Data is not just another resource. It’s your most powerful—yet most poorly managed and therefore most underutilized—organizational asset. Data is your sole nondepletable, nondegradable, durable strategic asset, and it is pervasively shared across every organizational area. Lack of talent, barriers in organizational thinking, and seven specific data sins exist as organizational prerequisites to be satisfied before (a measurable) 9 out of 10 organizations can begin to achieve the three primary goals of an organizational data strategy: improve your organization’s data, improve the way your people use data, and improve the way your people use data to achieve your organizational strategy.
Peter Aiken offers a more operational perspective on the use of data strategy, which is especially useful for organizations just getting started with data. Your organizational data strategy can be used to best focus your data assets in precise support of your organization’s strategic objectives. Once past the prerequisites, organizations must develop a disciplined, repeatable means of improving the data literacy, standards, and supply as business objectives in specific areas that become the foci of subsequent data governance efforts. This process (based on the theory of constraints) is where the strategic data work really occurs, as organizations identify prioritized areas where better assets, literacy, and support (data strategy components) can help an organization better achieve specific strategic objectives. Then the process becomes lather, rinse, and repeat.
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Peter Aiken is an acknowledged data management (DM) authority. He’s an associate professor of information systems at Virginia Commonwealth University (VCU), past president of the International Data Management Association (DAMA-I), and associate director of the MIT International Society of Chief Data Officers. He’s also the founder of Data Blueprint, a consulting firm that helps organizations leverage data for profit, improvement, competitive advantage, and operational efficiencies. A practicing data consultant, professor, author, and researcher, Peter has studied DM for more than 30 years and has assisted more than 150 organizations in 30 countries, including some of the world’s most important, gaining international recognition along the way. He is the author of 10 books and multiple publications, including his latest on data strategy. He’s a dynamic presence at events and hosts the longest running and most successful webinar series dedicated to DM (hosted by dataversity.net).
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Thanks for sharing! Very useful
The slides are now live on this page.
Hi Ivar – I’ve sent the slides in to the conference coordinator – if you still are having trouble getting them please email me directly and I will send to you
Hi Peter,
Could you please upload your slidedeck.
Best,
Ivar