February 2020 Summaries

Out-of-Home (OOH) advertising is growing rapidly, with an expected doubling to $16 billion by 2023, driven by its ability to leverage location data for targeted campaigns. OOH's unique advantage lies in its capacity to deliver messages at exactly the right time and place, boosting retail foot traffic, brand awareness, and driving sales. With digital innovation, DOOH is surging, increasing by 35% since 2010, and now accounts for 18% of total ad sales attributed to OOH. Mobile click-through rates increase when supported by OOH ads, and geotargeting enables hyper-targeted campaigns. Consumers are increasingly using search engines after seeing OOH ads, with 46% of US consumers doing so, and the future of DOOH advertising is data-driven, leveraging location data for targeting and measurement.

The US Social Determinants of Health Atlas is a study conducted by researchers at the University of Chicago and the American Hospital Association, which used publicly available data to analyze 15 social factors that determine health outcomes in the US. The team created four indexes to group these factors into distinct categories, including Socioeconomic Advantage Index, Limited Mobility Index, Urban Core Opportunity Index, and Mixed immigrant cohesion and accessibility index. They also identified seven neighborhood typologies across the country, which were found to be associated with premature mortality rates. The study revealed a direct relationship between social determinants of health and premature mortality rates, highlighting the importance of addressing social inequity in public policy to save lives.

The real estate market is constantly changing, and a comprehensive analysis is crucial for investors and organizations with significant portfolios. To fill knowledge gaps, new proptech solutions are needed, especially when it comes to spatial data, which is essential for analyzing property values and potential ROI. The top 5 data streams for real estate market analysis include POI data, human mobility & traffic, demographics, financial data, and housing and parcel data. Integrating these datasets can provide a more granular understanding of the area, predicting footfall and traffic that may impact a location, and adding depth to business projections. Leveraging publically available data sources and tools like CARTO's Data Observatory can make introducing these datasets into an analysis easier than ever.

The 2019-nCoV coronavirus outbreak is spreading rapidly across the world, with over 24,000 confirmed cases and 494 deaths as of February 5th. The virus has spread to dozens of countries, prompting a range of responses including lockdowns, border closures, and quarantine measures at major ports-of-entry. To understand transmission patterns and rates, spatial data visualization is critical, with maps highlighting the spread of the disease worldwide and by province in China. The outbreak has also led to an increase in COVID-19 data analytics efforts, with organizations such as CARTO providing grants and platform access to support public and private sector responses. These efforts aim to enable data-driven decision-making across various sectors, including healthcare, education, and government, to address the pandemic's impact.

Landgrid is a nationwide parcel dataset released in 2019 by Loveland Technologies, providing a unified view of land ownership, taxation, and more. The dataset boasts over 143 million parcels across 2,800 counties, covering 95% of US residents and Puerto Rico, with detailed information including address, owner, tax details, and assessment data. This granular data can be used to enhance spatial analysis and provide deeper insights for businesses and organizations in various industries such as geomarketing, infrastructure planning, insurance assessment, climate modeling, disaster relief, and canvassing.