Enterprises fail to achieve ‘transformational’ level of maturity for data and analytics
A total of 91% of enterprises throughout the world have failed to attain a "transformational" level of maturity when it came to data and analytics, according to a new report from Gartner.
The survey that polled 196 organisations worldwide revealed that although CIOs are considering data and analytics to be their top investment priority in the recent years, 60% of respondents have placed themselves in the lowest three levels on Gartner’s five-level maturity scale for data and analytics – Level 5 being marked as "transformational".
According to the survey, 48% of APAC enterprises reported that their maturity for data and analytics lies in the top two levels in contrast to 44% and 30% of enterprises in North America and EMEA, respectively.
During the survey enterprises cited to several hurdles that are preventing them for improving their data and analytics use. Notably, there is not one clear reason - they come across different issues depending on their geographical location and present maturity level. However, the survey identified the most common issues faced by organisations: defining data and analytics strategy; determining how to get value from projects; and resolving issues related to risk and governance.
Elsewhere, The Hackett Group’s study titled “Analytics: Laying the Foundation for Supply Chain Digital Transformation” is providing some insightful statistics regarding the use of analytics in enhancing supply chain performance. The study found that advanced supply chain analytics are considered to be very important for supply chain operations over the next two to three years by 66% of leaders in the supply chain.
Interested in hearing industry leaders discuss subjects like this and sharing their use-cases? Attend the co-located IoT Tech Expo, Blockchain Expo, AI & Big Data Expo and Cyber Security & Cloud Expo World Series with upcoming events in Silicon Valley, London and Amsterdam and explore the future of enterprise technology.
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