ABeam AI Achievement / Case Study

Achievement

Manufacturing industry / machinery

Use of AI in steering safety research (HC analysis training)

The client was considering ways of acquiring data analysis technology and operational analytics know-how. We therefore provided an overview of the basics of statistical analysis and machine learning, and introduced our method of statistical analysis. Using data with which the client was comfortably familiar, we implemented comprehensive analysis training including data preprocessing from analytical statistics, and consideration of interpretation and implementation of the results. This contributed to deeper understanding and learning from the perspective of data utilization in business and our approach to data analysis.

  • Value chain

  • Personnel&organization

  • Data used

  • Mechanical data

  • Service menu

  • Strengthening AI capabilities

  • Analysis method

  • Cluster analysis/time series analysis


Sales prediction for consideration of new ice-cream vending machine positioning

Since the client had been basing decisions about the opening of small-scale retail locations on personal knowledge, there were disparities between prediction and actual value in installing. We constructed a sales prediction model using statistical analysis based on the results of field survey results and various types of statistical data. The model was then adapted to retail location sales prediction tools so that it would be available to each person in charge. As a result, we enabled optimization of the opening of small-scale retail locations.

  • Value chain

  • Marketing

  • Data used

  • Business area data

  • Service menu

  • Data-driven consulting

  • Analysis method

  • Regression analysis, etc.


Construction of a defective product recognition algorithm

Resin processing (extrusion molding) gave rise to quality management items that made inspection impossible without skilled technicians. In order to enable anyone to notice abnormalities at the same level of expertise as skilled technicians, we performed verification to detect abnormalities using image analysis with a proprietary algorithm. In this way, we achieved detection precision of about 90%, which is considered sufficient for industrial use.

  • Value chain

  • Procurement /
    manufacturing

  • Data used

  • Image data

  • Service menu

  • AI technology adoption support

  • Analysis method

  • Image analysis


On-site data analysis POC for sanitary ware manufacturing

Circumstances demanded improvement of production quality, but there were issues that hindered progress in this effort: the time that could be devoted to such efforts was limited, as was the number of members with the necessary expertise. We therefore addressed quality improvement by ascertaining the true cause of quality deterioration, thereby using data that would enable anyone to appropriately improve quality. We constructed an analytics system that enables anyone to derive trends from data that is acquired and accumulated from each process.

  • Value chain

  • Procurement /
    manufacturing

  • Data used

  • Facilities data / quality data / image data

  • Service menu

  • AI technology adoption support / ABeam AI infrastructure provision / IoT data utilization

  • Analysis method

  • Deep learning, etc.


Analysis support, representation (updates using machine learning of synonym dictionaries)

The client had been measuring the effects of product reviews, advertising and events, but the online emergence of countless product synonyms (nicknames), and their constant change led to an enormous workload and a deterioration of analysis quality. We used deep learning technology to develop a proprietary technique of forming synonym lists from online information simply by entering formal product names. This made it possible to greatly reduce workload and ensure analysis quality.

  • Value chain

  • Marketing

  • Data used

  • Social media data /
    Web data

  • Service menu

  • AI POC support

  • Analysis method

  • Deep learning


Gathering social data in eight Southeast Asian countries

The client was considering ways of including domestic and international competitive information to measure the effects of product reviews, advertising and events both comprehensively and in real time. We built a system that uses social media data from eight countries in ten languages to gather information and automatically generate reports. Daily and weekly report auto-generation functions enabled a real-time grasp of information.

  • Value chain

  • Marketing

  • Data used

  • Social media data

  • Service menu

  • AI POC support

  • Analysis method

  • Natural language processing / deep learning


Business conversation analysis technology/tool POC

The client was considering improving its sales activity customer service responses. We defined value for the customer from the standpoint of sales activities, and applied four types of analytical technology (converting voice recognition to text, emotion analysis, excitement analysis and topic analysis) necessary in successfully providing that customer value. By clarifying the true desires of the customer that could be difficult even for a human to detect, the quality of customer service responses was improved.

