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OASIS.003 Media Consumption Pattern Dataset for Consumer Behavior Insights

Context

Introduction

Jordan Liu's current project involves curating a dataset that tracks media consumption habits across diverse platforms. This dataset aims to empower media buyers and sellers in accurately targeting their audience segments, facilitating personalized content strategies for industries ranging from consumer goods to tourism. Jordan Liu, Data Strategy Director, with a a decade of experience in media analytics and a deep understanding of the media consumption landscape. His responsibilities include Overseeing the development and distribution of comprehensive media consumption datasets. Ensuring datasets adhere to the latest data provenance standards for transparent AI data usage and are relevant and reliable. Collaborating with stakeholders across healthcare, consumer goods, and travel industries to tailor data offerings. Guiding the integration of datasets into client systems to optimize targeted content delivery and marketing strategies. Advocating for data-driven decision-making within the company and among clients to foster industry innovation.

Role

Business Objectives

Ensure comprehensive coverage of media consumption patterns to provide actionable insights for diverse industries. Maintain high standards of data transparency to build trust and encourage collaboration. Enhance clients' operational efficiency and compliance through strategic data integration.

Products

Under Jordan's guidance, the "March 2024 Global Media Consumption Trends" dataset emerges as a good resource for understanding intricate media consumption behaviors across various platforms. By curating and documenting the dataset's metadata, including the adoption of version 1.0.0 for OASIS data provenance standards, assigning a unique identifier, and providing a transparent metadata URL, Jordan ensures the dataset's integrity and usability for AI analytics. This attention to detail, coupled with the clear documentation of data origin, collection methodologies, and privacy-enhancing measures, positions the dataset as a trustworthy and comprehensive tool for media buyers and sellers. The dataset's rich insights into consumer behaviors, derived from diverse geographical regions and articulated through a mix of structured and unstructured data types, empower stakeholders across multiple industries to tailor personalized content strategies effectively. Jordan's emphasis on data transparency and legal requirements fosters collaboration but also enhances operational efficiency and compliance for clients, setting a new benchmark for data-driven decision-making in media consumption.

Codebook

Dataset

License

Available Formats

Data Provenance