A majority of business leaders in enterprises worldwide are unable to use data to make strategic business decisions, according to Salesforce’s Untapped Data Research survey. Credit: iStock/gorodenkoff Enterprises worldwide are not tapping the potential of their data when making critical business decisions and navigating uncertain macroeconomic conditions, according to a Salesforce survey. Nearly 67% of 10,000 business leaders polled globally are not using data to set pricing in line with economic conditions such as inflation, according to the Untapped Data Research survey. Only 29% of these leaders are using data to set strategy when launching products or services in new markets, and just 17% are using data to achieve their climate goals, according to the survey. Just 21% of the survey respondents said they are using data to make decisions about their company’s diversity goals. The lack of data utilization is happening even though 80% of the leaders said that data is critical to decision making and 73% said that data reduces uncertainties. The business leaders who were polled also believe that data can help generate more efficiency and trust in their organizations if leveraged correctly, according to the survey. Nearly 72% of these leaders said that data keeps people focused on the things that matter and that are relevant to the business. In addition, more than 66% of the executives surveyed said that they think data can help minimize the influence of personal opinions or egos in a business conversation. Data deluge sparks operational challenges The volume of data generated and the lack of knowledge to operationalize or utilize it in the most effective way are impediments to tapping the potential of enterprises’ data reserves, according to survey respondents. “While 80% of business leaders say data is critical in decision-making, 41% cite a lack of understanding of data because it is too complex or not accessible enough. What’s more, one-third of leaders said they lack the ability to generate insights from data,” Francois Ajenstat, chief product officer at Tableau, wrote in a blog post. Salesforce acquired visual analytics software provider Tableau in August 2019. In addition to the impediments cited by Ajenstat, the volume of data generated globally is expected to more than double by 2026, adding to more complexities for enterprises, according to the study. Investing in data literacy skills could be the solution Enterprise leadership teams can work to eliminate these impediments by investing in data literacy programs for employees and weaving a data culture into the fabric of the enterprise, according to Ajenstat. “If a company doesn’t yet have a data culture, then they need to invest in platforms that allow them to turn repeatable processes into core capabilities,” Ajenstat said, adding that data literacy programs should be offered to all employees. The proliferation of generative AI and natural language processing will break down learning barriers for employees, Ajenstat said. “These innovations are giving non-data people the confidence to make an informed decision and act on it,” Ajenstat wrote. Related content brandpost Sponsored by Avanade By enabling “ask and expert” capabilities, generative AI like Microsoft Copilot will transform manufacturing By CIO Contributor 29 Feb 2024 4 mins Generative AI Innovation feature Captive centers are back. Is DIY offshoring right for you? Fully-owned global IT service centers picked up steam in 2023, but going the captive route requires clear-eyed consideration of benefits and risks, as well as desired business outcomes. By Stephanie Overby 29 Feb 2024 10 mins Offshoring IT Strategy Outsourcing feature What is a chief data officer? A leader who creates business value from data A chief data officer (CDO) oversees a range of data-related functions to ensure your organization gets the most out of, arguably, its most valuable asset. By Minda Zetlin and Thor Olavsrud 29 Feb 2024 10 mins Staff Management Careers IT Leadership tip The trick to better answers from generative AI Miso.ai co-founders Lucky Gunasekara and Andy Hsieh discuss how going beyond RAG basics to break down question context and assumptions is key for enterprise-grade service. By Sharon Machlis 29 Feb 2024 5 mins Generative AI PODCASTS VIDEOS RESOURCES EVENTS SUBSCRIBE TO OUR NEWSLETTER From our editors straight to your inbox Get started by entering your email address below. Please enter a valid email address Subscribe