I’m excited to share that I’m the author of a new O’Reilly Media report sponsored by analytics software provider TIBCO. The report, Modern Analytics Platforms: The Journey to Enterprise Agility, is available in full on the O’Reilly Media Online Learning platform.
Read the report on O’Reilly’s Online Learning platform.
This is a 35-page report exploring legacy and contemporary approaches to analytics, what’s coming next, and how analytics can unlock organization agility.
Report description:
From a global pandemic to extreme weather, the events of 2020 and 2021 have caused organizations to make quick and constant adjustments to their strategy and operations. This transformation is likely to continue and have a major impact on analytics. Not only do responders to Experian’s annual Global Data Management survey confirm more demand for data insights, but most of them also believe the lack of agility hurt their organization’s responses to fast-changing business needs.
With this O’Reilly report, you’ll learn how organizations have begun to take new approaches to analytics for business reinvention and digital transformation. Chief analytics and data officers and data analytics, data science, data visualization leaders will explore converged analytics and find out how it differs from legacy and current analytics approaches. You’ll see where your organization stands in its journey to convergence–and what you need to do next.
This report helps you:
- Examine how three organizations in different industries and with different objectives have benefited from modern analytics
- Learn how analytics has evolved to support greater business agility at scale
- Examine the alignment of people, processes, tools, and data in converged analytics
- Learn the five stages of analytical competition and six dimensions for benchmarking maturity
- Explore practices that you can adopt to improve your analytics capabilities and your agility
Please give it a read and visit other works on my O’Reilly author page, such as live webinars and my book Advancing into Analytics: From Excel to Python and R.
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