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Lipperhey
Amsterdam, Netherlands
A
1-10 Employees
2009
Key takeaway
Dataprovider.com specializes in transforming the internet into a structured database, providing actionable insights and unique data intelligence. Their platform allows users to easily access and integrate valuable web data, making it a powerful resource for data processing and analysis.
Reference
Product
Technology Recipes | Dataprovider.com
At Dataprovider.com we transform the internet into a structured database of web data. Use our software to gain unique insights into companies.
Input For You
Brussels, Belgium
A
11-50 Employees
2006
Key takeaway
Input For You specializes in data processing by integrating both structured and unstructured content from various documents into essential business applications, ensuring high quality and timely delivery at a competitive price.
Reference
Product
Data processing – Input For You
Serenytics
Paris, France
A
1-10 Employees
2014
Key takeaway
Serenytics offers a comprehensive data processing solution that allows users to create and automate dataflows without needing a Data Engineer. Their platform includes a data preparation module, a scheduler, and an integrated datamart, making data processing accessible and efficient.
Reference
Product
Data processing | Serenytics
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The P.P. Group of Companies Ltd
Oldham, United Kingdom
A
51-100 Employees
1976
Key takeaway
The company offers a wide range of high-quality profiling and processing services, backed by innovative technology and experienced personnel. Their Processing, Fabrication, and Manufacturing division emphasizes collaboration to enhance their capabilities and improve customer experience by providing diverse services from a single supplier.
Reference
Service
Profiling & Processing Services - P.P. Group
MyDataProvider
Minsk, Belarus
C
1-10 Employees
2009
Key takeaway
MyDataProvider specializes in cloud-based software for data processing through web scraping and price monitoring. With a dedicated team and a proprietary tool, they offer customized data extraction solutions tailored to meet specific business needs, enabling e-commerce companies to manage their information effectively.
Reference
Core business
About company | MyDataProvider
btProvider
Bucharest, Romania
B
11-50 Employees
2012
Key takeaway
btProvider specializes in transforming organizations into data-driven companies through its consultancy and implementation services in data analytics, big data, and business intelligence. Their offerings include advanced solutions for data processing, such as data discovery and predictive analytics, aimed at helping businesses automate and digitize their operations.
Reference
Core business
btProvider - a Data Analytics & a Digital Transformation Company
btProvider is focused on transforming organizations into data driven companies by offering data analytics services, big data analytics and data integration.
Data Pro Software Solutions
Kyiv, Ukraine
B
1-10 Employees
2012
Key takeaway
Data Pro is an expert in leveraging advanced algorithms and machine learning to streamline data processing and solve digital challenges. Their innovative AI solutions are trusted by leading companies to deliver impactful results and drive sustainable growth.
Reference
Service
Services – Data Pro Software Solutions
wemuda
Copenhagen, Denmark
A
1-10 Employees
2016
Key takeaway
The company, Infood, offers a SaaS solution that streamlines data processing related to climate footprint and nutritional composition, emphasizing minimal manual effort. Additionally, they highlight their expertise in obtaining, understanding, and utilizing data, which is crucial for business growth.
Reference
Service
Data Processing | wemuda
Obtaining, understanding, preparing and utilising data, is a vital and ever expanding aspect of your business - let us help you!
nameurDream Business Solution
Coimbatore, India
D
1-10 Employees
2017
Key takeaway
The company, nameurDream, specializes in real-time data processing, enhancing data productivity and streamlining processes to achieve greater efficiency.
Reference
Core business
nameurDream | An experienced data processing business partner
Datapro MVP Python Specialization
Visakhapatnam, India
D
51-100 Employees
1990
Key takeaway
DATAPRO is a prominent Skill Development Training Centre in India, offering quality training across various locations.
