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It is a fully managed platform as a service (PaaS) that provides enterprise-grade data models in the cloud. Use advanced mashup and modeling features to combine data from multiple data sources, define metrics, and secure your data in a single, trusted tabular semantic data model. The data model provides an easier and faster way for users to perform ad hoc data analysis using tools like Power BI and Excel.
1,804
aziende
Abbiamo dati su 1,804 aziende che usano Azure Analysis Services. La nostra lista di clienti Azure Analysis Services è disponibile per il download ed è arricchita con specifiche vitali dell'azienda, incluse classificazione industriale, dimensioni organizzative, posizione geografica, round di finanziamenti e cifre di ricavi, tra gli altri.
Azienda | Paese | Settore | Dipendenti | Entrate |
---|---|---|---|---|
Department of Social and Health Services | Stati Uniti | Government Administration | 8.3K | $50M |
IBM | Stati Uniti | It Services And It Consulting | 309K | $61B |
EY | Regno Unito | Professional Services | 357K | $45B |
VISEO | Francia | It Services And It Consulting | 2.9K | $300M |
Shell | Regno Unito | Oil And Gas | 137K | $361B |
Venturi | Regno Unito | Staffing And Recruiting | 150 | $7.9M |
Cognizant Technology Solutions | Stati Uniti | It Services And It Consulting | 341K | $19B |
BDO | Belgio | Accounting | 66K | $12B |
Cognizant | Stati Uniti | It Services And It Consulting | 355K | $19B |
Microsoft | Stati Uniti | Software Development | 233K | $198B |
ROCKEN | Svizzera | Staffing And Recruiting | 68 | |
Vooq. | Paesi Bassi | Staffing And Recruiting | 6 |
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Azure Analysis Services è utilizzata in 38 paesi
Domande frequenti
I nostri dati provengono da offerte di lavoro raccolte da milioni di aziende. Monitoriamo queste offerte sui siti web delle aziende, sui portali di lavoro e su altre piattaforme di reclutamento. Analizzare le offerte di lavoro offre un metodo affidabile per comprendere le tecnologie impiegate dalle aziende, inclusi i loro strumenti interni.
Aggiorniamo i nostri dati quotidianamente per garantire che tu abbia accesso alle informazioni più aggiornate disponibili. Questo processo di aggiornamento frequente garantisce che le nostre intuizioni e intelligenze riflettano gli ultimi sviluppi e tendenze all'interno dell'industria.
Azure Analysis Services is a powerful cloud-based data modeling technology provided by Microsoft as part of their Azure suite. It enables users to create semantic data models that can be used for business intelligence analysis and reporting. By leveraging Azure Analysis Services, organizations can easily scale and adjust their analytical needs based on the volume and complexity of data they are dealing with.
Azure Analysis Services falls under the category of Business Intelligence (BI) tools. It focuses on helping businesses transform raw data into meaningful insights for making informed decisions. With features like data modeling, semantic modeling, data manipulation, and integration with other Azure services such as Power BI, it serves as a comprehensive solution for organizations looking to enhance their BI capabilities.
Azure Analysis Services was founded by Microsoft in 2016 to address the growing demand for cloud-based BI solutions. Motivated by the need to provide a scalable and efficient platform for data analysis, Microsoft developed Azure Analysis Services as a part of their broader Azure ecosystem. Over the years, it has evolved to become a key player in the BI landscape, offering advanced analytics capabilities in a cloud environment.
In terms of market share, Azure Analysis Services has been steadily gaining ground within the Business Intelligence category. With Microsoft's robust support, continuous updates, and integration with widely used tools like Power BI, it is poised for further growth in the future. As more organizations transition to cloud-based solutions and prioritize data-driven decision-making, Azure Analysis Services is expected to witness an increase in adoption and market share.
Azure Analysis Services is a powerful tool used by companies in the realm of Business Intelligence to drive data-driven decision-making and gain valuable insights. With Azure Analysis Services, organizations can efficiently process and analyze large volumes of data to uncover patterns, trends, and correlations that can inform strategic business actions.
Azure Analysis Services offers unparalleled scalability, allowing companies to seamlessly handle growing volumes of data without compromising performance. Unlike traditional on-premises solutions that require costly hardware upgrades to accommodate increased data loads, Azure Analysis Services can effortlessly scale up or down based on business needs, ensuring optimal performance at all times.
One of the key advantages of Azure Analysis Services is its cost-effectiveness. By leveraging the pay-as-you-go pricing model, companies only pay for the resources they use, eliminating the need for upfront hardware investments and ongoing maintenance costs. This cost-efficient approach enables organizations to maximize their ROI while effectively managing their BI infrastructure.
