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ONTROX
Osaka, Japan
A
1-10 Employees
2010
Key takeaway
ONTROX co., Ltd. specializes in Big Data Analysis, offering services that leverage extensive data processing and analytics capabilities.
Reference
Service
Service – Big Data Analysis | ONTROX co.,Ltd.
Teradata Japan, Ltd.
Tokyo, Japan
A
10001+ Employees
1979
Key takeaway
Teradata emphasizes the transformative power of data through its advanced cloud analytics and data platform, which provides harmonized data and trusted AI/ML to enhance decision-making. With a commitment to empowering organizations across various industries, Teradata enables companies to quickly capitalize on opportunities and gain valuable insights.
Reference
Core business
Enterprise Data Analytics for a Multi-Cloud World | Teradata
Teradata Vantage is the intelligent multi-cloud data platform that understands enterprise data from any source. See why top brands trusts Teradata.
DataMesh Japan
Tokyo, Japan
A
1-10 Employees
2017
Key takeaway
DataMesh株式会社 specializes in utilizing big data through innovative solutions like mixed reality (MR) content creation and IoT integration, particularly leveraging technologies such as HoloLens for enhanced training and promotional activities.
Reference
Core business
DataMesh株式会社 ‐ MR(複合現実)×ビッグデータ
DataMesh(データメッシュ)株式会社のウェブサイトです。HoloLens(ホロレンズ)を使ったMR(複合現実)のコンテンツ制作、プロモーション・教育トレーニング・IoT連携、ビッグデータ活用などを行っています。
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SMARTSCAPE Japan
Tokyo, Japan
A
- Employees
2003
Key takeaway
The company emphasizes the importance of effectively utilizing vast amounts of data, highlighting its integrated platform, SMARTSCAPE, which enables data-driven decision-making and problem-solving. It addresses the challenge of unutilized dark data by offering comprehensive analytics, monitoring, and operational capabilities for all types of enterprise data.
Reference
Product
データによる意思決定・課題解決プラットフォーム - SMARTSCAPE
多くの企業のデータは、依然として活用されていないダークデータのままです。Splunkはデータベースのような構造化されたデータに限らず、全ての企業を取り巻く膨大なデータを取り込み、データを活用した分析・調査・監視・運用が可能な統合データプラットフォームです。
ICONIC DATA Japan
Tokyo, Japan
A
51-100 Employees
2021
Key takeaway
ICONIC DATA is actively engaged in promoting a SaaS project that addresses corporate management challenges and enhances corporate value through automation. Their focus on data-centric solutions and innovative technologies positions them as a key player in leveraging big data for intelligent decision-making and operational efficiency.
Reference
Service
Services | ICONIC DATA
xenera
Tokyo, Japan
A
51-100 Employees
2020
Key takeaway
The company emphasizes the importance of leveraging data to gain a comprehensive understanding of business dynamics and to enhance scalability. Their focus on knowledge extraction and application development suggests a robust approach to utilizing big data for business growth and innovation.
Reference
Core business
Home | Xenera
Minedia
Tokyo, Japan
A
1-10 Employees
2018
Key takeaway
Minedia, Inc. emphasizes its expertise in technology and marketing through its EC Purchase Data Platform, which leverages zero-party data for qualitative insights and efficient data storage. This innovative approach to data management highlights the company's commitment to transforming business strategies through data-driven solutions.
Reference
Service
SERVICE | 株式会社マインディア
KPI Solutions
Osaka, Japan
A
1-10 Employees
2006
Key takeaway
The company emphasizes the transformative impact of the internet on marketing models and highlights its commitment to developing internet marketing technology. Notably, it offers a data management platform (DMP) called AD graph, which facilitates effective data-driven advertising, and utilizes big data analytics technologies powered by artificial intelligence.
Reference
Product
Technology | KPI Solutions
Egenera
Tokyo, Japan
A
101-250 Employees
2000
Key takeaway
Egenera is a cloud service provider that offers a robust Xterity Cloud platform designed to simplify the management of IT resources for organizations, making it an economical and flexible alternative to major players like Azure and AWS. Their platform, built on top-tier data centers, ensures high reliability and security, addressing common challenges related to data management and infrastructure.
Reference
Core business
Cloud Service Providers, MSP Cloud Services, ISV Cloud
Egenera's Xterity Cloud platform is the best alternative to Azure or AWS cloud. Egenera provides simple to use (IaaS) low cost cloud at a global scale with controllable and predictable costs and premium customer support experience. Get in touch to learn more!
Medical Data Vision Co.,Ltd.
Tokyo, Japan
A
51-100 Employees
2003
Key takeaway
MDV focuses on enhancing healthcare quality in Japan through the effective use of large volumes of real-world data, aligning with the growing expectations for Evidence-Based Medicine. They provide analyzed data sets related to drugs and diseases to pharmaceutical companies and research institutions, leveraging cloud-based services that allow for quick adaptations to changing medical information needs.
Reference
Service
Data-set Provision | Medical Data Vision Co., Ltd.
Technologies which have been searched by others and may be interesting for you:
A selection of suitable products and services provided by verified companies according to your search.
Product
edbic
Go to product
Service
EMCP
Go to product
A selection of suitable use cases for products or services provided by verified companies according to your search.
