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Big Data Analytics
Lahore, Pakistan
E
11-50 Employees
2018
Key takeaway
The company specializes in data analytics and software engineering services, emphasizing its expertise in Big Data Analytics.
Reference
Product
Big Data Analytics
BigBrother Analytics
Cairo, Egypt
D
11-50 Employees
-
Key takeaway
MediaSci is a data-driven digital agency that has developed a comprehensive platform called Big Brother Analytics (BBA), which focuses on understanding and managing the impact of digital spaces on businesses. BBA serves as a consumer intelligence platform that analyzes data from various digital touchpoints, providing valuable insights into preferences and sentiments, thus enabling informed decision-making for marketers.
Reference
Service
Big Data Services – BigBrother Analytics
Intellect Dynamics
Markham, Canada
A
11-50 Employees
2015
Key takeaway
Intellect Dynamics™ specializes in technology solutions that enhance real-time analytics and decision-making, making it well-equipped to handle the complexities of big data. Their DataBioniX™ platform is designed to transform large volumes of raw data into actionable insights, supporting businesses of all sizes in leveraging data for strategic advantage.
Reference
Core business
The Big Data Company™
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HUGEdata LLC
Dallas, United States
B
1-10 Employees
2012
Key takeaway
HUGEdata specializes in Big Data Analytics, offering custom solutions that help enterprises gain valuable insights and enhance business outcomes. Their team of data developers and analysts is dedicated to unlocking the full potential of big data for companies.
Reference
Core business
Home -
Big Data Technology To Help You Grow At HUGEdata, our data developers and analysts help enterprises unlock the power of Big Data Analytics, providing valuable insights and driving business results for your company with custom big data solutions. HUGEdata is a Registered Trademark HUGEdata.com Domain and Trademark are for sale PLEASE DIRECT INQUIRIES TORead More
Big Dataworks
Petaling Jaya, Malaysia
C
11-50 Employees
2015
Key takeaway
Big Dataworks is a tech company that specializes in data supply, analytics, and management, emphasizing the transformative power of Big Data to enhance productivity and drive business growth. Since 2015, they have been dedicated to converting registered company data into actionable insights, highlighting their commitment to leveraging data for informed decision-making.
Reference
Core business
Home | bigdataworks
Intellibee Inc
Southfield, United States
B
11-50 Employees
2010
Key takeaway
Intellibee is a global Information Technology services company that emphasizes enterprise integration and IT solutions across various industries, including government and healthcare. They highlight their expertise in Big Data and Analytics, which aligns with their commitment to delivering high-quality, values-driven consulting and innovative solutions.
Reference
Service
Big Data & Analytics
Enable Data
Minneapolis, United States
B
51-100 Employees
2018
Key takeaway
The company operates a large Hadoop cluster, highlighting its capability in managing and analyzing big data. They empower customers to leverage modern data solutions, driving increased value across various business ecosystems.
Reference
Core business
Enable Data – A leading provider of advanced data, software and cloud engineering services.
Classora Technologies
A Coruña, Spain
A
1-10 Employees
-
Key takeaway
Classora Technologies is a tech company that specializes in text classification and data analysis, utilizing scalable Big Data methodologies to deliver robust architectures for generating reports and updating KPIs. Their extensive experience in ETL processes and the implementation of Business Intelligence tools underscores their capability to handle complex projects across various sectors.
Reference
Product
Big Data | Classora Technologies
Global Integration Pty Ltd
Gold Coast City, Australia
A
1-10 Employees
1983
Key takeaway
The company specializes in helping organizations effectively access and manage their data through innovative database technology and integration platforms. Their approach focuses on creating a cohesive data ecosystem that enhances efficiency and provides valuable insights, making it relevant for those interested in Big Data integration.
Reference
Service
Big Data Integration
Fast Forward Labs
New York, United States
B
1-10 Employees
2014
Key takeaway
Cloudera offers a hybrid data platform designed for modern architectures, enabling organizations to extract real-time insights from vast amounts of data. Their focus on data science and organizing commercial data positions them to address transformational use cases across various industries.
