To prevent shadow analytics solutions from spreading outside the organization, risk and compliance teams can use data loss prevention (DLP) tools. “Within an organization, robust and automated data controls can help identify data breaches or false positives in internal email communications,” Apshankar says.
Apshankar believes that the best way to combat shadow analytics is to build trust between IT and the business. “The business needs to view IT as a facilitator, not a blocker,” he says. “IT also needs to understand the importance of business requirements and not put technical KPIs ahead of revenue-driven KPIs.”
To effectively block shadow analytics, businesses need to armenia mobile database the root cause. “One consistent factor that allows shadow analytics to proliferate is the lack of a strong partnership between IT teams that are responsible for the data and the business functions,” says Karan. Business leaders typically report that IT often fails to provide access to the data they need to run their operations or make decisions. There is also sometimes a concern that the data is not available at the speed or frequency that business teams require. “What I hear from IT teams is that the business is unclear about its requirements or doesn’t know what it wants,” says Karan, adding that a strong, collaborative partnership is the best way to bring both sides together.
Do not chop
Despite its bad reputation, shadow analytics should never be banned entirely, Williams says. “It should be managed to meet both governance and security requirements and responsible FinOps requirements,” he advises.