Whether we use Data Studio, Excel, Google Sheets, Tableau, R, some other platform, or (most likely) some combination of platforms, at the end of the day, as analysts, a core mechanism we use for communicating with our stakeholders is data visualization. The difference between an excellent visualization and a mediocre one can easily be the difference between whether a stakeholder understands and acts upon the data or whether she, instead, struggles to internalize the information and actually put it to use. In this session, Tim will walk through some of the neuroscience and psychology that underpins best practices in data visualization, as well as provide platform-agnostic tactical tips that put these principles to effective use.

Even before GDPR, savvy analysts were aware of privacy considerations and concerns as they went about their work of analyzing consumer behavior. But, increasingly, the convergence of regulatory changes (GDPR, CCPA,...), technological changes (ITP, ETP,...), publicized data breaches (Desjardins, Adobe, Capital One,...), and increased consumer awareness and action (ad blocker installations, browser configurations) have driven limitations to the data that is automatically available to marketers and analysts. Simultaneously, the rise of CDPs, machine learning, and AI are driving an increased desire to gather and activate broader, richer, and more integrated customer data. In this session, the panelists will grapple with the tensions between these competing forces.