Reference
Core business
Global information technology company | Customer Success | Cloudera
This global information technology services company provides one of the largest e-commerce platforms in the world to its customers. As more internet transactions are completed, the volume of data to be processed has grown exponentially. The e-commerce increase drove the company’s need to expand capacities for its global data centers.
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
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Service
EMCP
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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.
Big Data refers to the vast volumes of structured and unstructured data generated from various sources, including social media, sensors, transactions, and more. This data is characterized by its high volume, velocity, and variety, making it challenging to process using traditional data management tools. Organizations leverage Big Data technologies to analyze and extract valuable insights, enabling informed decision-making, improving operational efficiency, and enhancing customer experiences. By utilizing advanced analytics, machine learning, and cloud computing, businesses can harness the power of Big Data to gain a competitive edge in their respective industries.
Big Data plays a crucial role in enhancing decision-making processes across various industries. By analyzing vast amounts of data, organizations can uncover patterns and trends that inform strategic choices. This data-driven approach allows businesses to make informed predictions about customer behavior, market trends, and operational efficiency. Furthermore, utilizing Big Data enables companies to identify opportunities for improvement and innovation. With real-time analytics, decision-makers can respond swiftly to changing conditions, ensuring they remain competitive in an ever-evolving marketplace. Overall, the integration of Big Data into decision-making fosters a more proactive and evidence-based strategy.
The main components of Big Data architecture include data sources, storage solutions, processing frameworks, and analytics tools.
1. Data Sources
These are the origins of data, which can include structured, semi-structured, and unstructured data from various sources like social media, IoT devices, and enterprise applications.
2. Storage Solutions
Big Data requires scalable storage solutions, such as distributed file systems and cloud storage, to accommodate vast amounts of data efficiently.
3. Processing Frameworks
Processing frameworks like Hadoop and Spark are essential for managing and analyzing large datasets. They enable parallel processing, which enhances performance and speed.
4. Analytics Tools
These tools provide insights through data analysis, visualization, and reporting. They help organizations make data-driven decisions based on the patterns and trends identified in the data.
Big Data analytics significantly differs from traditional analytics in its ability to process large volumes of diverse data types in real-time. Traditional analytics often relies on structured data from relational databases, making it limited in scope and speed. In contrast, Big Data analytics utilizes advanced technologies and frameworks, such as Hadoop and Spark, to analyze unstructured and semi-structured data from various sources, including social media, IoT devices, and more. Moreover, the scale and speed at which Big Data analytics operate allow organizations to derive insights from massive datasets quickly. This capability enables businesses to make data-driven decisions faster, offering a competitive edge in rapidly changing markets. The integration of machine learning and artificial intelligence in Big Data analytics further enhances its predictive abilities, providing deeper insights compared to conventional methods.
Implementing Big Data solutions presents several challenges that organizations must navigate effectively. One significant issue is data integration, where disparate data sources may have varying formats and structures, complicating the consolidation process. Additionally, ensuring data quality is critical; poor-quality data can lead to inaccurate analyses and misleading insights. Another challenge lies in scalability. As data volumes grow, organizations must ensure their infrastructure can handle increased loads without sacrificing performance. Moreover, there are concerns regarding data security and privacy, especially with strict regulations in place. Organizations need robust frameworks to protect sensitive information while complying with legal requirements. Finally, the shortage of skilled professionals in Big Data analytics can hinder effective implementation, as businesses struggle to find qualified talent to manage and interpret data effectively.
Some interesting numbers and facts about your company results for Big Data
| Country with most fitting companies | United States |
| Amount of fitting manufacturers | 7634 |
| Amount of suitable service providers | 7286 |
| Average amount of employees | 11-50 |
| Oldest suiting company | 1983 |
| Youngest suiting company | 2018 |
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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, Marketing Services, Consulting, Research
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.
