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GetInData
Warsaw, Poland
B
51-100 Employees
2014
Key takeaway
GetInData is a Big Data expert, specializing in creating and leading innovative projects for international clients. They focus on designing and implementing cloud-based, data-oriented solutions, and have extensive experience in building production Big Data infrastructure and real-time applications that process large data streams.
Reference
Service
Big Data Experts with a passion for modern technologies - GetInData
We design and build efficient platforms for data collections, processing and visualization. We help you analyze the data and come to the best business decisions. We use modern technologies like: Flink, Kafka, Spark, Druid, Google Cloud, Hadoop
Datumo
Warsaw, Poland
B
11-50 Employees
2017
Key takeaway
Datumo aims to be a leading force in the Big Data and Cloud sector in Poland, emphasizing their expertise in designing tailored Big Data solutions that empower businesses to harness data effectively. With a focus on creating impactful products and services, they assist clients in adapting to market trends through proactive data utilization and specialized consulting.
Reference
Core business
Big data & Cloud | Datumo
We design Big Data platforms. We realise the full potential of data. Data is about people - for people. We can simply say - Datumo is dedicated to helping people understand each other.
REDSEGSOLUTIONS IT
Warsaw, Poland
B
1-10 Employees
2013
Key takeaway
The company emphasizes the importance of big data in driving business success across various fields and markets. They offer a range of data analysis services, including consulting and visualization, to help clients effectively interpret and utilize big data for optimal results.
Reference
Service
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DS STREAM
Warsaw, Poland
B
51-100 Employees
2017
Key takeaway
The company specializes in Big Data solutions and advanced analytics, offering a team of Data Engineers and Data Scientists who transform data into valuable knowledge. Their services include designing analytical platforms and applying machine learning algorithms to enhance business performance and monetize data.
Reference
Core business
DS Stream - Big Data Solution and Advanced Analytics
We are a dynamic and highly-ambitious startup specializing in Data Engineering and Data Science. From designing analytical platforms to applying cutting-edge machine learning algorithms and performing data quality assurance assignments – our teams of Data Engineers and Scientists deliver innovative ideas to enhance business performance and monetize data.
Alterdata.io
Warsaw, Poland
B
11-50 Employees
2016
Key takeaway
The company emphasizes its expertise in cloud technologies and data solutions, highlighting their ability to enhance data value through scalable and machine learning-enabled systems. They also focus on transforming businesses into data-driven entities, enabling informed decision-making based on actionable insights.
Reference
Core business
Alterdata.io - Your data partner - Alterdata.io
DATA WAREHOUSE MIGRATION TO THE CLOUD Move your data stack to the next level: scalable, ML enabled, ready for new data sources and agile development MACHINE LEARNING: PREDICTIONS Predict LTV, ROAS, ROI and other business KPIs, experiment with A/B testingDATA DRIVEN COMPANY: BUSINESS INTELLIGENCE Let your business teams take actions based on the insights from […]
BitPeak
Warsaw, Poland
B
51-100 Employees
2018
Key takeaway
BitPeak emphasizes its commitment to delivering real business value through data analysis and processing, empowering organizations to make informed, data-driven decisions. By combining innovative technology with established cloud solutions, BitPeak positions itself as a leader in transforming data into actionable insights.
Reference
Core business
BitPeak
BitPeak - Value from Data
Zentaly
Wrocław, Poland
B
1-10 Employees
2014
Key takeaway
Zentaly specializes in providing customized Big Data solutions, leveraging over 10 years of experience in backend programming and complex systems. Their expertise includes areas such as distributed applications and real-time systems, making them well-equipped to address diverse Big Data needs for businesses.
Reference
Core business
Zentaly - Customized Big Data solutions for your business
Zentaly is the team of professionals delivering Enterprise solutions for over than 10 years. Core area of expertise is backend programming: SOA, Distributed Applications, Realtime Systems, Complex Event Processing, Map Reduce.
3SOFT S.A.
Katowice, Poland
B
51-100 Employees
2003
Key takeaway
The company, 3Soft S.A., specializes in designing and running advanced IT platforms that facilitate the collection, processing, and analysis of large datasets using Big Data technologies. They focus on extracting business value through advanced analytics powered by Machine Learning and Data Science, emphasizing their commitment to a data-driven approach that aligns with industry megatrends.
Reference
Core business
3Soft S.A.
Wierzymy w biznesowy potencjał danych! Pomagamy przedsiębiorstwom wprowadzać podejście Data-Driven Business.
ALGOMINE
Warsaw, Poland
B
51-100 Employees
2015
Key takeaway
Algomine specializes in monetizing data to create new revenue streams and reduce costs, emphasizing the importance of data-driven decision-making through their AI-driven solutions. Their expertise in digital transformation and cloud data platforms positions them as a key player in unlocking the potential of big data for organizations.
Reference
Service
Algomine
Bontruk
Warsaw, Poland
B
1-10 Employees
2018
Key takeaway
The company specializes in transforming scientific and technological concepts into business solutions, offering end-to-end models that classify, forecast, and cluster various types of data, including big data. They provide comprehensive data analytics services that enhance business operations through in-depth analysis and the integration of high-quality tools.
Reference
Service
Data Analytics - Data Analytics Services - World-Class Solutions for Your Business
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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.
In Poland's Big Data industry, several key considerations play a significant role for those researching companies in this field. First, the regulatory landscape is shaped by the General Data Protection Regulation (GDPR), which emphasizes data privacy and security. Understanding compliance with such regulations is crucial for any business. Additionally, the competitive landscape in Poland is evolving, with a mix of established firms and startups leveraging advanced analytics, machine learning, and artificial intelligence technologies. The industry benefits from Poland's strong educational background in STEM fields, providing a skilled workforce adept in data science and analytics. However, challenges such as data quality issues and integration of disparate data sources can impact project success. Opportunities abound, particularly in sectors like finance, healthcare, and manufacturing, where big data applications can drive significant efficiencies and insights. Environmental concerns are gaining traction, as companies increasingly seek sustainable data practices that minimize carbon footprints. Moreover, Poland's position within the European Union enhances its global market relevance, allowing for cross-border collaborations and access to international funding. As businesses increasingly recognize the value of data-driven decision-making, Poland’s Big Data industry is poised for growth, making it an attractive area for investment and innovation.
Some interesting numbers and facts about your company results for Big Data
| Country with most fitting companies | Poland |
| Amount of fitting manufacturers | 80 |
| Amount of suitable service providers | 76 |
| Average amount of employees | 51-100 |
| Oldest suiting company | 2003 |
| Youngest suiting company | 2018 |
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, Marketing Services, Other, Research, Business Services
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.