Reference
Service
Datapro |
Datapro
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
edpem
Go to product
Service
Business Process Automation
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
Airport, Logistics
The challenge: A leading provider of ground services and cargo handling wanted to offer comprehensive solutions to the aviation industry. To drive innovation in key areas such as service, quality and reliability, the company wanted to improve visibility and communication through integration and networking across departments. Monitoring irregularities in process flows was critical to optimizing ground handling services. Working with multiple service providers and their disparate IT systems, which varied between airports and internal departments, was a challenge, while maintaining uninterrupted operations throughout the project. The solution: This multi-stage project used edpem, a process event monitoring tool, as the primary solution for monitoring ground services. To ensure fast aircraft turnaround times, the critical path in the process flow needed to be measured and monitored, especially when processes were transferred between suppliers. edpem recorded multiple events, including parking, disembarking completion, cleaning, catering, fuelling, crew boarding and loading completion. Service Level Agreements (SLAs) were tracked and monitored, and causes of delays identified and improved. Ground handling services were optimized by assessing service duration and process flow irregularities. In addition to monitoring traditional EDI processes, visualized reports improved reporting efficiency and facilitated faster decision-making. Key results included reduced turnaround times and fewer disruptions to flight operations. Our client: A major European airport provides ground services to approximately 265 million passengers annually and manages 4.6 million tonnes of global air cargo. Several warehouses are IATA CEIV certified for pharmaceutical logistics. In 2019, its 64,000 employees operated at 300 airports in 47 countries on six continents.
Use case
Continuous monitoring
Logistics
The challenge: The pharmaceutical company works closely with logistics service providers. Due to the volatile nature of the sector's order book, it was difficult to accurately predict capacity utilization, leading to recurring problems with service providers during collection. Service providers need timely information on freight volumes, collection details and the appropriate mode of transport. A key challenge was the sharing of real-time transport data. Another key concern was tracking and tracing, which proved difficult due to incomplete integration of certain areas of the warehouse management system. In addition, real-time monitoring of internal and external departments and service providers was required to optimize logistics processes. The solution: edpem was implemented as an end-to-end monitoring solution to improve logistics processes. The monitoring covered the entire delivery process, from SAP order documents and invoices to final delivery. Connection and monitoring of the warehouse management system was also part of the scope. Comprehensive tracking of goods throughout the supply chain enabled quick retrieval of information without involving other departments, saving valuable time and resources. Optimal vehicle selection for parcel collection and product tracking by batch were achieved. Internal IT system security was ensured, as external partners could only access edpem without needing permissions for internal applications. Parcel scanning enabled customer order tracking and tracing, early problem identification and real-time notification of process owners. edpem tracked the entire shipping process from packaging to customer delivery. The automation of electronic data interchange (EDI) provided new opportunities for superior service and quality for customers and logistics providers. Our customer: A pharmaceutical company based in Germany provides "Made in Germany" products to patients worldwide, with almost all products manufactured at its headquarters in Baden-Baden and distributed through an extensive network. Its main focus is on the research and production of medicines based on natural ingredients. The company has achieved global growth and operates in 50 countries.
Use case
Continuous monitoring
Airport, Logistics
The challenge: A leading provider of ground services and cargo handling wanted to offer comprehensive solutions to the aviation industry. To drive innovation in key areas such as service, quality and reliability, the company wanted to improve visibility and communication through integration and networking across departments. Monitoring irregularities in process flows was critical to optimizing ground handling services. Working with multiple service providers and their disparate IT systems, which varied between airports and internal departments, was a challenge, while maintaining uninterrupted operations throughout the project. The solution: This multi-stage project used edpem, a process event monitoring tool, as the primary solution for monitoring ground services. To ensure fast aircraft turnaround times, the critical path in the process flow needed to be measured and monitored, especially when processes were transferred between suppliers. edpem recorded multiple events, including parking, disembarking completion, cleaning, catering, fuelling, crew boarding and loading completion. Service Level Agreements (SLAs) were tracked and monitored, and causes of delays identified and improved. Ground handling services were optimized by assessing service duration and process flow irregularities. In addition to monitoring traditional EDI processes, visualized reports improved reporting efficiency and facilitated faster decision-making. Key results included reduced turnaround times and fewer disruptions to flight operations. Our client: A major European airport provides ground services to approximately 265 million passengers annually and manages 4.6 million tonnes of global air cargo. Several warehouses are IATA CEIV certified for pharmaceutical logistics. In 2019, its 64,000 employees operated at 300 airports in 47 countries on six continents.
