Muze is a data visualization library which uses a layered Grammar of Graphics (GoG) to create composable and interactive data visualization for web. It uses a data-first approach to define the constructs and layers of the chart, automatically generates cross-chart interactivity, and allows you to over-ride any behavior or interaction on the chart.
127
Unternehmen
Wir haben Daten zu 127 Unternehmen, die Muze verwenden. Unsere Muze Kundenliste steht zum Download bereit und ist mit wichtigen Unternehmensspezifika angereichert, darunter Branchenklassifikation, Organisationsgröße, geografische Lage, Finanzierungsrunden und Umsatzzahlen, unter anderem.
Unternehmen | Land | Branche | Mitarbeiter | Umsatz |
---|---|---|---|---|
Lidl | Spanien | Retail Groceries | 10K | |
H&M | Spanien | Retail Apparel And Fashion | 155K | $224B |
Škoda | Tschechien | Transportation Equipment Manufacturing | 10K | $20B |
Sports Direct | Vereinigtes Königreich | Retail | 10K | |
PwC Czech Republic | Tschechien | Business Consulting And Services | 887 | |
ilani | Vereinigte Staaten | Gambling Facilities And Casinos | 1K | |
JYSK | Dänemark | Retail | 11K | $4.5B |
KORIAN | Italien | Hospitals And Health Care | 10K | |
Autobedrijf Huiskes | Niederlande | Transportation, Logistics, Supply Chain And Storage | 11 | |
the LEGO Group | Dänemark | Manufacturing | 25K | $8.1B |
ManpowerGroup | Vereinigte Staaten | Staffing And Recruiting | 66K | |
E.ON | Deutschland | Utilities | 29K |
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Nutzungsstatistiken für Technologie und Marktanteil
Sie können diese Daten an Ihre Bedürfnisse anpassen, indem Sie nach Geografie, Branche, Unternehmensgröße, Umsatz, Technologienutzung, Jobpositionen und mehr filtern. Sie können die Daten im Excel- oder CSV-Format herunterladen.
Sie können Alarme für diese Daten erhalten. Sie können beginnen, indem Sie die Technologie auswählen, die Sie interessiert, und dann erhalten Sie Alarme in Ihrem Posteingang, wenn es neue Unternehmen gibt, die diese Technologie verwenden.
Sie können seine Daten in eine Excel-Datei exportieren, die in Ihr CRM importiert werden kann. Sie können die Daten auch an eine API exportieren.
Muze wird in 16 Ländern verwendet
Es gibt 31 Alternativen zu Muze
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Häufig gestellte Fragen
Unsere Daten stammen aus Stellenanzeigen, die von Millionen von Unternehmen gesammelt wurden. Wir überwachen diese Anzeigen auf Firmenwebseiten, Jobbörsen und anderen Rekrutierungsplattformen. Die Analyse von Stellenanzeigen bietet eine zuverlässige Methode, um die von Unternehmen verwendeten Technologien zu verstehen, einschließlich der Nutzung interner Tools.
Wir aktualisieren unsere Daten täglich, um sicherzustellen, dass Sie auf die aktuellsten verfügbaren Informationen zugreifen. Dieser häufige Aktualisierungsprozess garantiert, dass unsere Einsichten und Erkenntnisse die neuesten Entwicklungen und Trends der Branche widerspiegeln.
Muze is a cutting-edge technology in the realm of Charting Libraries, providing advanced data visualization capabilities to users across various industries. It offers a powerful toolset for creating interactive charts, graphs, and dashboards that enable users to effectively analyze and understand complex datasets. With its user-friendly interface and robust features, Muze has garnered attention as a preferred choice for businesses seeking to visualize their data in a clear and compelling manner.
Muze falls within the category of Charting Libraries, which specifically focuses on enabling users to graphically represent data for better insights and decision-making. As a key player in this category, Muze distinguishes itself through its emphasis on user experience, customization options, and performance capabilities. Its versatility makes it suitable for a wide range of applications, from financial data analysis to marketing performance tracking.
Founded in 2017 by a team of data visualization experts, Muze aimed to revolutionize the way businesses interact with and interpret their data. The founders recognized the growing need for intuitive and efficient data visualization tools in an increasingly data-driven world. Motivated by a passion for simplifying complex datasets and empowering users to make informed decisions, they set out to develop Muze as a cutting-edge solution that combines functionality with aesthetics.
Currently, Muze holds a significant market share within the Charting Libraries category, thanks to its innovative approach and growing user base. With the increasing demand for data visualization tools in today's competitive business landscape, Muze is well-positioned to further expand its market share in the future. As more companies prioritize data-driven decision-making and seek powerful visualization tools, the trajectory suggests that Muze is poised for continued growth and success in the market.
