The business intelligence models have transitioned to continuous intelligence, where dynamic technology infrastructure is coupled with continuous deployment and delivery to provide continuous intelligence. In short, the software offered in the cloud will integrate with the company’s data, leveraging on AI/ML to provide answers in real-time to current issues the organization might be experiencing.
Sumo Logic and the rise of continuous intelligence
Continuous intelligence gets delivered as a service to enable continuous innovation. Below, some of the features that companies like Sumo Logic, describe it:
Therefore some of the features of the continuous intelligence business model are:
- Always on, current, scaling, elastic, learning (through advanced machine learning algorithms), and secure service.
- Built-in, advanced analytics, uncovering patterns, and anomalies across the entire infrastructure and/or application stack.
- Delivered via a subscription-based revenue model, coupled in some cases with consumption-based APIs.
Another key element of the Continous Intelligence Business Model is its real-time component:
- Speed to value (fast to deploy).
- Speed to resolution (fast troubleshooting).
- Speed to discipline.
Continuous Intelligence to achieve Continuous Innovation
Continuous Intelligence is tied to the trend of continuous innovation achieved through:
- Cloud-based software is integrated within the firm’s data pipelines.
- Speed to investigate, solve issues, and fix them in real-time.
- Ability to use the software across various departments within the same organization.
- Read Also: Business Models Guide, Sumo Logic Business Model, Snowflake Business Model, Unity Software Business Model, Business Strategy.