Democratizing data and analytics through self-service tools or dashboards helps provide a foundation for data-driven decision-making across the enterprise. But only 9% of the 100 executives we surveyed for our 2022 AI Strategy Priorities research say most of the staff in their organizations currently have access to relevant insights for their roles.
For the panelists at CDAO Fall Virtual, this statistic came as no surprise. They attributed this to factors including changes in how businesses consume data, persistent data silos and the fact that companies are dealing with more information than ever before.
Ali Bajwa, Director of Partner Engineering at cloud platform provider Cloudera, noted that this means information is spread often all over the organization, creating pockets of analytics that make it more difficult to extract insights across the full data at scale.
“We see this struggle between central and shadow IT a lot, where you have central IT thinking long-term and shadow IT trying to spin up whatever they need, whenever they need,” Rai agreed. “It takes a high level of governance in a company to avoid different groups trying to manage their own data and coming up with different data solutions.”
Vijay Venkatesan, Chief Analytics Officer at healthcare and health insurance provider Horizon Blue Cross Blue Shield of New Jersey, concurred: “A lot of organizations have pockets of analytics spread throughout them. So, when you ask what self-service really means, you’ll get different answers.”
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