SDO 019 - Managing Enterprise Scale Data Governance Challenges
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Interview: Tiankai Feng, Data Governance Leader & Musician What are your thoughts on data governance?Getting the business to care about data infrastructure can be an uphill battle, given how abstract data is. Combined with the underpinnings of a data product or dashboard being hidden in plain sight, it’s hard for non-data people to feel the need for data infrastructure. Yet one of the strongest levers to get the business to pay attention is through data governance.Gartner defines data governance as “…the specification of decision rights and an accountability framework to ensure the appropriate behavior in the valuation, creation, consumption and control of data and analytics.” In other words, reduce the risks associated with data and thus the risk of losing revenue. This is especially apparent in regulated industries, like finance or healthcare, where data leaks can cost companies millions; such as Anthem being fined $16M for a data breach. Even non-regulated industries face risk without proper data governance, including Bird who “overstated its revenue for more than two years by recognizing unpaid customer rides.”These risks only become amplified as your company scales to the enterprise level. This is exactly why I’m so excited for you to hear from Tiankai Feng about his experience in data governance within a 60K+ employee organization.
SDO 019 - Managing Enterprise Scale Data Governance Challenges
SDO 019 - Managing Enterprise Scale Data…
SDO 019 - Managing Enterprise Scale Data Governance Challenges
Interview: Tiankai Feng, Data Governance Leader & Musician What are your thoughts on data governance?Getting the business to care about data infrastructure can be an uphill battle, given how abstract data is. Combined with the underpinnings of a data product or dashboard being hidden in plain sight, it’s hard for non-data people to feel the need for data infrastructure. Yet one of the strongest levers to get the business to pay attention is through data governance.Gartner defines data governance as “…the specification of decision rights and an accountability framework to ensure the appropriate behavior in the valuation, creation, consumption and control of data and analytics.” In other words, reduce the risks associated with data and thus the risk of losing revenue. This is especially apparent in regulated industries, like finance or healthcare, where data leaks can cost companies millions; such as Anthem being fined $16M for a data breach. Even non-regulated industries face risk without proper data governance, including Bird who “overstated its revenue for more than two years by recognizing unpaid customer rides.”These risks only become amplified as your company scales to the enterprise level. This is exactly why I’m so excited for you to hear from Tiankai Feng about his experience in data governance within a 60K+ employee organization.