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Zollikon, Switzerland
1-10 Employees
At AviSwiss, we are passionate about earning customers for life. This means that we are committed to delivering compelling designs and flawless quality and reliability. AviSwiss shares a passion for customers and a competitive spirit that drives us to excellence. The philosophy of AviSwiss is to model and advocate its products as an avenue to mindfully enjoying life. AviSwiss is providing support for Safety Management System and Compliance Monitoring in combination of. AviSwiss is providing support for Safety Management System and Compliance Monitoring in combination of – Risk Assessement – Flight Safety and Accident prevention – Compliance Assurance – Auditing – Emergency Response Management. AviSwiss is a company providing state of the art software and services for the aviation industry. This vision unites us as a team each and every day and is the hallmark of our customer-driven culture.
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Flight Data Monitoring (FDM)
... Please contact us for more details and to support you setting-up your Flight Data Monitoring program. ...
Peterborough, United Kingdom
1-10 Employees
2004
Hardware Licensing is Not Required but Recommended for production.
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PLC Data Monitoring & Logging
... PLC Data Monitoring & ...
Olathe, United States
11-50 Employees
2002
Our products are used by Fortune 500 companies, government entities and educational institutions all around the world. And we are on a quest to build the very best monitoring software in the world. We are profitable, cash-flow positive, and don't have outside investors -- that means we can take the long view on all decisions. We are going to be around for a very long time :). When using our products, all of your data stays on your servers. Power Admin LLC has been building professional grade system monitoring products for many years (all products have been developed and improved for over 22 years). Life is hard enough -- we are striving to remove as much stress for our customers as we can by creating products that really help and simplify. Our flagship product PA Server Monitor has an enthusiastic following because of its simplicity and power.
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Powerful Disk and Data Monitoring
... Powerful Disk and Data Monitoring ...
Sydney, Australia
1-10 Employees
2017
BnbGuard is 100% Australian owned and operated with over 40 years of experience in the short-term rental market. BnbGuard is 100% Australian-owned and operated and we continue to improve and enhance our technology to bring you the most current data and insights available. BnbGuard has experience in helping hundreds of strata buildings and councils manage short-term rentals by providing the property insights you need to uphold the commercial rules of the building including security and compliance. We provide the most comprehensive consulting and technology available to help you manage short-term rental headaches like unwanted guests, noise complaints, security, worried and increased insurance costs. BnbGuard is 100% Australian-owned and operated and has been developed in partnership with Australian Strata Agents, building managers, owners corporations and facility managers. Increase your knowledge of short-term holiday rentals in your region with BnbGuard. In a moving short term holiday rental landscape, our experienced monitoring team provide property listing data with evidence based reporting to support councils in high tourism regions. Our data scraping technology offers insights to all major portals saving thousands in resources per year to capture increased revenue opportunities and tourism accommodation statistics.
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Short Term Holiday Rental Data Monitoring - BNB Guard
... Data monitoring specialists for the short term holiday rental industry. ...
Paris, France
1-10 Employees
2021
Telemonica is a digital health solution to simply collect real-world data and initiate remote patient monitoring for routine clinical care and research with eCRF and ePRO. Before joining Telemonica, Remy worked as a software engineer in the industry's leading tech companies including Apple and Dassault-Systemes. The company was founded in 2020 during the Covid-19 crisis. Our main goal is to promote science, while creating an intuitive product in the digital health industry.Our strong focus areas are Science, Product and Tech. Dr Robin Ohannessian is a medical doctor and global public health expert and entrepreneur from France. Antoine Lame is a co-founder and the CTO at Telemonica. Manage both your clinical research and innovative clinical pathways from a single platform.
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Telemonica - Real-world data and remote monitoring made easy
... Telemonica - Real-world data and remote monitoring made ...
Somers, United States
11-50 Employees
Our vision for IIoT and Industry 4.0 is to create a cultural shift where increased communication and productivity is embraced across all staff levels. The Excellerant team has spent the last three decades networking machines across hundreds of manufacturing plants. As the first-to-market pioneers of wireless DNC, we have a proven history of leadership at the forefront of manufacturing technology. Let your team focus on their core missions rather than spending time becoming domain experts on CNC connectivity – we have you covered. Macdac Engineering is founded as a reseller and installer of Easytalk, an MS-DOS based DNC and communication protocol for any machine tool. John Carpenter, former DNC Lead Systems Integrator, joins the Macdac team with a focus on internal technology development. A strategic partnership is formed with Forcam, a leading MES platform provider, bridging the gap to the Large Enterprise. Excellerant is a real-time machine data and communications platform designed to connect and integrate your entire manufacturing process.
