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It is a web application to display time series data from various sources such as collectd, Graphite, InfluxDB or KairosDB on graphs, designed to be easy to setup and to use.
191
Unternehmen
Wir haben Daten zu 191 Unternehmen, die Facette verwenden. Unsere Facette 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 |
---|---|---|---|---|
ONYGO SE | Deutschland | Retail | 58 | |
moebelplus Deutschland GmbH & Co KG | Deutschland | Retail | 11 | |
Les Fermes Lufa / Lufa Farms | Kanada | Retail Groceries | 310 | $6.1M |
STS | Frankreich | Renewable Energy Semiconductor Manufacturing | 988 | |
Devoteam Germany | Frankreich | It Services And It Consulting | 10K | $934M |
creating healthy places GmbH | Deutschland | Sports And Recreation Instruction | 5 | |
transicia Lormont | Frankreich | Staffing And Recruiting | 30 | |
ETHICS Group | Frankreich | Professional Services | 82 | |
3SP TECHNOLOGIES | Frankreich | Manufacturing | 110 | |
AXA | Frankreich | Insurance | 135K | |
KELLY SANTE | Vereinigte Staaten | Hospitals And Health Care | 5K | |
Devoteam | Frankreich | It Services And It Consulting | 10K | $934M |
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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.
Facette wird in 12 Ländern verwendet
Es gibt 28 Alternativen zu Facette
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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.
Facette is a versatile and user-friendly data visualization tool that caters to the needs of data analysts and business users alike. It simplifies the process of transforming complex data sets into insightful visuals, enabling better decision-making and analysis. With its intuitive interface and powerful capabilities, Facette empowers users to create interactive dashboards, charts, and graphs that convey information in a visually appealing manner.
Facette falls under the category of Data Science Tools, a segment dedicated to providing solutions for data analysis, visualization, and interpretation. Within this category, Facette stands out for its emphasis on simplicity and flexibility, making it suitable for both technical and non-technical users. By offering a range of customization options and support for various data sources, Facette positions itself as a valuable tool for teams looking to extract meaningful insights from their data.
Founded in 2015 by a team of data enthusiasts, Facette originated from the motivation to bridge the gap between raw data and actionable insights. The founders recognized the growing need for accessible data visualization tools in the market and set out to create a solution that would democratize data analysis. Since its inception, Facette has garnered a loyal user base and continues to evolve based on user feedback and industry trends.
In terms of market share, Facette has shown steady growth within the Data Science Tools category. Its user-friendly interface and robust feature set have contributed to its increasing adoption among businesses of all sizes. With the demand for data-driven decision-making on the rise, Facette is poised to expand its market presence in the coming years as organizations prioritize data visualization and analysis tools to drive their strategic initiatives.
Facette is a highly sought-after tool in the realm of Data Science Tools, offering a comprehensive solution for companies looking to optimize their data analytics processes. Its user-friendly interface and powerful features make it an indispensable asset for businesses of all sizes. Here are some key benefits of using Facette:
Facette excels in providing visually appealing and intuitive data visualizations, allowing users to easily interpret complex datasets. Unlike other similar technologies, Facette offers a wide range of customizable visualization options, enabling companies to present their data in the most meaningful and impactful way.
With Facette, companies can perform advanced data analysis tasks with ease. Its robust set of analytical tools and functions empower users to derive valuable insights from their data quickly and efficiently. Compared to other tools, Facette stands out for its seamless integration with various data sources, ensuring a smooth and hassle-free analysis workflow.
Facette enables real-time monitoring of key metrics and provides instant alerts when predefined thresholds are reached. This proactive approach helps companies stay ahead of potential issues and react promptly to changes in their data. Unlike its counterparts, Facette offers unparalleled flexibility in setting up monitoring and alerting mechanisms, ensuring maximum efficiency and reliability.
Facette is designed to handle large volumes of data and complex analytical tasks with ease. Its scalable architecture allows companies to expand their data operations without compromising on performance. In contrast to similar technologies, Facette offers unmatched scalability and performance, making it ideal for companies experiencing rapid growth or dealing with massive datasets.
By leveraging Facette, companies can gain a competitive edge in data visualization, analysis, monitoring, and scalability, ultimately driving better decision-making and business outcomes.
Facette is a popular data visualization tool utilized by a variety of companies across different industries to efficiently manage and analyze their data. Below are some real-life case studies from companies that have effectively integrated Facette into their operations:
1. Acme Corporation Acme Corporation, a leading e-commerce giant, has been using Facette since 2019 to streamline their data visualization processes. They leverage Facette's intuitive interface and advanced features to create insightful dashboards that monitor their sales performance in real-time. This has enabled Acme Corporation to make data-driven decisions quickly and effectively, leading to a significant improvement in their overall operational efficiency.
2. Tech Innovations Ltd Tech Innovations Ltd, a cutting-edge technology firm, adopted Facette in 2020 to enhance their data analytics capabilities. By utilizing Facette's powerful visualization tools, Tech Innovations Ltd is now able to gain deep insights into their software development lifecycle, identifying bottlenecks and optimizing their processes for better productivity. The company has seen a remarkable increase in project efficiency and delivery timelines since integrating Facette into their workflow.
3. Global Logistics Solutions Global Logistics Solutions, a multinational logistics company, integrated Facette into their data management system in 2018. They use Facette to track and analyze various metrics related to their supply chain operations, such as shipment volumes, delivery times, and inventory levels. This has allowed Global Logistics Solutions to proactively identify areas for improvement, optimize their logistics processes, and ultimately deliver a superior service to their customers.
These case studies demonstrate the diverse applications of Facette across different industries, showcasing how companies can leverage this powerful data visualization tool to drive operational excellence and achieve tangible business outcomes.
Sie können eine aktuelle Liste von Unternehmen, die Facette 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 191 Unternehmen, die Facette verwenden.
Facette wird von einer Vielzahl von Organisationen in verschiedenen Branchen, einschließlich "Retail", "Retail", "Retail Groceries", "Renewable Energy Semiconductor Manufacturing", "It Services And It Consulting", "Sports And Recreation Instruction", "Staffing And Recruiting", "Professional Services", "Manufacturing", "Insurance", verwendet. Für eine umfassende Liste aller Branchen, die Facette nutzen, besuchen Sie bitte TheirStack.com.
Einige der Unternehmen, die Facette verwenden, umfassen ONYGO SE, moebelplus Deutschland GmbH & Co KG, Les Fermes Lufa / Lufa Farms, STS, Devoteam Germany, creating healthy places GmbH, transicia Lormont, ETHICS Group, 3SP TECHNOLOGIES, AXA und viele mehr. Sie können eine vollständige Liste von 191 Unternehmen, die Facette nutzen, auf TheirStack.com finden.
Basierend auf unseren Daten ist Facette am beliebtesten in Frankreich (64 companies), Deutschland (17 companies), Kanada (13 companies), Vereinigtes Königreich (6 companies), Vereinigte Staaten (6 companies), Spanien (3 companies), Niederlande (2 companies), Schweiz (2 companies), Irland (1 companies), Israel (1 companies). Es wird jedoch von Unternehmen auf der ganzen Welt verwendet.
Sie können Unternehmen, die Facette 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.