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Statistic Articles & Insights

59 percent of executives say big data at their company would be improved through artificial intelligence (AI).

It comes from studies conducted by PwC and reflects the growing belief among business leaders that AI can significantly enhance the management and use of big data within their organizations​. This view is supported by the recognition that AI can improve processes like data analysis, pattern detection, and decision-making, making it easier to derive value […]

53 percent of CEOs consider themselves the primary leader of their company’s analytics agenda.

2018

60 percent of businesses believe it is harder to source talent for data and analytics positions than for any other roles

The quote “60 percent of businesses believe it is harder to source talent for data and analytics positions than for any other roles” is accurate and reflects a growing challenge in the industry. This statistic comes from a McKinsey study that highlights the increasing difficulty companies face when trying to hire talent with data and […]

61 percent of businesses that recognize the effect of data and analytics on their core business practices say their companies either have not responded to these changes or have taken only ad hoc actions rather than developing a comprehensive, long-term strategy for analytics.

2018

Analytics leaders are nearly twice as likely as others to report enacting a long-term strategy to respond to changes in core business practices.

This statistic originates from a McKinsey study that highlights how companies excelling in analytics, referred to as “analytics leaders,” are significantly more proactive in aligning their data strategies with their evolving business needs. In contrast to companies that only react to data and analytics changes on an ad hoc basis, these leaders are much more […]

Data warehouse optimization is considered the most important big data analytics use case, and is considered critical or very important by 70 percent of businesses.

2017

36 percent of investment professionals use web scraping to derive data.

2019

Customer/social analysis is considered the second most important big data analytics use case, followed by predictive maintenance.

2017

79 percent of enterprise executives say that not embracing big data will cause companies to lose competitive position and risk extinction.

2018