Suppliers Australia Yellowfin
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Yellowfin

Australia
Melbourne
2003
Private
$10-100m
51 - 200
Open website
Yellowfin is a global Business Intelligence and analytics software vendor with a suite of world-class products powered by automation. Yellowfin is continually recognized as an innovator and is No. 1 in Embedded BI by BARC. In February 2019 Yellowfin was recognized for the sixth consecutive year in the 2019 Gartner Magic Quadrant for Analytics and Business Intelligence Platforms. Yellowfin is proud to be at the forefront of innovation in Augmented Analytics. Yellowfin’s latest Version 8 release includes Yellowfin Signals, an automated insights discovery product that is unique in its ability to tailor the insights to the role of each user, and Yellowfin Stories, a data storytelling product that allows users to embed live reports from multiple analytics platforms into a blog-style environment. More than 27,000 organizations and more than three million end-users across 75 countries use Yellowfin every day.
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Deliver a complete analytics experience:
The Yellowfin suite has been designed for data professionals to create exceptional analytic experiences for an organization's employees, customers or suppliers by enabling all stakeholders to share and act on data in a governed and secure way.

Suite Components:
Yellowfin has five core products all tightly integrated into a single analytics platform. Everything you need to create, deploy and manage analytics across the enterprise.
1. Yellowfin Dashboards
2. Yellowfin Data Discovery
3. Yellowfin Signals
4. Yellowfin Data Sotrytelling
5. Yellowfin Data Prep
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ANZ, Docomo, NHS, bmc, vodafone, Honda, Coca-Cola
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Yellowfin is a provider of Industrial IoT analytics and modeling technologies.
Technologies
Analytics & Modeling
Big Data Analytics
Yellowfin’s Technology Stack maps Yellowfin’s participation in the analytics and modeling IoT technology stack.
  • Application Layer
  • Functional Applications
  • Cloud Layer
  • Platform as a Service
    Infrastructure as a Service
  • Edge Layer
  • Automation & Control
    Processors & Edge Intelligence
    Actuators
    Sensors
  • Devices Layer
  • Robots
    Drones
    Wearables
  • Supporting Technologies
  • Analytics & Modeling
    Application Infrastructure & Middleware
    Cybersecurity & Privacy
    Networks & Connectivity
Technological Capability
None
Minor
Moderate
Strong
Number of Case Studies2
Auto IT Boosts BI Adoption by 40% with Yellowfin Integration
Auto IT, a leading B2B dealer management software system (DMS) company in the Australasian region, faced a significant challenge with its clients' reporting processes. Prior to adopting Yellowfin, Auto IT’s clients relied heavily on Microsoft Excel spreadsheets for reporting, a largely manual and inefficient workflow that was not mobile-friendly and lacked modern analytics features such as visualization. As an Independent Software Vendor (ISV) partner, Auto IT needed an analytics solution that could support its customers' growing analytical requirements. The inefficiencies and limitations of the existing reporting system were the primary drivers behind Auto IT's decision to seek a Business Intelligence (BI) and analytics solution.
Digital Planet Enhances Data Analytics with Cloud and Yellowfin
Digital Planet, a B2B2C enterprise, was facing challenges with its data warehouse performance due to its gradual expansion over the years. The company wanted to provide a better data analytics experience for its customers, with full self-service reporting capabilities. However, the performance degradation of its data warehouse limited its ability to offer additional data-related services to its customers during office hours. Data refresh was done every hour and updates could take as long as 20 minutes, slowing down the reporting environment for customers. As Digital Planet was looking to enhance its technology offering with both self-service reporting and embedded analytical reporting for its customers, it identified the clear need to optimize its current environment first. This required implementing the right analytics and business intelligence solutions in place that could fulfil all its various data-related objectives.
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