Initiating a Data Science and Analytics domain in a new organization is a challenging mission that requires careful planning and execution. There are several factors that contribute to the difficulty of this process: the need to build a strong foundation of data infrastructure and security, create alignment on the strategy and roadmap, hire and train skilled data professionals and the need ֿ to gain support and buy-in from key stakeholders.

In this round table we will discuss the challenges and the key success contributors to building the Data Science and Analytics domain from scratch. We will address the questions: Where to begin?, How to effectively define the scope and goal of the data domain in the company? What data professionals are needed for YOUR effort (e.g. data engineers, data analysts, BI developers, Data Scientist, MLE?), What didn’t work and how could that be avoided? How to incorporate your personal core values within the company values and business needs?
We will also touch current marketplace recruitment challenges and share tips on how to create value with no or limited resources.