COVID-19 Is changing analytics spending, with 97% of companies pursuing cloud-based analytics and collaboration technologies for the growing number of analytics professionals now working remotely.
Today, businesses expect analytics to be fast, scalable and easy to use. The key to achieve this is to empower business users and reduce reliance on centralized shared services. The primary challenge remains that only “80% of time [is] spent in cleansing and prepping data and 20% on actual analysis”, increasing the lead to deliver insights and reducing ability to action quickly.
An optimized analytics architecture helps reduce the degree of separation between data and business to bridge this gap. Gartner defines this as self-service analytics.
Here are key levers to optimizing self-service analytics to improve time to decision.