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Deep Center
São Paulo, Brazil
C
11-50 Employees
2018
Key takeaway
The company utilizes state-of-the-art technology to integrate data from various systems, providing key insights for strategic analysis, which is essential for leveraging Big Data. Their scalable, high-performance data storage and comprehensive solutions facilitate the effective collection and association of both structured and unstructured data, offering unique insights that can significantly advance business decision-making.
Reference
Core business
Discovery: comprehensive solution, from support to decision-making.
Lagoa Tech
Florianópolis, Brazil
C
1-10 Employees
2021
Key takeaway
The company emphasizes that "Big Data" is essential for unlocking new possibilities and enhancing organizational competitiveness. They specialize in designing and implementing scalable data engineering strategies, helping businesses capture and analyze data effectively while ensuring its privacy and security.
Reference
Core business
Lagoa Tech Ltda | Data Engineering at scale
Data Marketplace
São Paulo, Brazil
C
51-100 Employees
2019
Key takeaway
The company specializes in data consultancy and is committed to promoting a "data-driven" culture, which is highly relevant to the concept of "Big Data." Their focus on supporting clients in their digital transformation journey through data solutions aligns with the growing importance of big data analytics.
Reference
Service
Data Marketplace - Cloud
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Datahub Analytics
São Paulo, Brazil
C
51-100 Employees
2004
Key takeaway
DATAHUB, established in 2004, specializes in providing comprehensive data on businesses and consumers, which is crucial for powerful insights in Sales & Marketing and Risk & Compliance. Their focus on Big Data enables enhanced audience targeting and segmentation, offering unique benefits such as attribute enrichment and market research.
Reference
Core business
Big Data - DataHub
DADOS QUE VOCÊ PODE CONFIAR DADOS QUE VOCÊ PODE CONFIAR As informações de Empresas e Consumidor mais completas do Brasil. Compreender, identificar e segmentar melhor o público-alvo ideal. + 0 MILHÕES DE EMPRESAS + 0 MILHÕES DE CONSUMIDORES Dados abrangentes de empresas e consumidores para insights poderosos para Vendas & Marketing e Risco & Compliance.
Big Data
São Paulo, Brazil
C
11-50 Employees
2013
Key takeaway
The company emphasizes its focus on transforming data into value, particularly in the context of optimizing product pricing and enhancing sales strategies. They seek data scientists and developers who are passionate about understanding the world through data, which aligns with the theme of "Big Data."
Reference
Core business
Home - Big Data
One-Click Order Dezenas ou centenas de produtos em um portfolio de milhares de clientes. Um só desafio: encontrar os produtos ideais para cada PDV a cada visita, em um modo simples e acionável pela equipe de vendas. Conheça PriceO Otimize o preço
Realtime Big Data
São Paulo, Brazil
C
- Employees
-
Key takeaway
Real Time Big Data aims to provide clear and reliable data and analyses to support decision-making for businesses, institutions, public agents, and non-profit organizations. With a multidisciplinary professional team, it emphasizes the agility and reliability of its research.
Reference
Core business
RealTime Big Data
O Real Time Big Data tem como objetivo fornecer dados e análises claros e confiáveis para auxiliar a tomada de decisões.
BDS DataSolution
São Paulo, Brazil
C
11-50 Employees
1995
Key takeaway
The BDS Market Data Hub offers a comprehensive Big Data as a Service (BDaaS) solution, enabling partners to leverage and provide valuable data, insights, and analytics. This approach enhances decision-making through customizable and flexible data management and analytics services, particularly in the financial sector.
Reference
Core business
BDS DataSolution - Potencializando suas decisões
Um único DATA HUB com Big Data as a Service (BDaaS), Platform as a Service (PaaS), expertise em Analytics com AI, com foco no mercado financeiro.
DataEX
Jundiaí, Brazil
C
51-100 Employees
2014
Key takeaway
DataEX is a well-established company with over nine years of experience, specializing in Big Data and Cloud Analytics, among other data-related services. Their expertise in analytics and data management positions them as key players in leveraging big data for various industries.
Reference
Core business
Home - DataEX
BlueShift Brasil
São Paulo, Brazil
C
101-250 Employees
2012
Key takeaway
BlueShift is a company that specializes in Big Data and Analytics, highlighting its extensive experience and commitment to delivering innovative solutions that enhance digital transformation strategies for its business partners. With a focus on data science technology, BlueShift has been an expert in Big Data since its inception in 2012.
Reference
Core business
BlueShift
BlueShift Brasil
WebGlobal
Porto Alegre, Brazil
C
11-50 Employees
2011
Key takeaway
Webglobal emphasizes its commitment to leveraging technology, particularly through Big Data, machine learning, and artificial intelligence, to help industries and retailers grow by harnessing the power of data.
Reference
Core business
WebGlobal Informação e Tecnologia LTDA – Monitore Dados
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.
When exploring the Big Data industry in Brazil, several key considerations come into play. The regulatory landscape is crucial, particularly with the Lei Geral de Proteção de Dados (LGPD), which mandates strict data protection and privacy standards, impacting how companies collect and process data. This creates both challenges and opportunities, as businesses must navigate compliance while leveraging data analytics for insights. The competitive landscape in Brazil is growing, with both local startups and established multinational corporations vying for market share. This competition fosters innovation but also requires companies to differentiate themselves through unique offerings or niche markets. Additionally, the availability of skilled talent in data science and analytics is essential, and companies may face challenges in finding qualified professionals. Environmental concerns are increasingly relevant, as companies are encouraged to adopt sustainable practices in data management and processing. The global market relevance of Brazil's Big Data sector is notable, given the country's large consumer base and expanding digital economy, which presents significant opportunities for growth. Understanding these factors will aid in making informed decisions when researching companies in the Big Data industry in Brazil.
Some interesting numbers and facts about your company results for Big Data
| Country with most fitting companies | Brazil |
| Amount of fitting manufacturers | 28 |
| Amount of suitable service providers | 20 |
| Average amount of employees | 51-100 |
| Oldest suiting company | 1995 |
| 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
Who are Start-Ups in the field of Big Data?
Start-Ups who are working in Big Data are Lagoa Tech
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, Research, Consulting, Other
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.