79% of Corporate Strategists See AI and Analytics as Critical to Their Success Over the Next Two Years — Gartner Reports
79% of corporate strategists said that technologies such as analytics, AI and automation will be critical to their success over the next two years.
On average, 50% of strategic planning and execution activities could be partially or fully automated; currently, only 15% are.
Leveraging analytics and AI for more efficient, insightful strategy decisions is one of the biggest challenges, and opportunities, corporate strategists face this year.
Seventy-nine percent of corporate strategists said that technologies such as analytics, artificial intelligence (AI) and automation will be critical to their success over the next two years, according to a survey by Gartner, Inc.
Strategists said that, on average, 50% of strategic planning and execution activities could be partially or fully automated; currently only 15% are.
The survey was conducted from October 2022 through April 2023 among 200 corporate strategy leaders in North America, Western Europe, Asia/Pacific, and Australia/New Zealand, across different industries, revenue and company sizes.
“Leveraging analytics and AI for more efficient, insightful strategy decisions is one of the biggest challenges, and opportunities, corporate strategists face this year,” said David Akers, Director, Research at Gartner. “For years, strategists have told their businesses: If you want to stay competitive and effective, you need to go digital. Now, they appear ready to apply that guidance to their own workflows.”
While most corporate strategists said that they are using descriptive and diagnostic analytics, less than half said they are using more advanced tools such as predictive, prescriptive or graph analytics (see Figure 1). Similarly, only 20% of strategists reported using AI-related tools, such as machine learning or natural language processing, for their function. However, a large percentage of strategy leaders said they are either piloting these tools or exploring use options. For example, 51% said they are investigating machine learning and 45% said the same for predictive analytics.
Build a Use Case Strategy
One of the biggest obstacles to implementation is establishing a clear use case for new technologies. Fifty-two percent of strategists report that this is a top-three challenge — the most selected response.
“There are several reasons for this,” said Akers. “Strategists face an unfamiliar vendor market, have too many options to choose from and have little precedent to build upon.”
Much of the advanced technology that strategists said they are aiming to implement is already being used successfully elsewhere. To build a strong business case, Gartner recommends first mapping existing functionality to specific needs, then consider how to prioritize the different use cases that advanced technology could offer by asking questions about the purpose, impact and suitability of the new tools.
For more information, please visit www.gartner.com.