data Analytics

Captain BI, a brand of Chuanqi Technology, focuses on Amazon precision operation and data analysis, providing cross-border e-commerce enterprises with full-scenario data analysis, precise promotion, and supply chain collaborative management. It has served over 500,000 sellers, helping companies achieve digital transformation and improve global retail efficiency. The goal is to become the most influential cross-border e-commerce data platform service provider.

Data Analytics Boosts Customs Trade Efficiency and Security

Data Analytics Boosts Customs Trade Efficiency and Security

The 215th/216th sessions of the WCO Permanent Technical Committee (PTC) highlighted the pivotal role of data analysis in modern customs operations. Discussions focused on leveraging big data and innovative technologies to optimize trade facilitation, risk management, supply chain security, and customs-tax cooperation. This charted a course for the future development of customs, emphasizing data analysis as a new engine driving trade facilitation and security. The meeting underscored the importance of data-driven insights for enhancing efficiency and effectiveness in customs administration.

Data Analytics Boosts Customs Risk Management and Efficiency

Data Analytics Boosts Customs Risk Management and Efficiency

This paper explores the importance and implementation path of customs data analysis capacity building. It proposes key elements for constructing a customs data analysis capacity building framework, including organizational structure, technology platform, talent development, and data governance. The research provides a reference for customs in data-driven risk management and performance improvement. The framework emphasizes the need for a holistic approach to enhance data literacy and analytical skills within customs organizations, enabling them to effectively leverage data for informed decision-making and improved operational efficiency.

Airlines Use Data Analytics to Optimize Pricing Boost Competitiveness

Airlines Use Data Analytics to Optimize Pricing Boost Competitiveness

In a highly competitive market, how can airlines optimize their pricing strategies through intelligent data analysis? This article explores the importance of pricing teams focusing on route characteristics and market dynamics to make flexible decisions based on data. It also emphasizes the value of forecasting key market indicators to enhance overall revenue and competitiveness.

08/07/2025 Airlines
Read More
Salta Airport Adopts SLA and SASA for Data Analytics

Salta Airport Adopts SLA and SASA for Data Analytics

This article, from a data analyst's perspective, provides an in-depth analysis of Argentina's Salta Airport (SLA/SASA), covering its code, geographical location, operational characteristics, and practical information. Through the interpretation and application of key data, it reveals the potential for data-driven improvements in airport operational efficiency and provides passengers with more comprehensive airport information. The analysis highlights how data insights can be leveraged to optimize airport processes and enhance the overall passenger experience.

Incheon Airport Rises As Global Hub with Data Analytics

Incheon Airport Rises As Global Hub with Data Analytics

Incheon International Airport leverages OAG Analyzer for data analysis, optimizing route development and transfer efficiency, solidifying its position as a regional hub. Features like 'virtual flights' enable the airport team to simulate new routes, assess their impact on transfer convenience, and improve decision-making quality and operational efficiency. This case demonstrates the importance of data-driven decision-making in modern airport operations. The analysis helps the airport to strategically plan and adapt to changing market demands, ensuring continued growth and competitiveness.

Amazon Sellers Turn to Data Analytics for Product Success

Amazon Sellers Turn to Data Analytics for Product Success

This article offers a methodology for Amazon product selection, helping sellers precisely identify untapped viral products through competitor, search volume, sales, and profit analysis. It emphasizes the importance of data analysis to avoid blind product selection and achieve profitable growth. The methodology provides a structured approach to identify opportunities and make informed decisions, leading to increased sales and market share on Amazon.

MENA Customs Boost Data Analytics at WCO Doha Workshop

MENA Customs Boost Data Analytics at WCO Doha Workshop

The World Customs Organization held its first regional workshop on data analysis in Doha, Qatar. The aim was to enhance data analysis capabilities of customs administrations in the Middle East and North Africa (MENA) region and explore its applications in customs management. The workshop shared best practices and laid the groundwork for developing data analysis strategies in the MENA region. This initiative seeks to improve customs efficiency, promote trade security, and foster economic development by leveraging data-driven insights.

Amazon Uses Data Analytics to Cut Product Return Rates

Amazon Uses Data Analytics to Cut Product Return Rates

This article delves into the powerful features of Amazon's free tool, 'Product Opportunity Explorer,' focusing on how to leverage its 'Category Analysis' function to accurately understand product return rates, eliminating guesswork. By using data-driven product selection and optimization, sellers can increase profit margins and gain insights into market trends, ultimately achieving a win-win situation for both the platform and the sellers. This allows for informed decisions based on real data, leading to better product choices and improved overall performance on Amazon.