Top Tamr Thought Leadership from Female CDOs and Data Leaders By Katie Christensen
Best Practices for the CDO and Data Leaders in Times of Change Kathleen Maley, Former Head of Consumer & Digital Analytics @ KeyBank and Barkha Saxena, Chief Data Officer @ Poshmark Kathleen Maley and Barkha Saxena share their perspectives about…
Best Practices for the CDO and Data Leaders in Times of Change
Kathleen Maley, Former Head of Consumer & Digital Analytics @ KeyBank and Barkha Saxena, Chief Data Officer @ Poshmark
Kathleen Maley and Barkha Saxena share their perspectives about how to deal with uncertainty and change within a data organization and how they used data to lead change in their organizations.
Building Data Teams for Tomorrow’s Challenges
Salema Rice, CDO @ Geometric Results
Salema Rice dives into the people part of data, discussing the key elements for building effective data teams, how agile methodology plays a role in modern data organizations, and how the combination of people, processes, and technology accelerates outcomes.
It’s about solving a business problem, not the data
Kathleen Maley, Former Head of Consumer and Digital Analytics @ KeyBank
Kathleen Maley shares why she stopped using the term data driven, why aligning around a business problem is key for data and analytics teams, the role language plays in communicating with business colleagues, and what she’s learned as a female analytics leader.
Data and the City
Stefanie Costa Leabo, CDO @ City of Boston
Stefanie Costa Leabo, Chief Data Officer for the City of Boston, talks about her non-linear career path (she considered becoming a political science professor at one point), the tangible connection between her work and what happens outside of city hall, and how sharing data helps Boston’s residents better understand what’s going on in their city.
Data as a Change Agent
Veda Bawo, Director of Data Governance @ Raymond James
Veda Bawo discusses some of the toughest challenges to deal with in handling data and digital transformation, such as convincing folks that it’s important to focus on data quality and to raise the bar with respect to data quality when they’re already time and resource constrained.