slides · global inventory
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Global slide inventory for the active corpus filters, with each row opening the slide detail view.
Corpus coverage
319,975 slides
319,974 are described (100%), so the treemap can explain the corpus instead of just counting files.
- Total slides
- 319,975
- Described
- 319,974
- Pending
- 1
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Slide type composition
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Slide type
Showing 319,974 described slides — 100.0% of 319,975 rendered pages
+Context & problem43,76713.7% · 6,592 docs+Data & charts72,62022.7% · 8,666 docs+Meta & navigation45,93614.4% · 9,739 docs+Recommend & act67,04121.0% · 9,324 docs+Cases & evidence31,2569.8% · 6,067 docs+Frameworks2,1230.7% · 1,232 docs+Appendix35,68211.2% · 6,614 docs+Other21,5496.7% · 5,566 docs
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Slide collection
315,703-315,720 of 319,975
07
McKinsey Jobs lost jobs gained Workforce transitions in time of automationMcKinsey Jobs lost jobs gained Workforce transitions in time of automation · mckinsey-jobs-lost-jobs-gained-workforce-transitions-in-time-of-automation
Consulting deck Strategy consulting Beat · Agitation1 hit
08
The slide uses a three-column process flow to define the scope of the analysis.McKinsey Jobs lost jobs gained Workforce transitions in time of automation · mckinsey-jobs-lost-jobs-gained-workforce-transitions-in-time-of-automation
Consulting deck Strategy consulting Beat · SolutionLoop · Cost Of Inaction1 hit
09
The chart highlights 'Collect data', 'Process data', and 'Predictable physical' as the most susceptible activities to automation.McKinsey Jobs lost jobs gained Workforce transitions in time of automation · mckinsey-jobs-lost-jobs-gained-workforce-transitions-in-time-of-automation
Consulting deck Strategy consulting Beat · SolutionLoop · Cost Of Inaction1 hit
10
The chart uses a cumulative distribution to show the share of roles (y-axis) against technical automation potential (x-axis).McKinsey Jobs lost jobs gained Workforce transitions in time of automation · mckinsey-jobs-lost-jobs-gained-workforce-transitions-in-time-of-automation
Consulting deck Strategy consulting Beat · SolutionLoop · Cost Of Inaction1 hit
11
The chart uses bubble size to represent the percentage of time spent on specific activities and color to represent the automation potential (blue=low, red=high).McKinsey Jobs lost jobs gained Workforce transitions in time of automation · mckinsey-jobs-lost-jobs-gained-workforce-transitions-in-time-of-automation
Consulting deck Strategy consulting Beat · SolutionLoop · Cost Of Inaction1 hit
12
The chart illustrates the inverse relationship between education/experience and automation potential.McKinsey Jobs lost jobs gained Workforce transitions in time of automation · mckinsey-jobs-lost-jobs-gained-workforce-transitions-in-time-of-automation
Consulting deck Strategy consulting Beat · SolutionLoop · Cost Of Inaction1 hit
13
The chart displays sectoral contributions to total automation potential per country. The 'Midpoint automation scenario' is presented as a separate row of metrics below the main chart.McKinsey Jobs lost jobs gained Workforce transitions in time of automation · mckinsey-jobs-lost-jobs-gained-workforce-transitions-in-time-of-automation
Consulting deck Strategy consulting Beat · SolutionLoop · Cost Of Inaction1 hit
14
McKinsey Jobs lost jobs gained Workforce transitions in time of automationMcKinsey Jobs lost jobs gained Workforce transitions in time of automation · mckinsey-jobs-lost-jobs-gained-workforce-transitions-in-time-of-automation
Consulting deck Strategy consulting Beat · Solution1 hit
01
McKinsey King County and Seattle Homelessness Some FactsMcKinsey King County and Seattle Homelessness Some Facts · mckinsey-king-county-and-seattle-homelessness-some-facts
Consulting deck Strategy consulting 1 hit
02
McKinsey & Company slide, dated Dec 15, 2017.McKinsey King County and Seattle Homelessness Some Facts · mckinsey-king-county-and-seattle-homelessness-some-facts
Consulting deck Strategy consulting 1 hit
03
McKinsey King County and Seattle Homelessness Some FactsMcKinsey King County and Seattle Homelessness Some Facts · mckinsey-king-county-and-seattle-homelessness-some-facts
Consulting deck Strategy consulting Beat · Situation & Context1 hit
04
McKinsey King County and Seattle Homelessness Some FactsMcKinsey King County and Seattle Homelessness Some Facts · mckinsey-king-county-and-seattle-homelessness-some-facts
Consulting deck Strategy consulting Beat · Situation & Context1 hit
05
The slide uses a dual-chart layout to contrast the growth of the homeless population (left) with the general population (right).McKinsey King County and Seattle Homelessness Some Facts · mckinsey-king-county-and-seattle-homelessness-some-facts
Consulting deck Strategy consulting Beat · Problem & ComplicationLoop · Logic Chain1 hit
06
The chart uses a Marimekko (mosaic) plot to visualize the intersection of two categorical variables: location of homelessness onset and duration of residency in King County.McKinsey King County and Seattle Homelessness Some Facts · mckinsey-king-county-and-seattle-homelessness-some-facts
Consulting deck Strategy consulting Beat · Problem & ComplicationLoop · Logic Chain1 hit
07
The slide uses a bar chart for survey data and a check-mark matrix for qualitative risk associations.McKinsey King County and Seattle Homelessness Some Facts · mckinsey-king-county-and-seattle-homelessness-some-facts
Consulting deck Strategy consulting Beat · Problem & ComplicationLoop · Logic Chain1 hit
08
The slide uses a stacked bar chart to compare population distributions and a table to show the relative rate difference (homeless vs general).McKinsey King County and Seattle Homelessness Some Facts · mckinsey-king-county-and-seattle-homelessness-some-facts
Consulting deck Strategy consulting Beat · Problem & ComplicationLoop · Logic Chain1 hit
09
The chart uses a combination of bar (PIT count) and line (FMR) to illustrate the correlation, with a CAGR callout for the rent increase.McKinsey King County and Seattle Homelessness Some Facts · mckinsey-king-county-and-seattle-homelessness-some-facts
Consulting deck Strategy consulting Beat · Problem & ComplicationLoop · Logic Chain1 hit
10
The map uses a color-coded scale to represent affordability levels across different zip codes in Seattle.McKinsey King County and Seattle Homelessness Some Facts · mckinsey-king-county-and-seattle-homelessness-some-facts
Consulting deck Strategy consulting Beat · Evidence & Proof1 hit