  • Value chain

  • Marketing / sales

  • Data used

  • Voice data

  • Service menu

  • AI POC support

  • Analysis method

  • Natural language processing


Launching a data analysis support organization within an IT department

The client, a major manufacturing firm, sought a definitive conceptualization of the role that corporate headquarters should play in the diverse data utilization efforts that were being advanced worldwide, and a record of its contributions. We provided data analysis technology training and worked jointly in collaboration on the most recent projects, in addition to compiling definitive human resource concepts and topic areas required in data utilization. Through these efforts, the company was able to clarify the methods, the value and the key aspects of providing the practical cooperation that was a part of their corporate culture. Through organized compilation of analytical standards, it became possible to deploy this effort companywide.

  • Value chain

  • IT

  • Data used

  • -

  • Service menu

  • Strengthening AI capabilities

  • Analysis method

  • -


Companywide upgrades of data analysis quality through general normalization of analysis scripts and automation of fixed tasks

Although the client was implementing numerous data analyses worldwide, they had issues with production costs of regular reports and insufficient use of past analytical assets. While automating fixed tasks through the use of RPA, we worked on dissemination and normalization of analysis scripts that were under consideration for common use. Through these efforts, they managed to share analysis scripts for quite a significant portion of numerous projects, both domestically and overseas. The result was that, in addition to reducing workload, they were able to reduce the inconsistency of quality among their analyses, and improve the sharing of technological improvements.

  • Value chain

  • Marketing

  • Data used

  • Social media data

  • Service menu

  • Strengthening AI capabilities

  • Analysis method

  • Deep learning/natural language processing/network analysis, etc.


Functional verification of voice-recognition AI

The client was engaged in numerous efforts with respect to voice recognition technology. But they had been using different voice recognition technologies for each of these projects, which required them to spend much time in making selections for each project. We therefore had them perform evaluations and selections of technologies, including some they had not yet tried. By thus establishing a policy on what kind of technology or product to use in what situation, they became able to perform new verifications easily.

  • Value chain

  • IT

  • Data used

  • Voice data

  • Service menu

  • AI POC support

  • Analysis method

  • Voice analysis


Optimizing company-internal IT department activities through natural language processing

The IT department had administered a large-scale internal questionnaire survey to address the fact that it had a poor reputation among the operational business departments. But it ran into difficulty extracting issue features and causal factors from the massive volume of content elicited by free-response survey questions. So, although they wanted to conduct a survey, they had been unable to obtain appropriate clues from the results. The application of natural language processing made it possible to extract evaluations of the IT department and the distinctive features of issues from the free-response survey content, and thereby to derive clues for response policies.

  • Value chain

  • IT

  • Data used

  • Questionnaire data

  • Service menu

  • Data analysis BPO

  • Analysis method

  • Natural language processing/factor analysis, etc.


Manufacturing industry / chemistry

Data analysis training for company-internal development of high-level information technicians

The client was considering providing education for its employees who had been doing their own analysis, with a view to enabling them to systematize their data analysis on their own. We therefore provided an overview of the basics of statistical analysis and machine learning, and explained methods of statistical analysis. We implemented comprehensive analysis training including data preprocessing from analytical statistics, and consideration of interpretation and implementation of the results. Moreover, we supported member trainees in their efforts to define analytical themes and implement analyses so that they would then be able to conduct data analyses of their own on matters relevant to their work.

  • Value chain

  • Personnel/organization

  • Data used

  • Mechanical data

  • Service menu

  • Strengthening AI capabilities

  • Analysis method

  • Regression analysis/
    cluster analysis, etc.


Pharmaceutical

AI-based data analysis education enabling high-level technology provision

The client department had been established as a specialized unit tasked with providing sophisticated technological information. The issue they faced was a lack of their own practical techniques for providing that high-level information. We provided basic technical training in data analysis and imparted an understanding of analytical processes based on our company's framework. Through this training, the client was able to discover knowledge and insights into the prepared data which they had been unable to realize through previous training.

