How Google Is Improving their Data Quality

Data leaders must take pragmatic and targeted actions to improve their enterprise data quality if they want to accelerate their organizations’ digital transformation. During this virtual session, Michael Burke, Senior Director of AI and ML at Reltio, will ask a series of questions to Google’s Matthew Cox, Enterprise Data Management Lead, on how they are Improving their Data Quality efforts. We will also welcomed questions from the community. Below are some questions that were asked during the session: Tell us a little about yourself. Your role at Google and something personal. maybe about the farm you own.. How do you and your team think about Data Quality? How do you communicate to the business that improving data quality impacts business decisions? Perfection is hard to come by, can you talk about what a “good enough” standard of data is for Google, knowing that the responsibility of describing what can be defined as “good” lies with the business? How do you go about establishing a Data Quality standard across the organization? Are you using data profiling early and often? Can you talk more about that process within Google? Designing and Implementing DQ dashboards for monitoring critical data assets are important. Are you providing dashboards for your stakeholders, if so, what does that look like? During your data governance board meetings, assuming you have one, how do you talk about data quality? How do you communicate the benefits of making DQ better to the business? What differentiates the scale that Google operates from an average enterprise business? What additional considerations do you need to take into account? How do you measure what good and bad DQ is? Check out the Reltio Community today: https://community.reltio.com/home