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Aurora, United States
51-100 Employees
1997
Successful knowledge analytics combines deep technical experience and insight to leading-edge business ways. Cloud Analytics Technologies, LLC team acts as extension of your product team, rigorously capital punishment your vision paying attention to code security, future-proof design, and intuitive user expertise. As an organization dedicated to product engineering, Cloud Analytics Technologies, LLC brings various vertical domain expertise and broad technology platform competencies, as well as cloud, Analytics, and SaaS development. To help shoppers meet the stress of these days and arrange for tomorrow, we provide the subsequent services. Work together with your team to deliver interfaces, unjust analytics and applications that ar specific to your business. Your systems are going to be inbuilt some way to accommodate your future growth while not additional prices through evolution instead of a replacement.
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CLOUD ANALYTICS TECHNOLOGIES LLC
... Cloud Analytics Technologies, LLC team acts as extension of your product ...
Irving, United States
11-50 Employees
2018
With rising expectations for service quality and speed from customers, data analytics has become essential for digitizing operations to improve business practices. An intelligent IT infrastructure is the backbone of any business.
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Cloud View Analytics – Cloud View Analytics
... Cloud View Analytics – Cloud View Analytics ...
Sydney, Australia
11-50 Employees
2005
We deliver reliable high-quality data driven innovative digital intelligence enterprise solutions, providing automated processing and creating full value from data with actionable insights to improve business performance and new business models for a long-term, sustainable competitive advantage. BiTech Group can streamline your analytics process to help you discover efficiencies within your business and derive meaning from your data — and improve business results. We provide access to a pre-selected pool of BI experts when you need them most. BiTech Group is the easiest solution for getting prompt consulting. From financial planning to sales and marketing, BiTech Group helps businesses make end-to-end decisions with confidence.
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Analytics Cloud
... Analytics Cloud Work within one Screen at any time without waiting on IT SAP Analytics Cloud is the next generation Software as a Service (SaaS) for Business Intelligence (BI), Planning, and Predictive Analytics capabilities in a single Cloud based product. Designed to answer business ...
Chapel Hill, United States
1-10 Employees
2020
We are specialized in cloud data warehousing solutions like Databricks and Snowflake. Solutions offering deep insights for effective business decision making. Abaxys Tech offers comprehensive cloud data services to enable small businesses to manage their data across their preferred cloud platforms like Amazon AWS, Microsoft Azure, and Google Cloud. Along with these services, we also offer design and development of cloud data warehousing for your cloud data. Abaxys Tech also offers cloud analytics solutions for small businesses that would like to leverage their data to help them generate more revenues, cut costs, and optimize their processes. We have expertise in solutions like PowerBI and Plotly, which are enabled by artificial intelligence. We also have our proprietary solution, ZingCRM, which helps us to offer these services at a fraction of the price typically charged by larger companies. Abaxys Cloud ERP is a 5th generation solution that has evolved over 3 decades.
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Abaxys Tech LLC
... Cloud Analytics ...
Nijlen, Belgium
1-10 Employees
2019
We are experts in Software development and Data analytics. We can provide engineers on a time and materials basis or develop a solution that will fit your needs from the scratch. That allows us to provide high quality grade of solutions that we deliver.
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Artificial Intelligence, Clouds, Data Analytics
... Artificial Intelligence, Clouds, Data Analytics ...
Chemnitz, Germany
11-50 Employees
2012
Wir liefern Ihnen die passende Lösung für Ihre Analytics Anforderungen. Bei Teamfact erwartet Dich ein motiviertes Team, das durch innovative Lösungen und neuste Technologien anspruchsvolle Projekte meistert. Teamfact ist für mich ein Motor für innovative Themen, der von kompetenten Berater:innen angetrieben wird. Dabei basieren unsere Beratungs- und Implementierungsdienstleistungen auf dem Produktportfolio der SAP SE. Im Auftrag der SAP SE halten wir als Experten Kurse zu verschiedenen BI-Themen in SAP-Schulungszentren und individuelle Schulungen bei Ihnen vor Ort. Die erste ECD im bayerischen Lenggries wurde in einer Ferienwohnung in der unmittelbaren Nähe der Berge ausgetragen, was an sich das einmalige Erlebnis darstellte.
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SAP Analytics Cloud
... Anfrage zum Thema: SAP Analytics Cloud ...
Shirley, United States
1-10 Employees
2018
Bring your product into the new world of cloud analytics with our robust, fully-integrated automation solutions. Our integrated system architecture leverages partnerships with key equipment suppliers to deliver at industry-leading pace. Rapidly deploy your new manufacturing process with our custom integrated solutions. Our integrated systems are designed, developed and built in-house by Kaiburr Systems. From only a vision to full-scale manufacturing, we’ll work with you to bring your product to life.