  • Value chain

  • Marketing/sales

  • Data used

  • Medical examination data

  • Service menu

  • Strengthening AI capabilities

  • Analysis method

  • Decision tree analysis /
    cluster analysis, etc.


Finance

Production of priority visit lists

The client was considering enhancing its activities to prevent policy cancellations. HyperCube analysis was used to analyze past cancellation trends and build a model to predict future cancellation risk. A list of policyholders with a relatively strong tendency to cancel was produced, increasing the efficiency of cancellation prevention activities.

  • Value chain

  • Marketing

  • Data used

  • Customer data

  • Service menu

  • Data analysis BPO

  • Analysis method

  • HyperCube analysis[a]


New policy assessment POC using ML / HyperCube analysis using ML for more sophisticated new policy assessment, Phase 2

A reduction of operational costs was under consideration, including the automation of underwriting assessment work for new insurance policies that had previously been performed by personnel. HyperCube analysis and other machine learning techniques were used in building an underwriting assessment model that could generate results close to those produced by personnel. This made it possible to provide suggestions leading to reduction of operational costs.

  • Value chain

  • Contracts

  • Data used

  • Customer data

  • Service menu

  • AI POC support

  • Analysis method

  • HyperCube analysis[a] /
    decision tree analysis


Dealing with AML

The client was considering improvements in anti-money-laundering (AML) operations, which had come to entail an increasingly enormous workload. In order to identify the cause, we conducted wide-ranging interviews with on-site department managers, analysts, IT department personnel and others regarding organization, culture, processes and systems. Using this as input, we produced a short-term and medium-term roadmap. Improvements implemented according to the roadmap led to AML transaction monitoring optimization.

  • Value chain

  • Overall management

  • Data used

  • -

  • Service menu

  • Support for data infrastructure construction and business process reengineering

  • Analysis method

  • -


Addressing transaction data utilization, etc.

The client was considering improving profits by increasing the accuracy of transaction history visibility. We applied natural language processing techniques to the matching of detailed product information with master data, which the client had not been able to link before. While increasing the accuracy of transaction results visibility, they succeeded in improving profits by identifying low-profit merchandise and circumstances giving rise to opportunity loss. This enabled a reallocation of investments and inventory distribution to emphasize high-profit products.

  • Value chain

  • Procurement /
    manufacturing

  • Data used

  • Transaction data /
    product data

  • Service menu

  • Data-driven consulting

  • Analysis method

  • Natural language
    processing


Analysis of scandals and product quality improvement

The client had been promoting quality improvement activities at its sales agencies, and was considering business process improvement through data analysis. We performed analysis on agency operational quality data, and quantified the risk factors for occurrence of scandals. This enabled the formulation of a plan to improve the pattern of occurrence of such incidents, achieving more sophisticated agency quality management operations.

  • Value chain

  • Marketing / sales

  • Data used

  • Policy data

  • Service menu

  • Data analysis BPO

  • Analysis method

  • HyperCube analysis[a]


Sales staff hiring attack list (administrative department)

The client aimed to hire and retain as many excellent sales employees as possible. HyperCube analysis was used to construct a model that used hiring event participant data and other information to predict which employment candidates had the greatest probability of being hired and remaining stably in place over the long term. This made it possible to refine hiring activities.

  • Value chain

  • Personnel / organization

  • Data used

  • Policy data /
    event data

  • Service menu

  • Data-driven consulting

  • Analysis method

  • HyperCube analysis[a]


Pattern search analysis for optimal insurance product design descriptions

The client was aiming to reduce the operational cost of producing insurance product design descriptions, while increasing the associated policy sales closing rates. We used a nearest-neighbor calculation method that we developed, providing recommendations for insurance product design descriptions and constructing a searchable recommendation scheme. We recommended insurance product design descriptions with the highest likelihood of policy contract sales for individual customers. Searches became more quickly executable, leading to major reductions in operational costs and also contributing to higher policy sales closing rates.

