July 2019 Summaries

The Top 5 Location Intelligence and Spatial Webinars from CARTO` presents a compilation of expert webinars covering various topics in the location intelligence industry, including collaborations with industry thought leaders and technical sessions on the latest advances in spatial data science. These webinars range from general topics to more specialized ones like site planning and business applications. They also cover how to integrate spatial analysis into different roles such as data scientists, developers, and business users. CARTO's platform is highlighted for making location intelligence accessible to everyone, with tools like CARTOframes and the intuitive user interface. The webinars provide practical insights and demos on how to use spatial data science in various workflows.

The travel and hospitality industry is leveraging spatial analytics and short-term rental data to inform business decisions, with applications extending beyond the industry to cities, governments, transportation services, real estate, and retail. Major events like the UEFA Champions League final provide opportunities for analyzing short-term rental data, which can help build post-event impact reports, enable more efficient future event planning, and inform business decision making in various sectors. The increasing availability of high-quality location data from the growing short-term rental field is critical for businesses to make informed decisions and seed growth and advancement in multiple sectors.

We are transforming the way companies make business decisions by leveraging location intelligence, which is driving a shift towards spatial data analysis. This shift is being driven by three key factors: increased accessibility of new data sources, advancements in spatial analysis techniques, and growing demand for data science teams. To capitalize on these changes, we've launched our Location Data Streams catalog, providing access to a wide range of curated datasets that can enrich existing data and inform business decisions. By thinking spatially and incorporating external geospatial data into analysis, companies can unlock meaningful insights and gain a competitive edge.

The field of Spatial Data Science is growing rapidly across multiple industries, with academic programs and companies investing heavily in data science. The Spatial Data Science Conference 2019 aims to build a space for collaboration and innovation among leaders from the public and private sectors, academia, and experts in geospatial data science. The conference will feature keynotes, technical workshops, and panels on various topics, including industries and fields, with past speakers joining from top companies and academic institutions. It will provide opportunities for networking, posting open geospatial jobs, and meeting up-and-coming talent, with the goal of driving spatial innovation and inspiring deeper discussion of the utility of spatial data science.

The cannabis industry has experienced rapid growth over the last decade, with significant increases in employment, sales, and investment. Location Intelligence plays a critical role in this industry, providing essential data-driven business solutions for companies of all sizes. The industry's unique constraints, such as varying regulations and laws across different states, require advanced spatial data science techniques to optimize supply chains, delivery services, and site planning. Companies can leverage location data to gain a competitive edge, particularly in areas like logistics optimization, geomarketing, and risk assessment. As the industry continues to evolve, Location Intelligence will become increasingly important for entrepreneurs and investors seeking to navigate this rapidly growing market.

Sage Research Methods partnered with Sage's data science team to create video guides showcasing two spatial data science projects: `Understanding Usage of NYC Public Parks with Spatial Data Science`, and `Using Spatial Data Science to Improve Food Truck Sales`. These projects utilized location intelligence and anonymized data from mobile GPS data and open-source data from New York City's Department of Parks and Recreation. The data analysis allowed for insights into how people spend time in public parks, as well as predicting the best locations for food truck sales in NYC.