Use case
Continuous monitoring
Manufacturing
The challenge Blickle has always prided itself on the superior quality of its wheels and castors. To further enhance this quality with modern technology, the company decided to migrate its production processes to Industry 4.0 standards. This planned transition should have minimal impact on the three-shift production operation, while maintaining flexibility and openness for future digitalization initiatives. The solution Blickle IT developed a concept to enable a sustainable and gradual transformation. At the heart of the strategy is edbic, which enables condition monitoring. Acting as a central data hub, edbic seamlessly extracts data from the machines, transfers it to the ERP system and provides full production transparency. The result With the implementation of edbic, machine data no longer reaches IT incomplete or delayed. Immediate data analysis enables rapid problem resolution. Automatic punching presses are monitored to determine output results, missing parts, quantities and more. By eliminating most of the Excel lists previously used, edbic has significantly streamlined operations. In polyurethane production, edbic identifies and corrects problems, contributing to Blickle's high quality castors and wheels. In addition, edbic is now being used beyond production, facilitating connections to payment providers in the web shop and establishing a communication link with SAP. Outlook for the future Blickle plans to further refine the system by using machine data comparison for predictive maintenance. In addition, the company is considering implementing the compacer IoT gateway to take communication between machines and the ERP system to a new level of automation.
Use case
IoT gateway and Industry 4.0 application
Industry 4.0, Manufacturing
The challenge: BURKHARDT+WEBER is renowned for its expertise in large machining centres. Headquartered in Reutlingen, Germany, the company has a global presence and supplies its products to customers around the world who place a premium on quality. For 130 years, BURKHARDT+WEBER has focused on developing state-of-the-art production solutions for the demanding machining of steel, cast iron and titanium components. The development of these machining centres is the collaborative work of interdisciplinary teams, and all essential components, as well as in-house developments, are manufactured within the company. The compacer IoT solution, built on the edbic platform, is planned for future integration into BURKHARDT+WEBER machining centres. The installation of the compacer IoT gateway enables data collection from the machine's control system. In the long term, BURKHARDT+WEBER machines will offer a wide range of data that can be examined in real time to provide a detailed overview of the machine's condition and efficiency on a dashboard. The solution: An IoT hub will process the collected data, enabling a variety of assessments and ensuring that the operator is kept informed at all times. With machines connected to the compactor solution, condition monitoring is possible, paving the way for the implementation of predictive maintenance. With this approach, BURKHARDT+WEBER enables its customers to successfully implement upcoming digital transformation projects within their production processes.
Use case
Continuous monitoring
Manufacturing
The challenge Blickle has always prided itself on the superior quality of its wheels and castors. To further enhance this quality with modern technology, the company decided to migrate its production processes to Industry 4.0 standards. This planned transition should have minimal impact on the three-shift production operation, while maintaining flexibility and openness for future digitalization initiatives. The solution Blickle IT developed a concept to enable a sustainable and gradual transformation. At the heart of the strategy is edbic, which enables condition monitoring. Acting as a central data hub, edbic seamlessly extracts data from the machines, transfers it to the ERP system and provides full production transparency. The result With the implementation of edbic, machine data no longer reaches IT incomplete or delayed. Immediate data analysis enables rapid problem resolution. Automatic punching presses are monitored to determine output results, missing parts, quantities and more. By eliminating most of the Excel lists previously used, edbic has significantly streamlined operations. In polyurethane production, edbic identifies and corrects problems, contributing to Blickle's high quality castors and wheels. In addition, edbic is now being used beyond production, facilitating connections to payment providers in the web shop and establishing a communication link with SAP. Outlook for the future Blickle plans to further refine the system by using machine data comparison for predictive maintenance. In addition, the company is considering implementing the compacer IoT gateway to take communication between machines and the ERP system to a new level of automation.
When exploring the Big Data industry in Japan, several key considerations come into play. First, understanding Japan's regulatory landscape is crucial, as the country has strict data protection laws, including the Act on the Protection of Personal Information (APPI). Companies must navigate these regulations to ensure compliance. Additionally, the competitive landscape is robust, with both domestic firms and international players vying for market share. This competition drives innovation but also presents challenges in differentiation. Opportunities abound in sectors such as healthcare, finance, and manufacturing, where data analytics can significantly enhance efficiency and decision-making. However, the industry faces challenges, including a shortage of skilled professionals and the need for advanced infrastructure to handle large data volumes. Environmental concerns related to data centers and energy consumption are increasingly relevant as sustainability becomes a priority for businesses. Japan's unique cultural context also influences data usage, with a strong emphasis on consumer privacy and the ethical implications of data utilization. Moreover, as the global market for Big Data continues to expand, Japan's position as a technological leader offers avenues for collaboration and investment. Overall, thorough research into these factors will provide valuable insights for anyone looking to engage in the Big Data industry in Japan.
Some interesting numbers and facts about your company results for Big Data
Country with most fitting companies | Japan |
Amount of fitting manufacturers | 14 |
Amount of suitable service providers | 14 |
Average amount of employees | 51-100 |
Oldest suiting company | 1979 |
Youngest suiting company | 2021 |
Some interesting questions that has been asked about the results you have just received for Big Data
What are related technologies to Big Data?
Based on our calculations related technologies to Big Data are Big Data, E-Health, Retail Tech, Artificial Intelligence & Machine Learning, E-Commerce
Which industries are mostly working on Big Data?
The most represented industries which are working in Big Data are IT, Software and Services, Other, Consulting
How does ensun find these Big Data Companies?
ensun uses an advanced search and ranking system capable of sifting through millions of companies and hundreds of millions of products and services to identify suitable matches. This is achieved by leveraging cutting-edge technologies, including Artificial Intelligence.