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Kaiburr Systems - Automation, Product Development, Software and more
... Uniting automation to cloud-intelligence Bring your product into the new world of cloud analytics with our robust, fully-integrated automation solutions. Learn More contact Us Custom Automation Fully-customized solutions tailored to your specific projects demands. Our custom designs can hit ...
San Francisco, United States
11-50 Employees
2015
Ignition Design Labs (IDL) is a home networking device and analytics company that develops smart, adaptable, sensor-driven, cloud analytics and proprietary DFS technology for single and mesh WiFi routers. IDL is built on a culture of dedication to real invention and true professionalism. IDL is driven by dedicated industry leaders that have consistently delivered innovative and market-ready solutions validated through rigorous research and development. This culture of novel ideas has expertly delivered carriers through all stages of hardware and software development, testing, and delivery with the goal of delighting consumers with premium quality Internet experiences without interruption. IDL introduced the award-winning Portal Smart WiFi Router in 2016 as its first consumer product.
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IgnitionDL - About
... Cloud Analytics ...
11-50 Employees
2010
We developed customer data warehouse in google Big Query for senior management and marketing which integrated customer loyalty data from a cloud point of sales system, Google Analytics 4 for mobile for customer event tracking. Persuasion Technologies was founded in 2010 based in Malaysia, Singapore, Philippines and Indonesia.
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Persuasion Technologies | Google Marketing Cloud, Analytics Partners, & Google Premier Partner
... Persuasion Technologies | Google Marketing Cloud, Analytics Partners, & Google Premier ...
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Skeedee - Cloud booking and analytics platform
... Skeedee - Cloud booking and analytics ...
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Some interesting numbers and facts about the results you have just received for Cloud Analytics
| Country with most fitting companies | United States |
| Amount of fitting manufacturers | 1041 |
| Amount of suitable service providers | 971 |
| Average amount of employees | 11-50 |
| Oldest suiting company | 1997 |
| Youngest suiting company | 2020 |
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Cloud analytics refers to the technological and methodological approach to data analysis and processing that occurs within a cloud-based environment, leveraging the vast computational resources and storage capabilities of the cloud. This paradigm shift from on-premise to cloud-based data analytics enables organizations to access, integrate, and analyze massive volumes of data from various sources in real-time, without the need for significant upfront capital investment in physical infrastructure. The scalability of cloud analytics allows businesses of all sizes to adapt their data processing capabilities as their needs evolve, ensuring that they can handle peak data loads without compromising performance. Additionally, cloud analytics platforms often come equipped with advanced analytics tools, including machine learning and artificial intelligence capabilities, which can uncover deep insights, predict trends, and improve decision-making processes. The impact of cloud analytics within its field is profound, as it democratizes access to powerful data analytics capabilities, fostering innovation and enabling more data-driven decision-making across industries. This shift not only accelerates the pace of business intelligence but also enhances the efficiency of operations, customer engagement strategies, and competitive positioning in the digital era.
1. Scalability
Cloud analytics offers unparalleled scalability, enabling businesses to easily adjust their resources according to data processing needs. This flexibility ensures that companies can manage large data volumes without investing in physical infrastructure, making it a cost-effective solution.
2. Accessibility
With data stored in the cloud, stakeholders have the advantage of accessing analytics from anywhere, at any time. This accessibility facilitates better decision-making processes, as relevant data and insights are readily available to team members across different locations.
3. Advanced Analytics Capabilities
Cloud analytics platforms often come with advanced analytics and machine learning capabilities built-in. This allows businesses to uncover deeper insights and predictive analysis, enhancing their strategic planning and competitive edge.
4. Cost Efficiency
By leveraging cloud analytics, companies can significantly reduce their operational and maintenance costs associated with data storage and analysis. The pay-as-you-go pricing model of cloud services ensures that businesses only pay for what they use, optimizing their investment in analytics technology.
5. Data Security
Despite common misconceptions, cloud analytics provides robust security features designed to protect sensitive information. Providers invest heavily in advanced security measures, including encryption and access controls, to ensure data integrity and compliance with regulatory standards.
While evaluating the different suppliers make sure to check the following criteria:
1. Scalability
Ensure the supplier offers a cloud analytics solution that can scale up or down based on your business needs without significant downtime or additional cost.
2. Security Features
Assess the security measures in place, including data encryption, access controls, and compliance with industry standards, to protect your sensitive information.
