CIO Strategy: How to Lead Enterprise Data and Analytics?

Data and analytics should be a core competence for every Chief Information Officer and Information Technology organization. Given the business, technical, and cultural challenges of using data to make informed business decisions, it’s no surprise that data science and analytics are hard.
So, how do you make your enterprise data and analytics program a success? Bruno Aziza, head of data and analytics for Google Cloud, explains his approach with valuable lessons based on practical experience.

The conversation includes these topics:
-- CIO Strategy: How to Lead Enterprise Data and Analytics?
-- How to choose a meaningful data problem?
-- How important is data infrastructure?
-- What is a data mesh?
-- How can small organizations take advantage of data and analytics?
-- Should the CIO own data and analytics?
-- Chief financial officer as the data owner?
-- Chief Digital Officer as the data owner?
-- Value of low-code and no-code products to CIOs?

Bruno Aziza is head of data and analytics for Google Cloud. He specializes in scaling businesses & turning them into global leaders. He helped launch Alpine Data Labs (bought by Tibco), AppStream (bought by Symantec), SiSense (bought Periscope Data) & AtScale. He was at Business Objects when they went IPO (after acquiring Acta & Crystal Reports, & before SAP bought them for $7B). He was at Microsoft when they turned the Data & Analytics business into a $1B giant. Bruno has written 2 books on Data Analytics and Enterprise Performance Management. His allegiance is to the Analytics Community worldwide.

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Read the complete transcript: https://www.cxotalk.com/episode/google-cloud-how-manage-enterprise-data-science

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