  • Value chain

  • Marketing / sales

  • Data used

  • Policy data

  • Service menu

  • AI technology adoption support

  • Analysis method

  • Nearest-neighbor calculation method


Second-life consulting tool development

The client was considering reducing the operational burden involved in providing individual existing policyholders with estimates of their policy cancellation refund amounts. We developed a tool by which policy data and calculated information enabled users to search current policyholder cash value and print it out in the form of a proposal, thus increasing operational efficiency.

  • Value chain

  • After-sale service

  • Data used

  • Policy data

  • Service menu

  • AI technology adoption support

  • Analysis method

  • -


AI voice analysis platform development

Recent years have seen increasing demand for analysis of voice data in such applications as AI-powered conversation evaluation and automated recording of conference proceedings. We therefore developed an AI voice analysis platform to handle tasks such as voice recognition and sentiment analysis. In addition to company-internal voice data analysis, we are moving forward with development of applications in which AI automatically evaluates the good and bad aspects of business talk using platform functionality.

  • Value chain

  • R&D

  • Data used

  • Voice data

  • Service menu

  • ABeam AI infrastructure provision

  • Analysis method

  • Deep learning


Data governance support (operational support for document organization and data control)

The client was considering data governance activities focused on group risk management data. In order to ensure quality throughout the entire risk management data lifecycle, we set up operational systems including data dictionary compilation, data lineage documentation and data quality monitoring. This helped instill data governance activities companywide.

  • Value chain

  • Overall management

  • Data used

  • Risk management data

  • Service menu

  • Information governance build-up support

  • Analysis method

  • -


Optimization of collection operations, Phase 2

The client was considering how to increase collection rates and reduce costs associated with billing reminders addressed to delinquent customers. We used AI to calculate response scoring, then individualized collection methods based on response scores, making it possible to reduce costs and boost collection rates.

  • Value chain

  • After-sale service

  • Data used

  • Contract data /
    customer data, etc.

  • Service menu

  • Data-driven consulting

  • Analysis method

  • HyperCube analysis[a] / deep learning / decision tree analysis, etc.


Excellent LA activity model production

Given that the client was having difficulties in securing sales personnel, they were considering ways of improving the performance of individual sales staff members. We applied HyperCube analysis to daily report data (sales activity data), and constructed a model of activities of high-performance sales staff members. We used this model to enhance sales personnel guidance and education, making it possible to increase sales staff performance.

  • Value chain

  • Marketing / sales

  • Data used

  • Sales activity data

  • Service menu

  • Data analysis BPO

  • Analysis method

  • HyperCube analysis[a]


New service release PMO support

The client sought know-how that would help them move forward with an AI systems development project aimed at achieving their goal of early release of AI services for retail use. We applied our AI systems implementation methodology to isolate and categorize critical items for consideration in project definition and design. Rapid implementation factors also included features such as the establishment of a process for accuracy evaluation, etc. By optimally organizing the results and project, they achieved short-term service release.

  • Value chain

  • Marketing / sales

  • Data used

  • -

  • Service menu

  • AI technology adoption support

  • Analysis method

  • -


Data scientist education & training / data analysis application support

Aiming to establish a company-internal analysis organization, the client was considering how to train analytical team members. Since it was necessary to train members with little data analysis experience, we began the data analysis personnel training with analysis implementation led by our consultants. We then phased in client-led analysis gradually, rather than launching directly into having team members train and perform analysis. Rather than conveying knowledge in isolation, data analysis OJT was conducted along the lines of practical work, which succeeded in training personnel who could immediately apply their analytical know-how operationally.

  • Value chain

  • Personnel &
    organization

  • Data used

  • Customer data

  • Service menu

  • Strengthening AI capabilities

  • Analysis method

  • Random forest


Data analysis training for company-internal development of high-level information technicians

Dashboard construction PoC for more sophisticated AML alert detection using statistical methods

As the methods employed by criminals grow in complexity, high-risk clients can be overlooked by conventional rule-based approaches (fixed "if/then" rule sets). In order to improve the situation, we constructed and tested a dashboard prototype to determine whether a solution could be found in detection methods using statistics.

