Why “Where” is a Must Have for Data Science

Presented by

Lamont Norman, Senior Product Manager - Big Data/Cloud Native at Precisely

About this talk

Empowering Data Scientists with Geospatial Data at Scale - Why "Where" is a Must Have for Data Science In the first of our "Empowering Data Scientists" mini-series, we begin by exploring how to leverage location-based information to bring data together for use in analytical models. Finding and munging geospatial data is tricky and more challenging than a simple Python or notebook call while quality data is also important to avoid inaccurate results. Knowing how to source and incorporate valuable location information is critical to deliver increased business insight while keeping project costs down. When thinking about the complexities of using geospatial data, it can be daunting to know where to begin. Find out what your organisation needs to know to tap the potential of geo-enrichment and geospatial data. Topics will include: Best practices for getting started with geo-enrichment Geo-enrichment key concepts and understanding large-scale geospatial data processing Strategies for integrating business address data into data science projects with Spark and Kubernetes Using metadata quality indicators to inform processes with business insight A live demonstration of Spectrum Spatial for Big Data in a cloud native environment

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Precisely is the global leader in data integrity, providing accuracy and consistency in data for 12,000 customers in more than 100 countries, including 90 percent of the Fortune 100. Precisely’s data integration, data quality, location intelligence, and data enrichment products power better business decisions to create better outcomes. Learn more at www.precisely.com