Top Big Data Companies

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10000 companies for Big Data

Advanced Tracking's Logo

Hyères, France

1-10 Employees

2004

Pour nous contacter : +33 (0) 494 23 15 51 - Horaires d'ouverture du lundi au vendredi : 9h-12h et 14h-18h. Entrez votre email et votre mot de passe :. Mot de passe perdu ? Récupérer mon mot de passe. Vous connaissez votre mot de passe ? Se connecter. Vous avez déjà un compte ? Se connecter.

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Featured

Product
Image for Abonnement mensuel CARTE SIM BIG DATA Caraibes 25Go

Abonnement mensuel CARTE SIM BIG DATA Caraibes 25Go

... Achetez ici l'Abonnement mensuel CARTE SIM BIG DATA Caraibes 25Go avec Advanced ...

Digital Back Office's Logo

London, United Kingdom

11-50 Employees

2017

Our mission is to enable the businesses make best decision by leveraging data. We are based in UK, but we can support your business in any time zone, we work 24x7. We provide full spectrum of enterprise data services. We provide 24x7 support for our solutions, supporting your business across different time zones. We deliver smart data visualization that facilitate not only Decision making but also Idea generation, research and Visual Discovery. We deliver full range of Big Data DevOps for major cloud providers AWS, Azure and Google Cloud as well as on-prem. We are really excited about working with Digital Back Office. We believe building trust through transparent communication is crucial for long term succes.

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Featured

Service
Image for Big Data Architecture

Big Data Architecture

... Big data architecture is the foundation for big data analytics. The big data architecture framework serves as a reference blueprint for big data infrastructures and solutions, logically defining how ...

Vizz Web Solutions Pvt. Ltd's Logo

Islamabad, Pakistan

11-50 Employees

2009

We are a leading global IT company with more than 14 years of expertise in Big Data, blockchain, mobile application development, web development, and technological innovations. We provide a wide range of services, including AI, blockchain, IoT, mobile and web applications, data analytics, and reliable IT infrastructure solutions. We provide remote SaaS solutions with an intuitive, modern user interface having capability to autorun without any outages or downtime. We provide you with profiles and expertise details, allowing you to make informed decisions based on the specific skills and experience required for your project. Explore Every Single Portfolio Project and see how we solve the complexity and provide 100% work done. We prioritize innovation, user-centric tactics, and top-tier quality, and we are trusted by 400+ significant organizations worldwide. We turn good ideas into great products with creative web solutions. Vizz Web Solutions provides development, integration, and management services for android and iOS applications.

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Featured

Service
Image for Big Data Service Providers

Big Data Service Providers

... Vizzwebsolutions is Big Data Service Providers. Our data engineers helps achieve your big data objectives by real-time data ...

atlan-tec Systems's Logo

Germany

11-50 Employees

1994

Das eröffnet neue Potenziale für smarte Erkenntnisse, smarte Entscheidungen und smarte Produktionsprozesse. So entwickeln wir maßgeschneiderte Lösungen für Ihren individuellen Produktionsprozess. Pro Sekunde entstehen in Ihrer Produktionsanlage tausende von Daten. In einem ganzheitlichen Ansatz werden Out-Of-Spec-Produktion reduziert, Rohstoff- und Energieeinsatz minimiert und Effizienz gesteigert. Bis heute haben wir bereits mehr als 1.200 Industrieprojekte und 470 verschiedene Produktionsprozesse erfolgreich begleitet optimiert. Wir optimieren weltweit technische Produktionsprozesse in derzeit zehn verschiedenen Branchen.

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Featured

Service
Image for Advanced Big Data Analytics für eine smarte Produktion

Advanced Big Data Analytics für eine smarte Produktion

... Advanced Big Data Analytics | Software für smarte ...

Mighty Big Data's Logo

Leicester, United Kingdom

1-10 Employees

2020

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Featured

Core business
Image for Mighty Big Data

Mighty Big Data

... Mighty Big Data, a professional website development agency based in Leicester, providing bespoke development services throughout the UK. ...

Big Data Analytics's Logo

Lahore, Pakistan

11-50 Employees

2018

We provide data analytics and software engineering services to data driven businesses. Bits is a Fintech product that helps customers build a credit score. Scroll Finance offers smart and flexible financing for homeowners. Cheetay is a homegrown Pakistani technology company that operates in the last mile delivery space.

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Featured

Product
Image for Big Data Analytics

Big Data Analytics

... Big Data ...