Azure Analysis Services seamlessly integrates with other services within the Azure ecosystem, such as Azure Data Lake Storage and Power BI, providing a comprehensive end-to-end BI solution. This native integration simplifies data workflows, enhances collaboration between teams, and streamlines the data analysis process, ultimately leading to faster and more informed decision-making.
Azure Analysis Services offers advanced analytics capabilities, including predictive modeling, machine learning, and natural language processing, empowering companies to extract actionable insights from their data. By harnessing the power of advanced analytics, organizations can uncover hidden patterns, forecast future trends, and gain a competitive edge in the market.
Azure Analysis Services provides robust security features and compliance certifications, ensuring that sensitive data is protected at all times. With built-in security controls, role-based access policies, and encryption mechanisms, companies can safeguard their data assets and meet regulatory requirements with confidence, mitigating the risk of data breaches and ensuring data integrity.
Azure Analysis Services is a powerful tool used by numerous companies across various industries to enhance their business intelligence capabilities. Here are some real-world case studies showcasing how companies leverage Azure Analysis Services to drive insights and make informed decisions:
1. Siemens Healthineers Siemens Healthineers, a leading medical technology company, utilizes Azure Analysis Services to analyze vast amounts of data generated from medical imaging devices and healthcare systems. By implementing Azure Analysis Services, Siemens Healthineers gained the ability to perform complex data analysis, optimize operational efficiency, and improve patient care outcomes. The company started using Azure Analysis Services in 2018 as part of its digital transformation initiative.
2. Rockwell Automation Rockwell Automation, a global provider of industrial automation and information solutions, adopted Azure Analysis Services to streamline its data analytics processes. With Azure Analysis Services, Rockwell Automation can now efficiently analyze manufacturing data, identify trends, and make data-driven decisions to optimize its production processes. The company integrated Azure Analysis Services into its operations in 2017, leading to significant improvements in data management and operational efficiency.
3. Rolls-Royce Rolls-Royce, a renowned aerospace and defense technology company, leverages Azure Analysis Services to analyze vast amounts of engineering and operational data. By utilizing Azure Analysis Services, Rolls-Royce enhanced its predictive maintenance capabilities, enabling proactive identification of potential issues in aircraft engines and other critical systems. The company implemented Azure Analysis Services in 2019, empowering its teams to extract valuable insights from data for better decision-making and operational excellence.
These case studies demonstrate how companies like Siemens Healthineers, Rockwell Automation, and Rolls-Royce leverage Azure Analysis Services to unlock the full potential of their data for improved business intelligence and operational efficiency. Through the seamless integration of Azure Analysis Services, these companies have transformed the way they analyze data, enabling them to stay ahead in their respective industries.
Puoi accedere a un elenco aggiornato di aziende che utilizzano Azure Analysis Services visitando TheirStack.com. La nostra piattaforma fornisce un database completo di aziende che utilizzano varie tecnologie e strumenti interni.
Fino ad ora, abbiamo dati su 1,804 aziende che utilizzano Azure Analysis Services.
Azure Analysis Services è utilizzato da una vasta gamma di organizzazioni in vari settori, inclusi "Government Administration", "It Services And It Consulting", "Professional Services", "It Services And It Consulting", "Oil And Gas", "Staffing And Recruiting", "It Services And It Consulting", "Accounting", "It Services And It Consulting", "Software Development". Per un elenco completo di tutti i settori che utilizzano Azure Analysis Services, si prega di visitare TheirStack.com.
Alcune delle aziende che utilizzano Azure Analysis Services includono Department of Social and Health Services, IBM, EY, VISEO, Shell, Venturi, Cognizant Technology Solutions, BDO, Cognizant, Microsoft e molte altre. Puoi trovare un elenco completo di 1,804 aziende che utilizzano Azure Analysis Services su TheirStack.com.
Secondo i nostri dati, Azure Analysis Services è più popolare in Stati Uniti (609 companies), Regno Unito (195 companies), India (69 companies), Canada (59 companies), Francia (52 companies), Australia (44 companies), Paesi Bassi (42 companies), Brasile (30 companies), Germania (29 companies), Spagna (26 companies). Tuttavia, è utilizzato da aziende in tutto il mondo.
Puoi trovare aziende che utilizzano Azure Analysis Services cercandolo su TheirStack.com. Tracciamo le offerte di lavoro di milioni di aziende e le utilizziamo per scoprire quali tecnologie e strumenti interni stanno utilizzando.