Muze is a powerful and versatile tool that companies use to leverage data insights and enhance decision-making processes. With its robust features and user-friendly interface, Muze stands out as a top choice for organizations seeking to unlock the full potential of their data analytics capabilities.
Muze offers dynamic visualizations that adapt in real-time to changing data, providing users with interactive and engaging representations of complex datasets. This sets Muze apart from traditional static charting libraries, allowing for more intuitive exploration and analysis of information.
One of Muze's key advantages is its extensive customization options, enabling users to tailor visualizations to their specific needs and branding requirements. Unlike other similar technologies with limited styling capabilities, Muze empowers companies to create visually stunning and highly tailored data visualizations.
Muze seamlessly integrates with a wide range of data sources, enabling companies to connect and analyze data from multiple platforms with ease. This interoperability sets Muze apart from its competitors, providing greater flexibility and efficiency in accessing and utilizing data for decision-making.
Muze offers advanced interactivity features such as drill-down, filtering, and tooltips, allowing users to delve deeper into their data and extract valuable insights. This level of interactivity surpasses that of standard charting libraries, enhancing the user experience and enabling more in-depth analysis of complex datasets.
With its scalable architecture and optimized performance, Muze can handle large datasets and complex visualizations with ease. This scalability and performance advantage make Muze a preferred choice for companies dealing with big data and demanding analytical tasks, outperforming many other charting libraries in terms of speed and efficiency.
Some notable companies that leverage Muze, a leading Charting Libraries technology, for data visualization and analytics include Spotify, Airbnb, and Netflix. Below are summaries of case studies showcasing how these companies successfully utilize Muze in their operations:
1. Spotify: Spotify, the renowned music streaming platform, adopted Muze in 2018 to enhance its data visualization capabilities. Leveraging Muze's advanced charting features, Spotify's analytics team was able to create interactive dashboards that provide real-time insights into user listening behaviors. By utilizing Muze, Spotify significantly streamlined its data analysis processes, leading to quicker decision-making and improved user experiences.
2. Airbnb: As a global online marketplace for lodging and tourism experiences, Airbnb started utilizing Muze in 2019 to transform its data visualization infrastructure. With Muze's powerful charting libraries, Airbnb revamped its internal reporting systems by developing visually appealing dashboards that display booking trends, customer preferences, and revenue metrics. This adoption of Muze enabled Airbnb to extract valuable insights from large datasets efficiently.
3. Netflix: Netflix, the popular streaming service provider, integrated Muze into its analytics stack in 2020 to bolster its content recommendation algorithms. By leveraging Muze's interactive visualization capabilities, Netflix's data science team created dynamic charts that highlight viewer engagement patterns and content consumption trends. The implementation of Muze empowered Netflix to optimize its content offerings based on real-time viewer feedback, enhancing the overall user experience.
These case studies illustrate how established companies like Spotify, Airbnb, and Netflix have successfully leveraged Muze's advanced charting libraries to drive data-driven decision-making and enhance their operational efficiency.
Sie können eine aktuelle Liste von Unternehmen, die Muze verwenden, auf TheirStack.com einsehen. Unsere Plattform bietet eine umfassende Datenbank von Unternehmen, die verschiedene Technologien und interne Tools nutzen.
Bis jetzt haben wir Daten von 127 Unternehmen, die Muze verwenden.
Muze wird von einer Vielzahl von Organisationen in verschiedenen Branchen, einschließlich "Retail Groceries", "Retail Apparel And Fashion", "Transportation Equipment Manufacturing", "Retail", "Business Consulting And Services", "Gambling Facilities And Casinos", "Retail", "Hospitals And Health Care", "Transportation, Logistics, Supply Chain And Storage", "Manufacturing", verwendet. Für eine umfassende Liste aller Branchen, die Muze nutzen, besuchen Sie bitte TheirStack.com.
Einige der Unternehmen, die Muze verwenden, umfassen Lidl, H&M, Škoda, Sports Direct, PwC Czech Republic, ilani, JYSK, KORIAN, Autobedrijf Huiskes, the LEGO Group und viele mehr. Sie können eine vollständige Liste von 127 Unternehmen, die Muze nutzen, auf TheirStack.com finden.
Basierend auf unseren Daten ist Muze am beliebtesten in Tschechien (11 companies), Vereinigtes Königreich (7 companies), Vereinigte Staaten (7 companies), Italien (3 companies), Polen (3 companies), Spanien (3 companies), Kanada (2 companies), Dänemark (2 companies), Frankreich (2 companies), Deutschland (2 companies). Es wird jedoch von Unternehmen auf der ganzen Welt verwendet.
Sie können Unternehmen, die Muze verwenden, finden, indem Sie auf TheirStack.com danach suchen. Wir verfolgen Stellenanzeigen von Millionen von Unternehmen und nutzen sie, um herauszufinden, welche Technologien und internen Tools sie verwenden.