Do you have to develop or review an AI Strategy?
Do you need a quick review of strategy in general so you can develop an analytic or AI strategy for your company?
The book Developing an Analytic Strategy: A Primer covers
- The basic components of any strategy
- Seven key strategy tools that are specialized for analytics and AI
- Analytic SWOT
- Analytic Ansoff Matrix
- Porter’s Five Forces for Analytics
- Blue Ocean Analysis for Analytics
- The Analytic Experience Curve
- Rating Your Competitive Position in Analytics
- PESTEL Analysis for Analytics
- Analytic strategies for both larger companies and for start-ups
- Implementing an analytic/AI strategy
- The two main blockers for executing an analytic strategy
- Concrete steps for crossing the data chasm
- Concrete steps for crossing the engineering chasm
- Outlines of sample analytic strategies
About the Primer (an ebook)
The ebook Developing an Analytic Strategy: A Primer is about 150 pages long and should be useful for anyone developing an AI or analytic strategy. It is designed to be self contained and provides short introductions to both analytics and to strategy.
The Primer reviews seven standard strategy tools and frameworks and then explains how to adapt them so they can be used to develop an analytics or AI strategy for you company. The tools and frameworks covered include: analytic SWOT, Analytic Ansoff Matrix, Porter’s Five Forces, Blue Ocean Analysis, the Analytic Experience Curve, and PESTEL analysis.
The primer also covers specialized tools and frameworks to support analytic strategy, including the Analytic Diamond and the Analytic Value Chain.
You can find a table of contents here.
The book has three main parts: Part I covers developing an analytic strategy. Part II discusses implementing an analytic strategy, and Part III contains sample outlines of five common ways of organizing an analytic strategy plan.
Download the ebook now
The book Developing an Analytic Strategy: A Primer can be purchased as a downloadable pdf for $24.50.
You can purchase the primer for $24.50 using your credit card or PayPal account and download the book now. You will get an email from Analytic Strategy Partners with a link so that you can download the book.
What’s Included in the ebook
- What is analytic strategy?
- A quick introduction to analytics?
- The basic components of any strategic plan
- The analytic diamond
- Crossing the data chasm
- The analytic value chain
- Seven key strategies for analytics
- Strategic choice
- Strategic choice for start-ups
- Outsourcing analytics and AI
- Tracking progress of your strategy with metrics: OKR and KPI
- Analytic governance
- Organizational structures for analytics
- Some rules for implementing an analytic strategy
- Outlines of sample analytic/AI strategies
About the Author
- Bob has been a thought leader in data science and analytics for over 25 years and has founded or co-founded three companies in analytics and predictive modeling.
- He founded Analytic Strategy Partners LLC in 2016 and is the Managing Partner.
- From 2002-2015, he was the Founder and Managing Partner of Open Data Group, which was one of the pioneers scaling predictive analytics, machine learning and AI to large datasets and helping companies develop and deploy innovative analytic solutions and strategies.
- In 1996, he founded Magnify, Inc. and was its CEO until 2001. Magnify provided predictive analytics to the financial services industry and is now part of the Lexis-Nexis (RELX Group).
- Bob is also a faculty member at the University of Chicago, where he is the Frederick H. Rawson Distinguished Service Professor of Medicine and Computer Science and the Jim and Karen Frank Director of the Center for Translational Data Science. As a both a practitioner of analytics, machine learning, and AI and as researcher and teacher working in the field, he brings a perspective to the Primer that grounds practical and timely advice with a historical understanding of what has actually proven useful and practical over time.
- Finally, Bob has provided advice to US government agencies and not for profits in analytics, machine learning and AI and has an understanding of some of the practical issues faced by large agencies.
- National National Oceanic and Atmospheric Administration (NOAA), Member, Scientific Advisory Board, 2017-2023
- National Cancer Institute (NCI), Member, Frederick National Laboratory Advisory Committee (FNLAC), 2014-2021
- National Research Council (NRC), Committee Member, Committee on Future Directions for NSF Advanced Computing Infrastructure to Support US Science, 2014-2016
- National Research Council (NRC), Committee Member, A Review of U.S. Navy Cyber Defense Capabilities, 2013-2014
- Defense Science Board (DSB), Co-Chair, DSB Task Force on Cyber-Security and Reliability in a Digital Cloud, 2011-2013
- ACM SIGKDD, Board of Directors, 2005-2013. SIGKDD is the ACM community for data mining, data science and analytics.