Amid today’s uncertainties, organizations need new data perspectives that answer critical “why” questions so they can sharpen insights and drive better decisions. Often overlooked is location intelligence—methodologies, technologies, and practices for deriving insights from geocoding and location data that answer “where” questions. Most data and analytics models have a geospatial component. Traditional sources such as physical addresses (of customers, sites, and buildings), ZIP codes, and postal codes are joined today by myriad new sources including mobile devices, wearables, GPS, embedded sensors (e.g., Internet of Things), and connected vehicles.
If organizations can relate location data and models to transaction data, events, real-time data streams, and more, they will gain complete, location-specific answers to business questions and achieve competitive advantages. Today, more companies are trying to move from legacy data warehouses and data lakes to a cloud-based, lakehouse paradigm for flexibility in more agile, self-service analytics. However, organizations often struggle to manage and process geospatial data within these environments, forcing some to continually send data between the lakehouse and a GIS platform.
Join this TDWI Webinar to learn how you can harness the power of location intelligence beyond simple data visualizations on maps to solve business-critical questions. Speakers will discuss geocoding engines and cloud data platforms such as Databricks for reaping value from the variety and volume of location data.
In this webinar, you will learn:
- How to develop location-based solutions and take advantage of the variety of geospatial data for a business advantage
- Using modern platform deployments for portability and cloud elasticity, including Kubernetes, Apache Spark, and Databricks
- Enabling powerful customer analytics with geocoding plus advanced data processing and modeling
- Best practices for self-service business users to achieve goals with location intelligence