SNSKIES's Logo

Islamabad, Pakistan

51-100 Employees

2007

SNSKIES has an exceptional blend of people, deep domain expertise, and technology capabilities to help you generate top-line growth. With SNSKIES Cloud Transformation Solutions, you can unleash the potential of the cloud. Leverage SNSKIES Software Testing & QA Services to achieve high quality and performance. SNSKIES provided PTCL with an integrated SOC solution along with a resident engineer to ensure unhampered support services that help secure PTCLs mission critical applications, systems and networks from the latest malware and emerging online threats. SNSKIES provided Level 2 DNS & SMTP SLA Support Services for Jazz on its IP Transit links. For entire contract period SNSKIES always achieved the target SLA and ensured 99.9% service uptime. SNSKIES provided this services for 5 years and trained Jazz team before they insourced the DNS services to their own NOC engineers. SNSKIES presented TWA with a Web filtering solution to fullfill 100% compliance to regulatory standards.

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Featured

Service
Image for Big Data

Big Data

... SNSKIES provides complete IT and business intelligence solutions including enterprise security and cybersecurity, deep packet inspection, lawful interception, big-data analytics and integration, cloud virtualization, managed services & operational support services. ...

Datumo's Logo

Warsaw, Poland

11-50 Employees

2017

Our vision is to build the most valued company in the Big Data and Cloud sector in Poland, distinguished by trust, work ethics, and technical qualifications. We are aware of who we are as a company, our vision, mission, and well-defined goals. We are proactive, constantly seeking new opportunities and solutions. We are not afraid to make decisions, realizing that mistakes are part of the process. With dedication, we assist in creating effective products and services, consciously utilizing the potential of data, allowing our clients to adapt to changing market trends and achieve their intended business results. We operate with agility, focusing on actions that yield useful results instead of pursuing perfection. We can simply say - Datumo is dedicated to helping people understand each other.

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Featured

Core business
Image for Big Data consulting tailored to your business needs.

Big Data consulting tailored to your business needs.

... 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. ...

Illustris LLC's Logo

Denver, United States

1-10 Employees

2006

Because we dedicate ourselves to solve the problem in the best way possible, which in turn provides you with the highest Return on Investment. In today's digital age, the world is generating an astronomical amount of data with every passing second. From social media interactions and online transactions to sensor readings and scientific research, the volume, variety, and velocity of data are unprecedented. In this data-driven landscape, the concept of big data analytics has emerged as a game-changer, revolutionizing industries and unlocking new possibilities. By harnessing the power of advanced algorithms and technologies, big data analytics is reshaping the way organizations gain insights, make decisions, and create value.

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Featured

Service
Image for Big Data Analytics

Big Data Analytics

... Illustris, LLC - Big Data ...

DATA SWING's Logo

Paris, France

1-10 Employees

2012

Nous sommes un cabinet de Conseil IT né d’une fusion de compétences et d’expertises pointues en nouvelles technologies de l’information. Nous croyons en la capacité des nouvelles technologies à créer de la valeur et à améliorer notre quotidien. La cellule Architecture a pour mission d’aider les clients à prendre du recul sur l’architecture SI en place, la « challenger » pour répondre à de nouveaux besoins ou tout simplement pour concevoir une nouvelle architecture cible en partant d’une « feuille blanche ». Nous avons une riche expertise en intégration d’architecture répartie.

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Featured

Product
Image for Formation Big Data

Formation Big Data

... Formation Big Data - DATA ...


Related searches for Big Data

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Facts about those Big Data Results

Some interesting numbers and facts about the results you have just received for Big Data

Country with most fitting companiesUnited States
Amount of fitting manufacturers5977
Amount of suitable service providers5881
Average amount of employees11-50
Oldest suiting company1994
Youngest suiting company2020

Things to know about Big Data

What is Big Data?

Big Data refers to incredibly large and complex data sets that traditional data processing software cannot manage efficiently. These data sets, characterized by their immense volume, high velocity, and varied formats, necessitate advanced methods for data storage, analysis, and visualization. Big Data encompasses structured, semi-structured, and unstructured data collected from multiple sources, including social media, sensors, mobile devices, and business transactions. The significance of Big Data lies in its potential to provide insightful patterns, trends, and associations, especially relating to human behavior and interactions. This capacity for deep analysis can drive more informed decision-making across various sectors, including healthcare, finance, education, and retail. By leveraging Big Data analytics, organizations can enhance operational efficiency, foster innovation, and gain a competitive edge. The technology not only helps in understanding the present state of affairs but also in predicting future trends and behaviors, thereby offering a strategic advantage. However, managing Big Data presents challenges, including issues related to data privacy, data quality, and the technical expertise required to handle complex data analyses. Despite these hurdles, the role of Big Data in advancing technological capabilities and driving economic growth remains unparalleled, making it a pivotal element in today's digital age.


Advantages of Big Data

1. Enhanced Decision Making
Big Data analytics empowers organizations to make informed decisions by analyzing vast amounts of information in real-time. This analysis provides insights that were previously inaccessible, leading to more accurate and strategic decisions.

