Executive Briefings

Data, Analytics Programs Often Fail for Lack of Leadership Support

In a new survey, executives say senior-leader involvement and the right organizational structure are critical factors in how successful a company's analytics efforts are, even more important than its technical capabilities or tools.

Executives have high hopes for their data and analytics programs. Large majorities of respondents to a recent McKinsey Global Survey on the topic expect their analytics activities to have a positive impact on company revenues, margins and organizational efficiency in the coming years. To date, though, respondents report mixed success in meeting their analytics objectives. For those lagging behind, a lack of strategy or tools isn’t necessarily to blame. Rather, the results suggest that the biggest hurdles to an effective analytics program are a lack of leadership support and communication, ill-fitting organizational structures, and troubles finding (and retaining) the right people for the job.

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Executives have high hopes for their data and analytics programs. Large majorities of respondents to a recent McKinsey Global Survey on the topic expect their analytics activities to have a positive impact on company revenues, margins and organizational efficiency in the coming years. To date, though, respondents report mixed success in meeting their analytics objectives. For those lagging behind, a lack of strategy or tools isn’t necessarily to blame. Rather, the results suggest that the biggest hurdles to an effective analytics program are a lack of leadership support and communication, ill-fitting organizational structures, and troubles finding (and retaining) the right people for the job.

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