Data processing involves the collection, manipulation, and analysis of data to transform it into meaningful information. This process can include various operations such as sorting, filtering, aggregating, and analyzing data sets. Organizations utilize data processing to make informed decisions, improve efficiency, and gain insights into their operations and customer behaviors. The methods of data processing can vary, including manual processing, automated systems, or a combination of both. By employing advanced technologies and software, businesses can handle large volumes of data quickly and accurately, ensuring that they remain competitive in today's data-driven landscape.
Data processing involves the collection, manipulation, and analysis of data to extract meaningful information. It typically begins with data collection, where raw data is gathered from various sources such as databases, IoT devices, or user inputs. Once collected, the data undergoes cleansing and transformation to ensure accuracy and consistency, which prepares it for further analysis. After preparation, data processing techniques such as sorting, filtering, and aggregating are applied to convert raw data into a more usable form. Analytical methods, including statistical analysis or machine learning algorithms, may then be employed to identify patterns or insights. Finally, the processed data can be used for decision-making, reporting, or feeding into other systems, enhancing overall operational efficiency.
Data processing is crucial for businesses as it enables them to convert raw data into meaningful insights. This transformation allows organizations to make informed decisions, enhance operational efficiency, and identify market trends. By analyzing data effectively, businesses can tailor their strategies to meet customer needs and improve overall performance. Moreover, accurate data processing supports regulatory compliance and risk management. It helps in identifying potential issues before they escalate, ensuring that businesses can respond proactively. In a data-driven environment, the ability to process information quickly and accurately can significantly impact a company's competitive edge.
Various technologies are employed in data processing to manage and analyze large sets of data efficiently. Cloud computing platforms, such as Amazon Web Services (AWS) and Microsoft Azure, allow for scalable data storage and processing capabilities. These platforms often integrate with big data frameworks like Apache Hadoop and Apache Spark, which facilitate distributed data processing. Additionally, database management systems (DBMS) like MySQL, PostgreSQL, and NoSQL options such as MongoDB and Cassandra play crucial roles in organizing and retrieving data. Machine learning algorithms and data analytics tools, including Python libraries like Pandas and NumPy, are also essential for deriving insights from processed data.
Data processing involves several challenges that can impact efficiency and accuracy. One significant issue is data quality, as incomplete or inaccurate data can lead to erroneous insights and decisions. Ensuring data consistency and accuracy across multiple sources is crucial for effective processing. Another challenge is scalability. As data volumes grow, the systems must adapt to handle increased loads without sacrificing performance. Additionally, compliance with regulations such as GDPR can complicate data processing, requiring organizations to implement strict data governance practices to protect user privacy and data integrity.
Some interesting numbers and facts about your company results for Data Processing
| Country with most fitting companies | United States |
| Amount of fitting manufacturers | 3879 |
| Amount of suitable service providers | 4321 |
| Average amount of employees | 1-10 |
| Oldest suiting company | 1976 |
| Youngest suiting company | 2017 |
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Some interesting questions that has been asked about the results you have just received for Data Processing
What are related technologies to Data Processing?
Based on our calculations related technologies to Data Processing are Big Data, E-Health, Retail Tech, Artificial Intelligence & Machine Learning, E-Commerce
Which industries are mostly working on Data Processing?
The most represented industries which are working in Data Processing are IT, Software and Services, Other, Finance and Insurance, Consulting, Marketing Services
How does ensun find these Data Processing 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.
