Question-Driven Data Projects: Optimizing Business Value with the Right Questions

No hype or jargon—become adept at asking good questions about the data and obtaining answers to add significant business value to analytics and artificial intelligence (AI).

We start by exploring fundamental topics, such as how data relates to your pain points, where to find the data, the skillsets involved in data work, and the two main data methodologies. Next, we cover high-level matters regarding data, expanding the scope of data initiatives and elaborating on the bigger picture of data work. Learn how to enrich your data assets, what professionals and technologies you’ll need to leverage, how data needs to evolve over time, the cost of data projects, and a process for evaluating when a data initiative is worth the investment. We conclude with a series of AI topics, from when AI is relevant in a data project to where you can find worthy AI professionals.

Dr. Zacharias Voulgaris is a data scientist and analytics consultant with a background in engineering and management. After his PhD in Machine Learning, he worked in one of the top technical universities, Georgia Tech, as a researcher. Later on, he shifted to the private sector, eventually getting recruited by Microsoft as a program manager. Throughout his career, he has worked in various data-driven startups, developing various kinds of data products. Additionally, he has also authored various books on data science and AI and developed a series of programs in these fields, as well as on cryptography. Dr. Voulgaris is currently a mentor at GrowthMentor and MentorCruise as well as a consultant at GLG.