Session: Data-Driven Decision Making
Data-driven decision making (DDDM) is making decisions supported by complex data rather than being intuitive or based solely on observation. As industry technology has improved exponentially in recent years, Data-driven decision-making has become a more fundamental part of many sectors, including essential fields like medicine, transportation, and equipment manufacture.
Data-driven decision making, also known as data-driven decision management or data-directed decision making, is a method of making decisions based on data.
Bio
Roja is a data-obsessed and results-driven software engineering senior advisor. She Interacts with stakeholders from cross-functional teams to understand and analyze technical/ functional requirements, dependencies, and potential roadblocks and Communicates ideas, solutions with both technical and non-technical audiences. She is an avid learner with Strong storytelling capabilities. She loves to design data visualizations, interactive dashboards & presentations for internal and external users and help make data-driven decisions.
Roja is a strong believer in a growth mindset and is passionate about mentoring women in stem.