Revenera has unveiled the Revenera Analytics Dashboard, which will provide customers of Revenera’s software monetisation platform with better insights into entitlements, licenses and usage insights.

Revenera monetisation customers can now track and analyse customer renewal potential, usage patterns, license and product utilisation with new embedded analytics.

Nicole Segerer, SVP and GM at Revenera, said: “Understanding software consumption and customer adoption is critical to any successful monetisation initiative. As a leader in the space, we enable software suppliers to innovate and make future packaging and pricing decisions based on data. The analytics capability offers easy-to-use insights for suppliers, and notifications and alerting based on monetisation and usage events.”

Revenera has modernised its data warehouse based on Snowflake technology and a new reporting framework to deliver more out-of-the-box reports focused on customer KPIs. First reports and visualisations include:

• Renewals Insight: End customer renewal position based on actual consumption of entitlements
• End Customer Adoption: End customer entitlements vs fulfilments
• High Water Mark: Showing consumption of licensable features by applications over time

“From a 2023 IDC survey, 53% of companies that have a recurring business model need better insights from usage data to understand customer value,” said Mark Thomason, research director for digital business models and monetisation at IDC. “Companies have the data, but they don’t have the time/knowledge to turn them into insights they can easily use.”

Revenera’s Analytics Dashboard delivers a new user interface, including navigation and controls; visualisations and data sets, conditional notifications and report sharing, all enabling insights and action based on data. The new dashboard is available to all FlexNet Operations customers.

Software and technology companies that monetise their solutions based on Revenera have access to an enhanced notification mechanism that enables them to react on usage events quickly and effectively.

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