We have four business areas and provide consistent services and consulting services based on specialized knowledge and experience based one by developing specialized business in those areas and complementing and synergizing each of them. Also, we provide BtoB and BtoG business supports by engaging in specific businesses and operations either separately or in collaboration/partnership.
Furthermore, we are of a research and development company and provide Proof of Concept (POC) supports such as interdisciplinary ones, commercialization and social implementation.
Because of increase of Internet usage and penetration of the Internet of Things (Iot) in many fields, the generation, the collection and the accumulation of large amounts of Big Data is made exponentially.
Under such circumstances, data have long been said to be the resources of the 21st century, and not only the amount of data, but also the quality including the abundance of its types, processing speed and the accuracy is important in order to improve the accuracy of AI analysis and generate value and profit.
We follow various problems in data utilization, build a data-driven society, create evidence to support decision making, and so engage in data science consulting work that has a positive impact on customer profits and business progress.
・ Government offices, Public institutions, Local governments
・ Corporations/Private companies
・ Research /educational institutions
Service to offer:
Data Science Buisiness Liaison& Solution Partner unit(DSBL&SPU)
Cross-industry standard process for data mining (CRISP-DM) development:
1) Understanding of the business, customer concepts and requirements → 2) Clarification of objectives and project plans → 3) Analysis and verification of data collection and data input, confirmation and determination of data used → 4) Data preparation, (data cleaning) And data set preparation) → 5) Data modeling (selection of optimal data and algorithm, trial, modeling, parameter setting → 6) Result verification, resetting of conditions and parameters → verification of business plan and verification results, process review Developing a response plan → 7) Developing a deployment plan, maintaining, formulating an operation plan, and formulating a final report
1) Organization of the concepts and conditions → 2) Design → 3) Design execution → 4) Data and output check and verification → 5) Deployment and demonstration
Agile or cycle approach development:
1) Understanding of the business plan → 2) Understanding of the data → 3) Data preparation and development → 4) Modeling → 5) Assessment → 6) Deployment → Implementation as a series of loops
Data Utilization Business
Use cases of Data Utilization Business(Weather data drive)