  • Value chain

  • AML

  • Data used

  • Transaction data

  • Service menu

  • AI POC support

  • Analysis method

  • Pattern matching


Constructing an effective sales activity model for improved project development rates

The customer withdrawal rate at the corporate sales project development stage was becoming an issue for the client, so they were trying to come up with a more effective sales activity model. Analysis of sales activity data enabled us to clarify the features of activities conducive to project development. By building these hints into the sales management system, we succeeded in raising the rate of project development.

  • Value chain

  • Marketing / sales

  • Data used

  • Sales activity data

  • Service menu

  • AI POC support

  • Analysis method

  • HyperCube analysis[a]


Increasing policy contract rates by building a model for automated production of insurance product design description

In their proposal-based sales effort, the client had been spending enormous amounts of time producing insurance product design descriptions tailored to customers' circumstances. They were also having issues with producing product design descriptions that were a good fit for their customers. By analyzing data from past insurance product design descriptions, we built a model for automatically extracting the conditions that made insurance designs conducive to policy signings, which contributed to an increase in the policy contract rate.

  • Value chain

  • Marketing/sales

  • Data used

  • Policy data

  • Service menu

  • AI POC support

  • Analysis method

  • HyperCube analysis[a] /
    decision tree analysis


Support for various PoC implementations at AI headquarters

With numerous AI-related projects in progress, the client was facing an issue with projects stalling just before the PoC stage, and with failure to move ahead to full-fledged implementation after PoC. We got involved with each project from the planning stages, formulating AI implementation policies that were in keeping with the actual state of business operations in user departments, while also planning and executing suitable PoC plans with full-fledged implementation in mind. We thereby achieved an increase in AI projects that made it through to full-scale implementation.

  • Value chain

  • Personnel/organization

  • Data used

  • Voice data / minutes /
    search log data

  • Service menu

  • AI POC support

  • Analysis method

  • Voice analysis / natural
    language processing


Increasing debt recovery rates with AI

The client was an overseas financial institution that was experiencing problems with a declining debt recovery rate and high collection costs. They were able to see that AI-based identification of the causes of non-payment and collection approaches tailored to customers could be expected to greatly increase effective collection rates. Ever since then, we have been working together to steadily refine their collection process.

  • Value chain

  • After-sale service

  • Data used

  • Customer data/payment data, etc.

  • Service menu

  • AI POC support

  • Analysis method

  • HyperCube analysis[a]


Boosting sales through analysis of characteristics of customers with high insurance policy contract probability

Amid stagnating insurance policy contract numbers due to negative interest rates, etc., the client needed to strengthen sales proposals to increase policy signings We performed HyperCube analysis and leveraged the enormous masses of data that lay dormant within the company to derive characteristics that identify customers with a high likelihood of taking out insurance contracts. The client was thereby freed from sales methods reliant on hunch and experience, and achieved more effective sales activities.

  • Value chain

  • Marketing/sales

  • Data used

  • Customer data/Sales activity data/policy data/payment data

  • Service menu

  • AI POC support

  • Analysis method

  • HyperCube analysis[a]


Optimizing coverage design production for new customers

We analyzed the data record of past proposals to determine how to produce assurance coverage design content that would be most effective for new customers. From the results of the analysis, we formulated guidelines for creating proposals to suit the detailed attributes and coverage needs of the subjects of new proposals.

  • Value chain

  • Marketing

  • Data used

  • Customer data

  • Service menu

  • Data analysis BPO

  • Analysis method

  • Cluster analysis/
    decision tree analysis


Increasing revenue through marketing tactics using data analysis

In order to increase revenue contribution and productivity, we studied marketing tactics that apply customer data and past sales records. For in-person sales, we performed purchase forecast analyses of structured bonds and investment trusts, and produced a sales approach list. The result was a contribution to increased revenues through factors such as preventing the loss of good customers. For non-face-to-face sales, we conducted individualized mailings to good customers defined through data analysis, effectively boosting sales.