2. Cost Efficiency
Big Data technologies, such as Hadoop and cloud-based analytics, bring significant cost advantages when it comes to storing large amounts of data. Moreover, they can identify more efficient ways of doing business, thereby reducing expenses.

3. Improved Customer Service
By analyzing customer interactions and feedback, businesses can tailor their services to meet the expectations of their clientele. This personalized approach not only enhances customer satisfaction but also fosters loyalty and retention.

4. Competitive Advantage
Organizations utilizing Big Data can gain a competitive edge by identifying trends, improving their products, and making data-driven decisions faster than competitors. This proactive approach allows them to stay ahead in the market.


How to select right Big Data supplier?

1. Data Security and Privacy
Ensure the supplier implements rigorous data security measures and complies with privacy laws to protect sensitive information.

2. Scalability and Flexibility
The supplier's solutions should scale seamlessly with your data needs and allow for flexible integration with existing systems.

3. Data Management Capabilities
Evaluate their ability to efficiently process, store, and manage large volumes of data, ensuring quick accessibility and reliability.

4. Advanced Analytics and Tools
Check for the availability of advanced analytics features and tools that can provide meaningful insights from your data.

5. Technical Support and Service Level Agreements (SLAs)
Consider the quality of technical support offered, including responsiveness and the specifics of their SLAs, to ensure they meet your operational requirements.

6. Expertise and Experience
Assess their expertise in big data technologies and experience in your specific industry to ensure they can meet your business needs.


What are common B2B Use-Cases for Big Data?

Big data has revolutionized how businesses across various sectors operate, offering insights that drive efficiency, innovation, and competitive advantages. In the healthcare industry, big data analytics play a pivotal role in predictive modeling, helping providers identify at-risk patients and tailor preventive measures accordingly. This use case not only enhances patient outcomes but also optimizes resource allocation. In the realm of finance, big data is instrumental in fraud detection and risk management. By analyzing patterns and behaviors across vast datasets, financial institutions can identify fraudulent activities in real-time, reducing financial losses and safeguarding customer trust. This application showcases big data’s ability to enhance security and compliance in highly regulated industries. Manufacturing companies leverage big data for predictive maintenance, utilizing sensor data and analytics to predict equipment failures before they occur. This approach significantly reduces downtime and maintenance costs, boosting operational efficiency and product quality. It exemplifies how big data can transform traditional manufacturing processes into smart, proactive operations. The retail sector utilizes big data to personalize customer experiences, analyzing shopping behaviors and preferences to tailor product recommendations and marketing strategies. This personalized approach not only increases customer satisfaction but also drives sales and loyalty, demonstrating big data’s impact on enhancing customer engagement and business growth.


Current Technology Readiness Level (TLR) of Big Data

Big Data has reached a Technology Readiness Level (TRL) of 9, indicating that it is fully mature and operational in real-world environments. This high TRL is attributed to several technical advancements and widespread adoption across various sectors. Firstly, the development of sophisticated algorithms and machine learning models has significantly enhanced data processing capabilities, allowing for the analysis of vast and complex datasets in near real-time. Secondly, improvements in storage technology, such as distributed databases and cloud storage solutions, have made it feasible to store and manage the exponentially growing volume of data generated daily. Furthermore, the advent of high-speed internet and advancements in computing power have facilitated the seamless collection, transmission, and analysis of big data, making it an integral part of decision-making processes in businesses, healthcare, and scientific research. The combination of these technological advancements has not only proven the feasibility and reliability of big data applications but also demonstrated their value in driving innovation, efficiency, and economic growth, thereby solidifying Big Data's status at the pinnacle of its technology readiness.


What is the Technology Forecast of Big Data?

In the Short-Term, advancements in Big Data are poised to focus on enhancing data processing speeds and improving data quality. Innovations such as in-memory computing and real-time analytics are expected to become more mainstream, enabling businesses to make faster, more informed decisions. Integration of AI and machine learning for predictive analytics will further refine the accuracy of data insights, offering more personalized and efficient solutions. Looking into the Mid-Term horizon, the development of more sophisticated data privacy and security measures will be paramount. As data volumes continue to grow exponentially, technologies like blockchain and advanced encryption methods will gain traction, providing more secure and transparent ways to manage and share data. Furthermore, the emergence of federated learning will allow for the development of more collaborative AI models without compromising data privacy, significantly enhancing the capabilities of Big Data analytics. In the Long-Term, the future of Big Data is expected to revolutionize with the advent of quantum computing. This breakthrough will dramatically increase data processing capabilities, enabling the analysis of complex datasets at unprecedented speeds. Quantum computing will unlock new potentials in fields such as genomics, climate modeling, and financial forecasting, where massive amounts of data can be processed and analyzed in real-time, opening up new frontiers in Big Data applications and insights.


Related categories of Big Data