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Why Kensho's Business Model is so successful?

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Kensho’s Company Overview


Kensho deploys scalable machine learning and analytics systems across the most critical government and commercial institutions in the world to solve some of the hardest analytical problems of our time.

www.kensho.com

Country: Massachusetts

Foundations date: 2013

Type: Private

Sector: Technology

Categories: Data and Analytics


Kensho’s Customer Needs


Social impact:

Life changing: self-actualization, motivation,

Emotional: reduces anxiety, badge value, attractiveness, provides access, design/aesthetics

Functional: saves time, simplifies, makes money, avoid hassles, reduces risk, organizes, integrates, connects, reduces effort, quality, informs, sensory appeal


Kensho’s Related Competitors



Kensho’s Business Operations


Benchmarking services:

Benchmarking is a technique for evaluating performance and gaining insights via data analytics. It may be used to conduct internal research on your firm or compare it to other businesses to enhance business processes and performance indicators following best practices. Typically, three dimensions are measured: quality, time, and cost. In this manner, they may ascertain the targets' performance and, more significantly, the business processes that contribute to these companies' success. The digital transformation era has spawned a slew of data analysis-focused software businesses.

Blue ocean strategy:

The blue ocean approach is predicated on the premise that market limits and industry structure are not predetermined and may be reconfigured via the actions and attitudes of industry participants. This is referred to as the reconstructionist perspective by the writers. Assuming that structure and market boundaries exist solely in managers' thoughts, practitioners who subscribe to this perspective avoid being constrained by actual market structures. To them, more demand exists, primarily untapped. The core of the issue is determining how to produce it.

Codifying a distinctive service capability:

Since their inception, information technology systems have aided in automating corporate operations, increasing productivity, and maximizing efficiency. Now, businesses can take their perfected processes, standardize them, and sell them to other parties. In today's corporate environment, innovation is critical for survival.

Combining data within and across industries:

How can data from other sources be integrated to generate additional value? The science of big data, combined with emerging IT standards that enable improved data integration, enables new information coordination across businesses or sectors. As a result, intelligent executives across industries will see big data for what it is: a revolution in management. However, as with any other significant organizational transformation, the difficulties associated with becoming a big data-enabled company may be tremendous and require hands-on?or, in some instances, hands-off?leadership.

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.

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.

Guaranteed availability:

Guaranteed availability is a property of a business system that attempts to maintain an agreed-upon level of operational performance, often uptime, for a longer time than is typical. The idea is often linked with terms such as high availability and catastrophe recovery.

Integrator:

A systems integrator is an individual or business specializing in integrating component subsystems into a unified whole and ensuring that those subsystems work correctly together. A process is known as system integration. Gains in efficiency, economies of scope, and less reliance on suppliers result in cost reductions and may improve the stability of value generation.

Layer player:

Companies that add value across many markets and sectors are referred to be layer players. Occasionally, specialist companies achieve dominance in a specific niche market. The effectiveness of their operations, along with their economies of size and footprint, establish the business as a market leader.

Market research:

Market research is any systematic attempt to collect data about target markets or consumers. It is a critical aspect of corporate strategy. While the terms marketing research and market research are frequently used interchangeably, experienced practitioners may want to distinguish between the two, noting that marketing research is concerned with marketing processes. In contrast, market research is concerned with markets. Market research is a critical component of sustaining a competitive edge over rivals.

Product innovation:

Product innovation is the process of developing and introducing a new or better version of an existing product or service. This is a broader definition of innovation than the generally recognized definition, which includes creating new goods that are considered innovative in this context. For example, Apple launched a succession of successful new products and services in 2001?the iPod, the iTunes online music service, and the iPhone?which catapulted the firm to the top of its industry.

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.

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.

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