Environics Analytics and Snowflake Empower Canadian Tourism Industry with Faster and Better Data-Driven Insights
January 09, 2020 at 02:01 pm
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Snowflake announced Environics Analytics uses Snowflake to support faster processing of data that underpin many of its products, including the just-launched Canadian travel and tourism industry product, VisitorView. Using Snowflake to help process very large amounts of mobile location data, Environics Analytics created VisitorView and brought it to market in a significantly shorter period of time than it would have otherwise been feasible using alternative data solutions. VisitorView is helping the travel and tourism industry identify
American neighborhoods whose residents have a high propensity to visit Canada to maximize the efficiency of their marketing spend. Snowflake’s Secure Data Sharing feature, ease of use, and modern, flexible cloud-built architecture enabled Environics Analytics to process large datasets needed to create VisitorView. The product utilizes anonymous and aggregated mobile location data and provides users with insights into the volume of visitors to a specific location, their behaviors and preferences, lifestyle habits and much more. These insights help tourism organizations invest their marketing budgets more effectively, while also developing a more data- informed experience for visitors, based on their individual profiles.
Snowflake Inc. enables every organization to mobilize their data with Snowflakes Data Cloud. The Companyâs platform powers the Data Cloud, enabling customers to consolidate data into a single source of truth to drive meaningful business insights, apply artificial intelligence (AI) to solve business problems, build data applications, and share data and data products. Its platform supports a range of workload, including data warehouse, data lake, data engineering, AI/machine learning (ML), applications, collaboration, cybersecurity, and Unistore. Its cloud-native architecture consists of three independently scalable but logically integrated layers across compute, storage, and cloud services. The compute layer provides dedicated resources to enable users to simultaneously access common data sets for many use cases with minimal latency. The storage layer ingests massive amounts and varieties of structured, semi-structured, and unstructured data to create a unified data record.