  • Value chain

  • Marketing

  • Data used

  • Customer data/
    Sales record

  • Service menu

  • Data analysis BPO

  • Analysis method

  • Cluster analysis/
    correspondence analysis/association analysis


Establishing a corporate group DX promotion framework

With its DX promotion department at corporate headquarters, the client was emphasizing the promotion of DX as a mission to be pursued at each of its group companies. In advancing the promotion of DX, they were seeking data analysis skills and promotional know-how. We led the effort to derive PoC formulation, analysis and implementation steps to advance the promotion of DX. We constructed the necessary framework, and even realized a transfer of know-how.

  • Value chain

  • Corporate plan/Mid-term management plan/Business plan

  • Data used

  • Customer data

  • Service menu

  • Strengthening AI capabilities

  • Analysis method

  • Regression analysis


Sales role-playing using VR

The client was conducting role-playing training for its insurance sales personnel, with staff members playing the role of "customer". However, they were having difficulty with quantitative evaluation, and felt that a lack of genuine realism compared to the actual sales workplace was an issue. We used AI with VR technologies to develop a sales role-playing app. While the use of VR technology made it possible to provide a realistic sense of the actual sales workplace, the app converted sales staff conversation into text using voice recognition technology, then applied natural language processing technology to enable evaluation of the content of their utterances.

  • Value chain

  • Finance

  • Data used

  • Voice data

  • Service menu

  • AI POC support

  • Analysis method

  • Voice analysis/natural
    language processing


Transportation / logistics

Integrated safety management system function operation and maintenance (2017) 4

The client was considering how they could use accident-related data to prevent accidents from occurring. We applied HyperCube analysis and text mining to provide a system for easy-to-understand determinations of accident probability under specified conditions, and of factors that increase and decrease the likelihood of accidents. This made a data-based safety management system possible.

  • Value chain

  • Maintenance

  • Data used

  • Accident / safety-related data

  • Service menu

  • ABeam AI infrastructure provision

  • Analysis method

  • HyperCube analysis[a] /
    natural language processing


Information / Technology

Technical supervision involving AI functions for company products

The client was a data communications firm developing human resources systems management software. Although they had for many years been engaged in internal discussions about how to boost the value of their software by adding AI-powered functions, technical issues and apprehensions about how to go about building in these features had prevented them from actually doing so. ABeam's technical review and method of incorporating AI, as well as our discussions of AI operation, led to the successful establishment of an incorporation method and development schedule.

  • Value chain

  • Product design
    and development

  • Data used

  • Personnel data

  • Service menu

  • AI technology adoption support

  • Analysis method

  • Neural network, etc.


Food

Building organization/systems for more sophisticated CRM

The marketing headquarters needed customer a segmentation design to accomplish its CRM measures. We contributed to more sophisticated CRM measures by performing customer segment analysis and deriving marketing measures accordingly. We also took charge of the process from design to practical implementation of the necessary data analysis environment.

  • Value chain

  • Marketing

  • Data used

  • Customer data

  • Service menu

  • Support for data infrastructure construction and business process reengineering

  • Analysis method

  • Segmentation analysis


Life/Public

Support for establishing a data science organization

The corporate client needed their own customer analysis centering on POS data to achieve their aims of increasing sales and revenue. We carried out data analysis PoC, and performed an evaluation of the necessary data analysis skills and tools in light of the results. We then supported the production of the roadmap and launch schedule necessary to establish a data science organization.

  • Value chain

  • Marketing

  • Data used

  • POS data

  • Service menu

  • Strengthening AI capabilities

  • Analysis method

  • Regression analysis


Other

Using statistical data to detect illicit transactions

The client was considering more sophisticated GRC tools that could function cross-sectionally, traversing disparate company-internal groups. We applied our specialized knowledge and experience of statistical analysis and pattern mining to financial and non-financial data of each operational process, thereby quantifying risks associated with each operation to generate a heat map that brought cross-sectional visibility to business operations.

