Data and analytics are the key accelerants of digitalization, transformation and “ContinuousNext” efforts. As a result, data and analytics leaders will be counted upon to affect corporate strategy and value, change management, business ethics, and execution performance.
Fewer than 50% of documented corporate strategies mention D&A as key components for delivering enterprise value, yet executives perceive information as a critical asset.
An information language barrier exists between organizations, rooted in ineffective communication across a wide range of diverse stakeholders.
Organizations that do not measure various aspects of information value have more difficulty developing business cases for information management and monetization initiatives.
Organizations that fail to develop and enforce formal ethical codes of conduct are at a greater risk of liability from the misuse of data science and AI.
Few organizations have implemented continuous intelligence capabilities, spanning multiple applications and business functions, because they lack the relevant skills.
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