Analysis Types Informing Big Decisions

Analysis Types Informing Big Decisions

Proof Point

PwC survey found majority of senior executives still rely on human judgement for analyzing big decisions

Analysis Types Informing Big Decisions

2016 (percentage)

Note: Data from PwC’s Global Data and Analytics Survey of 2,100 executives from more than 10 countries

Proof Point Findings

  • Machine Algorithm – Automated use of data to learn and make predictive analysis
  • Human Judgement Trust – Six out of ten executives interviewed by PWC still place more trust in human analysis over machine algorithms in informing big decisions
  • Machine-Human Combination – PwC suggests combination of data analytics and human intuition presents more capable and effective business solutions
  • Key Growth Drivers – Include growing business adoption of machine algorithms, increasing company need to optimize business processes, and rapidly advancing artificial intelligence applications


Business Model and Practices

Business Model
and Practices


Financial Services


Date Last Updated

August 18, 2017

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