What do McKinsey presentations looks like?
Please find links to 20+ McKinsey presentations which are publicly available online. Many of these are from conferences, or governmental / non-profit organizations clients who have chosen to make them available online. Yes, Google is useful.
I selected the ones which as less than 10 years old have more than 15 pages. Have more to say at the bottom of the post, but take a look at a few:
Battery Materials Supply and Demand Perspectives (2022, 1Mb, 11pg)
Net Zero Transition (2022, 1.4Mb, 17pg)
Future of Clean Energy, (2022, 1.1Mb, 12pg)
Driving Innovation at Scale (2021, 2.3Mb, 33pg)
Global Hydrogen Flows, (2022, 9.6Mb, 40pg)
Challenges in Mining: Scarcity or Opportunity? (2015, 2.9Mb, 41pg)
How many EV chargers? (2022, 1.3Mb, 22pg)
How can companies capture veteran opportunities (2012, 2.4Mb, 46pg)
The Internet of Things and Big Data: Opportunities for Value Creation (2013, 600K, 17 pages)
Context for Global Growth and Development (2014, 900K, 11pg)
Assessing the Impact of the Financial and Economic Crisis and Ideas to Enhance Americans’ Retirement Security (2009, 1.2Mb, 22pg)
From poverty to empowerment MGI INDIA (2014, 900K, 21pg)
Future of Work in Ohio (2022, 1.1Mb, 22 pg)
Big Data and Advanced Analytics (BDAA) for the Finance function (2014, 1.3Mb, 18pg)
China Energy Demand Perspective (2014, 2.3Mb, 18pg)
Insurance trends and growth opportunities for Poland (2015, 1.8Mb, 25pg)
What makes private public partnerships work (2011, 1.1Mb, 12pg)
USPS Future Business Model (2010, 300K, 39pg)
Healthcare.gov Red Team (3.8Mb, 15 pg)
Laying the foundation for a sound industry – OECD (2013, 400K, 17pg)
Can the Financial Sector Promote Growth and Stability? (2015, 300K, 17pg)
Enhancing the contribution of MSMEs to economic development: main barriers and possible interventions (2011, 800K, 50pg)
A couple of thoughts:
- In true McKinsey style, there is a lot of analysis and data
- Titles are written in sentence-form with a “takeaway”
- Standardized color, font, layout, and kicker-boxes
- Frameworks to simplify the complex: timelines, value chain, bubble charts, histograms, maturity models, waterfall charts, and ROE analysis
- Diverse topics ranging from Big data in Mining to Polish insurance
- Use of experts, quotations, and inferences for more qualitative data
- Use of large surveys (n=20K+) to create voice of customer data
What is your major takeaway from viewing these presentations?
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