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Robert Seiner and Anthony Algmin faced off – in a virtual sense – at the DATAVERSITY® Enterprise Data World Conference to determine which is more important: Data Governance, Data Leadership, or DataArchitecture. The post Data Governance, Data Leadership or DataArchitecture: What Matters Most?
VP, ChiefDataOfficer, Tableau. Editor's note: This article originally appeared in Forbes , by Wendy Turner-Williams, ChiefDataOfficer, Tableau. In today’s fast-paced world of competing business priorities, the capacity to enable self-service data analytics with right-sized data governance is key.
VP, ChiefDataOfficer, Tableau. Editor's note: This article originally appeared in Forbes , by Wendy Turner-Williams, ChiefDataOfficer, Tableau. In today’s fast-paced world of competing business priorities, the capacity to enable self-service data analytics with right-sized data governance is key.
Let’s look at a few focus areas of a people-centric strategy to help you achieve trusted data and successful AI projects: your dataarchitecture, the processes for managing governed data, and balancing the roles of people and machines. Lay a strong foundation with your dataarchitecture. “I
Let’s look at a few focus areas of a people-centric strategy to help you achieve trusted data and successful AI projects: your dataarchitecture, the processes for managing governed data, and balancing the roles of people and machines. Lay a strong foundation with your dataarchitecture. “I
Evelson was joined at the virtual table by Domo’s chiefdataofficer, Mohammed Aaser; Clayco ’s CIO, Todd Flinders; and Dickies ’ global VP of digital strategy, Calvin Anderson, who talked at length about why organizations must be able to make better decisions faster—and what the first step in that process looks like.
Overall, however, what often characterizes them is a focus on data collection, manipulation, and analysis, using standard formulas and methods, and acting as gatekeepers of an organization’s data. Data analysts might report to a CIO, a ChiefDataOfficer (CDO), or possibly to a data scientist or business analyst team leader.
The past two years of remote work have been both a sprint and a marathon for IT leaders – working to find quick solutions to keep the lights on and businesses running remotely, coupled with making remote work scalable, sustainable, and secure long-term.
In 2021, there were many new use cases that came to life and became viable “data products” due to focus on data as a commodity. The advent of data democratization and formal enterprise data management maturity driven KPI’s within the companies have resulted in a seat at the board level for chiefdataofficers.
Chiefdataofficers (CDOs) are at the forefront of data modernization and AI adoption. In 2025, the leaders who successfully embrace innovative technologies, such as data fabric and generative AI (GenAI), will shape the future of their industries.
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