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Machine Monitoring Data insights for Overall Equipment Effectiveness
... Machine Monitoring Data insights for Overall Equipment Effectiveness - ...
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Automation & Data Monitoring
... Automation & Data Monitoring – ...
Melbourne, Australia
1-10 Employees
1982
TainData makes data monitoring devices and software for growers of wine grapes, apples, pears, avocadoes, citrus, nuts, sugarcane, potatoes, grains, turf and more. The TainData Tierra is a data monitor for growers. Our technology is used by some of Australia's largest producers, as well as some leading boutique producers.
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We make data monitoring systems for growers.
... TainData – Powerful Soil Moisture Data Monitoring for ...
Boston, United States
1-10 Employees
At Data Culpa, we understand the importance of data quality and data observability. Mitch Haile, our co-founder, has worked in the data trenches on data pipelines for retail data, machine-generated data, computer vision, and analytics applications. He also has experience building solutions for complex data center environments, and has helped develop products for companies such as Data Domain (sold to EMC), Pancetera (sold to Quantum), and Conjur (sold to CyberArk). Mitch is a named co-inventor on over 25 granted patents for data compression, data optimization, and data security inventions. John Bennett, our other co-founder, has led marketing teams in Silicon Valley startups and consulted and written for leading technology companies such as Dell Boomi, Heroku, Proofpoint, SnapLogic, and Yubico.
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{JSON} Data Monitoring
... JSON Data Monitoring - Data ...
Technologies which have been searched by others and may be interesting for you:
Some interesting numbers and facts about the results you have just received for Data Monitoring
| Country with most fitting companies | United States |
| Amount of fitting manufacturers | 1284 |
| Amount of suitable service providers | 1006 |
| Average amount of employees | 1-10 |
| Oldest suiting company | 1982 |
| Youngest suiting company | 2021 |
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Data monitoring encompasses the systematic process of collecting, analyzing, and managing data to ensure its accuracy, completeness, and integrity over time. This practice is pivotal across various domains, especially in fields such as healthcare, finance, and information technology, where data quality directly influences decision-making, operational efficiency, and compliance with regulatory standards. Through the implementation of both manual and automated tools, data monitoring facilitates the early detection of discrepancies, anomalies, or trends within datasets, enabling organizations to preemptively address issues before they escalate into more significant problems. Moreover, by ensuring data reliability, data monitoring plays a crucial role in bolstering the confidence of stakeholders in the data-driven insights provided, thereby enhancing the overall strategic value of data assets. In the realm of big data and analytics, where vast volumes of data are processed and analyzed, data monitoring becomes indispensable in maintaining the veracity of data pipelines, thereby safeguarding the integrity of analytical outputs. Consequently, effective data monitoring not only mitigates the risk of data breaches and losses but also underpins the optimization of resources, improves the accuracy of predictive models, and supports the achievement of business objectives, thereby underscoring its integral role in the digital era's data-centric landscape.
1. Real-time Insights
: Data monitoring ensures that organizations have access to real-time insights, enabling them to react to changes and anomalies immediately. This is a stark contrast to alternative methods that often rely on periodic reviews, which can delay response times and potentially escalate issues.
2. Proactive Problem Solving
: With continuous data monitoring, companies can identify patterns and predict potential issues before they escalate into larger problems. This proactive approach is more efficient and cost-effective compared to reactive strategies, which typically involve solving problems after they have occurred.
3. Enhanced Data Quality
: Regular monitoring of data helps in maintaining high data quality by identifying and correcting errors or inconsistencies promptly. This benefit stands out against alternatives that may only review data quality at set intervals, potentially allowing errors to persist and impact decision-making.
4. Improved Compliance and Security
: Data monitoring tools are crucial for ensuring compliance with regulatory standards and for enhancing data security. They can automatically detect unauthorized access or data breaches, offering a level of vigilance that is challenging to achieve with less continuous oversight methods.
While evaluating the different suppliers make sure to check the following criteria:
1. Data Security Measures
Ensure the supplier has robust data security protocols to protect sensitive information from breaches and unauthorized access.
2. Scalability
The supplier's solutions should easily scale up or down based on your data monitoring needs without significant cost or time investments.
3. Real-time Data Monitoring Capabilities
Verify that the supplier offers real-time data monitoring to facilitate immediate detection and rectification of issues.
4. Compliance with Regulations
The supplier should comply with relevant data protection and privacy regulations applicable to your industry and location.
5. Customization Options
Assess the extent to which the supplier allows customization of their data monitoring tools to suit your specific requirements.
6. Integration Capabilities
The solution should seamlessly integrate with your existing systems and software to avoid data silos and ensure efficient workflows.
