Modern Analytics Methodologies: Driving Business Value with Analytics
Par šo e-grāmatu
Drawing on work with dozens of leading enterprises, Michele Chambers and Thomas Dinsmore describe high-value applications from many industries, and help you systematically identify and deliver on your company's best opportunities. Writing for both professionals and students, they show how to:
- Leverage the convergence of macro trends ranging from "flattening" and "green" to Big Data and machine learning
- Go beyond the Analytics Maturity Model: power your unique business strategy with an equally focused analytics strategy
- Link key business objectives with core characteristics of your organization, value chain, and stakeholders
- Take advantage of game changing opportunities before competitors do
- Effectively integrate the managerial and operational aspects of analytics
- Measure performance with dashboards, scorecards, visualization, simulation, and more
- Prioritize and score prospective analytics projects
- Identify "Quick Wins" you can implement while you're planning for the long-term
- Build an effective Analytic Program Office to make your roadmap persistent
- Update and revise your roadmap for new needs and technologies
Modern Analytics Methodologies will be an indispensable resource for any executive or professional concerned with analytics, including Chief Analytics Officers; Chief Data Officers; Chief Scientists; Chief Marketing Officers; Chief Risk Officers; Chief Strategy Officers; VPs of Analytics or Big Data; data scientists; business strategists; and line-of-business executives.
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Par autoru
Michele Chambers is the Vice President of Marketing for MemSQL. Prior to this, she served as Chief Strategy Officer and Vice President of Product Management & Marketing for Revolution Analytics, General Manager and Vice President for IBM Big Data Analytics, and General Manager and Vice President for Netezza Analytics. In these roles, Michele has worked with hundreds of customers to help them understand how to use analytics and technology to achieve high-impact business value.
Thomas W. Dinsmore is the Director of Product Management for Revolution Analytics. Previously, he served as an Analytics Solution Architect for IBM Big Data, SAS Consulting, and PricewaterhouseCoopers. Thomas has helped more than 500 enterprises around the world use analytics more effectively. He uniquely combines hands-on skill in predictive analytics with business, organization, and technology experience.
