continuous-intelligence-business-model

Continuous Intelligence Business Model

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

How Sumo Logic describes the process of continuous intelligence (Image Source: Sumo Logic S-1).

Continuous intelligence gets delivered as a service to enable continuous innovation. Below, some of the features that companies like Sumo Logic, describe it:

The platform of continuous intelligence is always on, scalable and secure. And it needs to have built-in, advanced analytics able to give real-time insights to the client’s firm.

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.
  • Security.
  • Ability to use the software across various departments within the same organization.

Connected Business Concepts

lean-methodology
The lean methodology is a continuous process of product development to meet customers’ needs. It was in part borrowed by the auto industry and its roots are found in the Toyota Production System, which was heavily influenced by Henry Ford’s assembly line system. The lean methodology is, therefore, an evolution from lean manufacturing, based on continuous improvement.
jidoka
Jidoka was first used in 1896 by Sakichi Toyoda, who invented a textile loom that would stop automatically when it encountered a defective thread. Jidoka is a Japanese term used in lean manufacturing. The term describes a scenario where machines cease operating without human intervention when a problem or defect is discovered.
scrumban
Scrumban is a project management framework that is a hybrid of two popular agile methodologies: Scrum and Kanban. Scrumban is a popular approach to helping businesses focus on the right strategic tasks while simultaneously strengthening their processes.
scrum-at-scale
Scrum at Scale (Scrum@Scale) is a framework that Scrum teams use to address complex problems and deliver high-value products. Scrum at Scale was created through a joint venture between the Scrum Alliance and Scrum Inc. The joint venture was overseen by Jeff Sutherland, a co-creator of Scrum and one of the principal authors of the Agile Manifesto.
crystal-agile-framework
The Crystal agile framework is a family of agile methodologies that were developed at IBM by Alistair Cockburn in 1991. The Crystal agile framework focuses on people over processes. It empowers project teams to find their own solutions and not be constricted by rigid methodologies.
agile-portfolio-management
Agile Portfolio Management (AgilePfM) is a high-level change management framework that ensures that business change strategy remains under continuous review. AgilePfM reviews changes in a business environment and then coordinates similar changes within the business itself.
agile-modeling
Agile Modeling (AM) is a methodology for modeling and documenting software-based systems. Agile Modeling is critical to the rapid and continuous delivery of software. It is a collection of values, principles, and practices that guide effective, lightweight software modeling.

Read Also: Business Models Guide, Sumo Logic Business Model, Snowflake Business Model, Unity Software Business Model, Business Strategy.

Published by

Gennaro Cuofano

Gennaro is the creator of FourWeekMBA which reached over a million business students, executives, and aspiring entrepreneurs in 2020 alone | He is also Head of Business Development for a high-tech startup, which he helped grow at double-digit rate | Gennaro earned an International MBA with emphasis on Corporate Finance and Business Strategy | Visit The FourWeekMBA BizSchool | Or Get The FourWeekMBA Flagship Book "100+ Business Models"