3. Data Integration Capabilities
The ability to seamlessly integrate with various data sources and formats is crucial for a holistic view of your business analytics.
4. Real-Time Analytics
Check for the capability to process and analyze data in real-time, enabling timely decision-making and insights.
5. Cost Efficiency
Evaluate the pricing structure to ensure it aligns with your budget and the total cost of ownership is reasonable for the value offered.
6. Customer Support and Service Level Agreements (SLAs)
Confirm the availability of responsive customer support and clear SLAs that guarantee performance and uptime metrics.
Cloud analytics has become a pivotal tool for businesses across industries, enabling them to harness the power of data for strategic decision-making. In the healthcare sector, it facilitates predictive analytics, allowing providers to anticipate patient needs, manage resources more efficiently, and improve outcomes through data-driven insights. This capability is crucial for enhancing patient care and operational efficiency. Within the realm of retail, cloud analytics empowers companies to analyze consumer behavior and trends in real-time. Retailers leverage this data to optimize inventory management, tailor marketing strategies, and enhance customer experiences. This targeted approach not only boosts sales but also strengthens customer loyalty. In the manufacturing industry, cloud analytics is instrumental in predictive maintenance. By analyzing data from machinery and equipment, manufacturers can predict failures before they occur, minimizing downtime and reducing maintenance costs. This proactive approach ensures smoother operations and greater productivity. The finance sector benefits significantly from cloud analytics through risk management. Financial institutions analyze vast amounts of data to identify and mitigate risks, ensuring compliance with regulatory requirements. This use case is vital for maintaining the integrity and stability of financial systems. Each of these use cases demonstrates the versatile and transformative impact of cloud analytics across different B2B contexts, underscoring its value as a tool for strategic enhancement and operational excellence.
Cloud analytics, a paradigm that leverages cloud computing to perform data analysis and processing, currently stands at a high Technology Readiness Level (TRL), estimated to be around TRL 8 to 9. This classification stems from the extensive deployment and integration of cloud analytics solutions across various industries, demonstrating fully functional capabilities in real-world environments. The technical underpinnings that anchor cloud analytics at this advanced TRL include its scalable computing resources, sophisticated data storage solutions, and robust analytics tools that can process vast datasets efficiently. These technical advantages facilitate the extraction of actionable insights from big data, driving informed decision-making processes. Furthermore, the maturity of cloud infrastructure, characterized by high reliability, security measures, and interoperability standards, supports the widespread adoption and effectiveness of cloud analytics. The evolution of machine learning algorithms and artificial intelligence (AI) technologies, seamlessly integrated into cloud analytics platforms, further cements its high TRL by enhancing predictive analytics and automating complex analytical tasks. This integration signifies a leap in technical capabilities, enabling businesses to harness the power of real-time analytics and predictive modeling with unprecedented ease and accuracy.
In the Short-Term, cloud analytics is set to evolve through enhanced integration capabilities, allowing businesses to effortlessly connect and analyze data across various cloud platforms. This period will witness significant advancements in real-time analytics, enabling companies to make quicker, data-driven decisions. The focus will be on improving user accessibility, ensuring that even those with minimal technical expertise can leverage the power of cloud analytics through more intuitive interfaces and automated data processing tools. Looking towards the Mid-Term, we anticipate the emergence of AI and machine learning algorithms that will further refine the analytic processes within cloud environments. These advancements will provide deeper insights and predictive analytics, enabling businesses to forecast trends with greater accuracy. The integration of these technologies will also facilitate more personalized user experiences, as analytics tools become capable of understanding and anticipating individual user needs and preferences. In the Long-Term, the future of cloud analytics is expected to be shaped by the advent of quantum computing. This revolutionary technology promises to exponentially increase processing capabilities, allowing for the analysis of vast datasets in a fraction of the time currently required. The implications for cloud analytics are profound, enabling more complex data models and simulations that could unlock new insights into customer behavior, operational efficiency, and market dynamics. This era will likely redefine the boundaries of data analytics, offering unprecedented opportunities for innovation and strategic decision-making.
Some interesting questions that has been asked about the results you have just received for Cloud Analytics
What are related technologies to Cloud Analytics?
Based on our calculations related technologies to Cloud Analytics are Big Data, E-Health, Retail Tech, Artificial Intelligence & Machine Learning, E-Commerce
Who are Start-Ups in the field of Cloud Analytics?
Start-Ups who are working in Cloud Analytics are Abaxys Tech
Which industries are mostly working on Cloud Analytics?
The most represented industries which are working in Cloud Analytics are Information Technology, Software, Data and Analytics, Professional Services, Internet Services
How does ensun find these Cloud Analytics 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.
