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Why Seven Bridges's Business Model is so successful?

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Seven Bridges’s Company Overview

Seven Bridges is the biomedical data analysis company accelerating breakthroughs in genomics research for cancer, drug development, and precision medicine. The scalable, cloud-based Seven Bridges Platform empowers rapid, collaborative analysis of millions of genomes in concert with other forms of biomedical data. The world’s largest research institutions use Seven Bridges to help them analyze, store and act on genomic and other biological data.

Country: Massachusetts

Foundations date: 2009

Type: Private

Sector: Technology

Categories: Biotechnology

Seven Bridges’s Customer Needs

Social impact: self-transcendence

Life changing: self-actualization, provides hope

Emotional: reduces anxiety, provides access, badge value

Functional: saves time, simplifies, reduces risk, reduces cost, quality, informs, organizes, integrates, connects

Seven Bridges’s Related Competitors

Seven Bridges’s Business Operations

Collaborative production:

Producing goods in collaboration with customers based on their input, comments, naming, and price. It represents a new form of the socioeconomic output in which enormous individuals collaborate (usually over the internet). In general, initiatives based on the commons have less rigid hierarchical structures than those found on more conventional commercial models. However, sometimes not always?commons-based enterprises are structured so that contributors are not compensated financially.

Customer data:

It primarily offers free services to users, stores their personal information, and acts as a platform for users to interact with one another. Additional value is generated by gathering and processing consumer data in advantageous ways for internal use or transfer to interested third parties. Revenue is produced by either directly selling the data to outsiders or by leveraging it for internal reasons, such as increasing the efficacy of advertising. Thus, innovative, sustainable Big Data business models are as prevalent and desired as they are elusive (i.e., data is the new oil).

Digital transformation:

Digitalization is the systematic and accelerated transformation of company operations, processes, skills, and models to fully exploit the changes and possibilities brought about by digital technology and its effect on society. Digital transformation is a journey with many interconnected intermediate objectives, with the ultimate aim of continuous enhancement of processes, divisions, and the business ecosystem in a hyperconnected age. Therefore, establishing the appropriate bridges for the trip is critical to success.

Corporate innovation:

Innovation is the outcome of collaborative creativity in turning an idea into a feasible concept, accompanied by a collaborative effort to bring that concept to life as a product, service, or process improvement. The digital era has created an environment conducive to business model innovation since technology has transformed how businesses operate and provide services to consumers.

Data as a Service (DaaS):

Data as a Service (DaaS) is a relative of Software as a Service in computing (SaaS). As with other members of the as a service (aaS) family, DaaS is based on the idea that the product (in this instance, data) may be delivered to the user on-demand independent of the provider's geographic or organizational isolation from the customer. Additionally, with the advent[when?] of service-oriented architecture (SOA), the platform on which the data sits has become unimportant. This progression paved the way for the relatively recent new idea of DaaS to arise.

Open business:

Businesses use the open business approach to incorporate goods and services ecosystems from third parties that operate inside the same market framework. Collaboration between companies has the potential to increase the value delivered to the end customer or user. Software developers and platform integrators often use this business model.

Trading data:

Combining disparate data sets enables businesses to develop a variety of new offerings for complementary companies. Robustness is a property that describes a model's, test's, or system's ability to perform effectively when its variables or assumptions are changed, ensuring that a robust concept operates without fail under various conditions. In general, robustness refers to a system's capacity to deal with unpredictability while remaining practical.

Platform as a Service (PaaS):

Platform as a Service (PaaS) is a class of cloud computing services that enable users to create, operate, and manage apps without the burden of establishing and maintaining the infrastructure usually involved with designing and developing an app.

Software as a Service (SaaS):

Software as a Service (SaaS) is a paradigm for licensing and delivering subscription-based and centrally hosted software. Occasionally, the term on-demand software is used. SaaS is usually accessible through a web browser via a thin client. SaaS has established itself as the de facto delivery mechanism for a large number of commercial apps. SaaS has been integrated into virtually every major enterprise Software company's strategy.

Technology trends:

New technologies that are now being created or produced in the next five to ten years will significantly change the economic and social landscape. These include but are not limited to information technology, wireless data transmission, human-machine connection, on-demand printing, biotechnology, and sophisticated robotics.

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