  • Value chain

  • Overall management

  • Data used

  • Financial data / non-financial data

  • Service menu

  • Data-driven consulting

  • Analysis method

  • Pattern mining, etc.


TPS BI tool expansion project, PA implementation

The client was considering how to move away from personnel-based product shipment planning reliant on the experience of each manager. By applying AI technology to predict model development, we were able to realize shipment planning with greater accuracy than before. Also, by making use of cloud-based AI visualization services, we were able to realize a system for complete and consistent execution of the PDCA cycle for data accumulation, prediction model construction, and prediction model improvement.

  • Value chain

  • Logistics

  • Data used

  • Product shipment data

  • Service menu

  • Support for data infrastructure construction and business process reengineering

  • Analysis method

  • Time series analysis


ABeam Cloud Talks

The client was considering how to reduce workload, accumulate know-how and elevate user satisfaction levels with respect to the handling of inquiries performed by personnel. We compiled issues to address in the field of travel expenses, and by automating inquiry FAQ responses using an AI chatbot, we made it possible to reduce workload, accumulate know-how and elevate user satisfaction levels.

  • Value chain

  • After-sale service

  • Data used

  • Inquiry history data

  • Service menu

  • AI technology adoption support

  • Analysis method

  • Natural language processing


SWI personnel data analysis

The client was considering utilizing data accumulated internally for the purpose of early detection of signs of impending retirement. We used HyperCube analysis to grasp behavioral characteristics associated with retirement, enabling an early approach to those who triggered concerns that they might retire, thus lowering the retirement rate.

  • Value chain

  • Personnel / organization

  • Data used

  • Personnel data

  • Service menu

  • Data-driven consulting

  • Analysis method

  • HyperCube analysis[a]


Joint research with Waseda University (collaboration with academia)

In conjunction with Waseda University's Intelligent Performance Analysis Laboratory (IPAL), we initiated a joint research project on sports performance data analysis in order to promote the utilization of on-site sports data. Together with the start of the project, we constructed an analytics platform for the implementation of each form of analysis.

  • Value chain

  • R&D

  • Data used

  • Kinematic, psychological,
    neuroscientific data /
    performance data

  • Service menu

  • ABeam AI infrastructure provision

  • Analysis method

  • -


KENKO'S AI solution

In order to improve employee health and productivity, we combined corporate operational information with employee health information to initiate a service that reports the results of statistical key performance indices (KPI) for health management together with correlation analysis results.

  • Value chain

  • Personnel / organization

  • Data used

  • Medical check-up data /
    performance data, etc.

  • Service menu

  • Data-driven consulting

  • Analysis method

  • HyperCube analysis[a]


Consideration of measures to reform AB personnel arrangements and work styles

The client was considering the creation of an environment and systems that would be easy for employees to work in. We used text data from employee satisfaction survey results, then analyzed work-style issues faced by employees with low satisfaction levels and those with low proportions of value-added activities. This led to the discovery of new issues that cause low productivity, and brought to light the need to inform employees about the personnel system. It thereby enabled the client to undertake effective remedial measures.

  • Value chain

  • Personnel / organization

  • Data used

  • Questionnaire data

  • Service menu

  • Data-driven consulting

  • Analysis method

  • Natural language processing / cluster analysis


[a] Hyper Cube analysis: a method of multidimensional search analysis that uses exhaustive, comprehensive searches of the multidimensional data space to enable identification of the conditions giving rise to phenomena of interest.

 

Case Study

ABeam Consulting has delivered various kinds of data analytics projects using various kinds of data such as purchase history data, sensor data, text data, voice data, image data and so on, with cutting edge data analytics technologies. We can also help clients to utilize data in a full manner for all data related area such as people, organization, process, IT system based on our massive experiences.

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