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Top Big Data Companies in United States

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60 companies for Big Data in United States

Delta Data's Logo

Delta Data

Columbus, United States

B

101-250 Employees

1985

Key takeaway

Delta Data Distribution Solutions focuses on simplifying the servicing and trading of assets in pooled investment products, enhancing transparency and efficiency in the relationship between asset managers and distributors. Their comprehensive control analysis and in-depth reviews of intermediary audit reports significantly improve compliance and streamline operations.

Highlighted product

Product

Portfolio - DeltaData

Bean Data's Logo

Bean Data

Gray, United States

B

1-10 Employees

2015

Key takeaway

Bean Data specializes in providing professional and affordable technology solutions, which may include data services. Their focus on creating a technologically sound work environment and offering support for information technology needs aligns with the interests related to Big Data.

Highlighted product

Service

Data Services | Bean Data

DataBP's Logo

DataBP

New York, United States

B

11-50 Employees

2013

Key takeaway

DataBP is a leader in market data commercialization, offering a comprehensive platform and managed services that enable data businesses to efficiently handle the complexities of data sales and operations. Their solutions are designed to drive growth and enhance customer experiences, making data management as seamless as online shopping.

Highlighted product

Product

product Archives - DataBP

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DataRich International's Logo

DataRich International

United States

B

51-100 Employees

1981

Key takeaway

DataRich has a long history of specializing in niche areas, providing expert consultants in fields that could be relevant for big data applications, such as data management and analytics.

Highlighted product

Service

Services | datarich

Data AnyWare Inc.'s Logo

Data AnyWare Inc.

Chapel Hill, United States

B

1-10 Employees

2005

Key takeaway

Data AnyWare specializes in developing custom software applications tailored to meet the unique needs of businesses, highlighting their advanced technical skills. This focus on practical and productivity-enhancing solutions may be relevant for organizations looking to leverage big data effectively.

Highlighted product

Core business

Data AnyWare - Home

xprdata's Logo

xprdata

Lexington, United States

B

1-10 Employees

2018

Key takeaway

xprdata specializes in providing both off-the-shelf and custom Business Intelligence solutions that emphasize efficient data integration into a Data Warehouse. Their in-house automation software enhances the speed and reliability of delivering tailored data solutions, making it easier for businesses to access and present valuable insights.

Highlighted product

Service

Services | xprdata

ProviderSoft's Logo

ProviderSoft

Warminster Township, United States

B

11-50 Employees

2007

Key takeaway

ProviderSoft has significantly enhanced operational efficiency for service providers in health and education sectors by improving usability and performance through continuous technological advancements. Their solution facilitates better tracking of referrals and performance, ultimately increasing productivity and service delivery.

Highlighted product

Core business

h2 - ProviderSoft

Production Data Inc's Logo

Production Data Inc

United States

B

1-10 Employees

-

Key takeaway

ProductionData has developed a comprehensive safety incident reporting module that provides valuable data and compliance reporting, which enhances workplace safety. Their focus on downtime reporting is essential for reliability improvement, allowing for detailed analysis of incidents related to specific equipment.

Highlighted product

Product

Another item - Production DataProduction Data

Boston Data Pro LLC's Logo

Boston Data Pro LLC

Westborough, United States

B

11-50 Employees

2016

Key takeaway

Boston Data Pro is a technology service company that emphasizes its expertise in Big Data, along with other key areas like Cloud services, Artificial Intelligence, and Application development.

Highlighted product

Core business

Header – Boston Data Pro

Datadel's Logo

Datadel

Petaluma, United States

B

1-10 Employees

2021

Key takeaway

Datadel transforms Industrial IoT data collection by providing comprehensive network solutions, allowing companies to concentrate on analyzing data and making informed decisions rather than managing the complexities of sensor integration and network security.

Highlighted product

Core business

About | Datadel


Related searches for Big Data

Technologies which have been searched by others and may be interesting for you:

Products and services for Big Data

A selection of suitable products and services provided by verified companies according to your search.

Product: edbic

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edbic

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Product: EMCP

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EMCP

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Use cases around Big Data

A selection of suitable use cases for products or services provided by verified companies according to your search.

UseCase: Continuous monitoring

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.

UseCase:  IoT gateway and Industry 4.0 application

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.

UseCase: Continuous monitoring

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.

Information about Big Data in United States

For those interested in the Big Data industry in the United States, several key considerations are essential. Regulatory compliance is critical, as various laws govern data privacy and protection, including the GDPR for companies that handle data from EU citizens and the CCPA in California. Understanding these regulations helps navigate legal challenges and avoid costly penalties. The competitive landscape is robust, with numerous established players and startups driving innovation. As businesses increasingly rely on data analytics for decision-making, opportunities abound in sectors like healthcare, finance, and retail. However, challenges such as data security, the need for skilled professionals, and ethical considerations regarding data usage persist. Environmental concerns are also emerging, as the energy demands of data centers contribute to carbon footprints. The global market relevance of Big Data continues to grow, with companies seeking to leverage insights from vast data sets to gain a competitive edge. Staying informed about technological advancements, market trends, and industry best practices is vital for success in this dynamic field.


Insights about the Big Data results above

Some interesting numbers and facts about your company results for Big Data

Country with most fitting companiesUnited States
Amount of fitting manufacturers1231
Amount of suitable service providers1127
Average amount of employees11-50
Oldest suiting company1981
Youngest suiting company2021

Frequently asked questions (FAQ) about Big Data Companies

Some interesting questions that has been asked about the results you have just received for Big Data

Based on our calculations related technologies to Big Data are Big Data, E-Health, Retail Tech, Artificial Intelligence & Machine Learning, E-Commerce

Start-Ups who are working in Big Data are Datadel

The most represented industries which are working in Big Data are IT, Software and Services, Other, Marketing Services, Finance and Insurance, Consulting

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Big Data results by various countries

Related categories of Big Data