Organizations rely on computer software to aid in the accurate and timely analysis of data. Open source software (OSS) is becoming more prevalent in all organizations from academia to industry to government. Utilizing Python with proprietary compute power (e.g., SAS Viya) enables users of all levels to apply advanced analytics, data visualizations, and complex statistical modeling capabilities to aspects of the analytics lifecycle, producing descriptive and predictive data artifacts. This session will provide an overview of OSS with proprietary compute power as it pertains to business organizational analysis, the analytics lifecycle, and it gives participants a better understanding of how to leverage software for higher quality decision making.
Speakers: Joseph Castle, PhD