7. Technical Support and Service Level Agreements (SLAs)
Ensure the supplier provides reliable technical support and clear SLAs that match your operational requirements and expectations.
8. User Reviews and References
Consider feedback from current and past users to gauge the supplier’s reliability, customer service quality, and the performance of their solutions.
9. Cost Effectiveness
Evaluate the supplier's pricing structure to ensure it aligns with your budget while meeting your data monitoring needs effectively.
In the finance industry, data monitoring plays a crucial role in fraud detection and risk management. By continuously analyzing transaction patterns and user behavior, companies can identify unusual activities that may indicate fraudulent actions or potential security breaches. This real-time vigilance helps in mitigating risks and safeguarding both the institution's and clients' assets. Manufacturing sectors leverage data monitoring for predictive maintenance, ensuring machinery and production lines operate at optimal efficiency. By tracking the performance and condition of equipment, businesses can predict when a machine is likely to fail or require maintenance, thus preventing unplanned downtime and enhancing productivity. Healthcare organizations utilize data monitoring to improve patient care and operational efficiency. By analyzing patient data in real-time, healthcare providers can detect early signs of deterioration in a patient's condition, allowing for timely intervention. Additionally, monitoring the flow of patients and resources helps in optimizing hospital operations and reducing wait times. In the realm of IT and cybersecurity, data monitoring is indispensable for identifying and mitigating potential security threats. Constant surveillance of network traffic and system logs enables IT professionals to detect anomalies that could signify cyber attacks, ensuring that protective measures can be implemented swiftly to safeguard sensitive data. Lastly, in the logistics and supply chain industry, data monitoring aids in enhancing transparency and efficiency. By tracking the movement of goods in real time, companies can optimize routes, manage inventory levels effectively, and improve delivery times, leading to increased customer satisfaction and reduced operational costs.
As of my last update in 2023, data monitoring technology predominantly operates at a Technology Readiness Level (TRL) of 9, which signifies that it is fully mature and has been proven to work in operational environments. This high TRL is attributed to several technical advancements and widespread implementation across various sectors. Firstly, the development and refinement of Big Data technologies have facilitated the efficient processing and analysis of vast amounts of information in real-time, enhancing the effectiveness of data monitoring. Additionally, advancements in machine learning algorithms have significantly improved the accuracy of anomaly detection and predictive analytics within monitored data, enabling proactive decision-making. The integration of cloud computing platforms has also played a crucial role, offering scalable and flexible resources for data storage, processing, and analysis, thereby accommodating the exponential growth of data volumes. Furthermore, the evolution of Internet of Things (IoT) technology has expanded the scope and capability of data monitoring systems, allowing for the seamless collection of data from a multitude of sensors and devices in diverse environments. These technical reasons collectively underpin the current TRL of data monitoring, showcasing its maturity and the reliability of its application in real-world scenarios.
In the short term, advancements in data monitoring are poised to leverage artificial intelligence (AI) and machine learning (ML) more extensively. These technologies will enable real-time data analysis and anomaly detection, significantly improving response times to potential issues. Integration with cloud services will also enhance scalability and accessibility, allowing businesses to monitor data across multiple platforms seamlessly. Looking into the mid-term, the focus will shift towards predictive analytics and automation. Data monitoring systems will not only detect current issues but will also predict potential future anomalies and automate responses to certain triggers. This phase will see the emergence of more sophisticated AI models capable of understanding complex patterns and predicting outcomes with higher accuracy. The integration of Internet of Things (IoT) devices will further enrich data monitoring capabilities, providing a more comprehensive view of data across different environments. In the long term, the convergence of quantum computing with data monitoring will revolutionize the field. Quantum computing's ability to process vast amounts of data at unprecedented speeds will enable near-instantaneous data analysis, making real-time monitoring and decision-making more efficient than ever. Additionally, advancements in privacy-preserving technologies, such as homomorphic encryption, will ensure that data can be monitored and analyzed without compromising sensitive information. This will open new avenues for data monitoring applications in sectors where privacy is paramount, further expanding its utility and scope.
Some interesting questions that has been asked about the results you have just received for Data Monitoring
What are related technologies to Data Monitoring?
Based on our calculations related technologies to Data Monitoring are Big Data, E-Health, Retail Tech, Artificial Intelligence & Machine Learning, E-Commerce
Who are Start-Ups in the field of Data Monitoring?
Start-Ups who are working in Data Monitoring are Telemonica
Which industries are mostly working on Data Monitoring?
The most represented industries which are working in Data Monitoring are Information Technology, Manufacturing, Software, Professional Services, Hardware
How does ensun find these Data Monitoring 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.
