Company Introduction

DKM was established in 2012 and is committed to the development of big data industry ecology, specializing in research and development of big data. With the company's professional technical team and financial strength, it has continuously developed and introduced advanced Industrial application to all levels within the local and international big data industry.

The company operates within 35 industries in the areas of finance, real estate, retail, FMCG, e-commerce, high technology, biomedical, and smart cities, and has operations in the major cities within Asia-Pacific region, with business coverages in Singapore, Hong Kong, Beijing, Shanghai, Hangzhou, Suzhou, Guangzhou, Shenzhen, Changsha, Changchun, Wuhan, Xiamen, Chongqing, Nanjing, Chengdu, Qingdao, Zhengzhou and 17 other cities and plan to continue to expand into more service areas in the future.

The company operates a lean management structure and an engage in open communications network; relies on advanced data visualization technology, distributed database, cloud computing and global cloud file management system to achieve standardized operations and provide enterprise users with high-quality products and services effectively and efficiently. DKM aids enterprises in various industries to build their core capabilities on big data and cloud computing.

Industry Experience

DKM’s has been recognized and trusted by many corporate users for its professionalism. Over the years, DKM has accumulated various and numerous experiences in business intelligence services for multiple industries such as corporate management, finance, automobiles, retail, real estate, internet, logistics, energy, communications, medicine, e-commerce, and high technology.

Establish and develop industrial ecology

Since 2012, DKM had been providing data management “application” services for small medium enterprises while continuously gaining “hand-on” experiences to provide iterative capability support. Making use of "innovative technology + data culture" concept to improve data application capabilities for enterprises to accelerate digital transformation.

Platform for technology innovation

DKM provides small medium enterprises with full data management “application” services, and different technical products to meet different professional needs. From data environment deployment, data integration/API, data weaving/governance, data warehouse/cloud warehouse, statistical analysis to data analysis, predictive modeling, graph data platform and remote AI to meet various data application scenarios of enterprises.

Proven Methodology

  • Three main key concepts

    DKM provides enterprises with the latest data application methodology to help and assist them to avoid having obsolete information situation.

    Applying the three main key concepts of application "application-data-capability", it helps enterprises to construct a realistic and agile data system which avoid taking the wrong paths and detours, comprehensively improve enterprise data literacy; and through building data communities to build enterprises’ data culture. Transform enterprises digital transformation process.

  • Data literacy

    An important process in the digital transformation for enterprises is to improve the data literacy of organizations and individuals. More and more enterprises want to know how to effectively build data literacy. Based on the DKM accumulated experiences working with many enterprises, DKM created a competency model for data literacy, namely five kinds of abilities and one kind of consciousness, referred to as "five skills forces support with one knowledge domain".

    To comprehensively improve enterprise data literacy, the critical success factors are to customize for each individual and tailored made for each organization. Create the awareness of active use of data among all employees, understand the data-driven approach, and build agile analysis capabilities, data integration capabilities, business insight capabilities, organizational communication capabilities, and systematization capabilities according to different management levels and roles.

  • Supporting indicators

    To comprehensively improve enterprise data literacy, the critical success factors are to customize for each individual and tailored made for each organization. Create the awareness of active use of data among all employees, understand the data-driven approach, and build agile analysis capabilities, data integration capabilities, business insight capabilities, organizational communication capabilities, and systematization capabilities according to different management levels and roles.

    Take a large enterprise as an example:

    Daily average PV support indicator

    Number of analysts

    Number of analysis reports

    Number of data services

Passionate Community

DKM's team is full of passion and creativity, which enables their customers to grow together and keep pace with the times. DKM is committed to providing enterprises, organizations and individuals with a full range of data-related products, implementation, technical support, training and data culture construction through empowerment training.

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