Yellowfin

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, 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.

Traditionally, insurers have been starved when it comes to underwriting data. They rely heavily on risk and pricing actuaries to underwrite their Protection products. And in the case of reinsurance firms, they need to provide additional data insights to insurers as part of their reinsurance process. Previously, underwriters might gain access to updated underwriting data on a monthly basis, and this data is crucial to understand how their rules have performed. So being able to analyse and make changes to their pricing rules, and deploy those changes into production, used to take months. Lead Consultant, Rikus van der Merwe of UnderwriteMe, explains, “We turn that feedback loop around in minutes, so underwriters can make changes to the rules engine and deploy those changes once they are tested and are completely happy with them. They can get Management Information (MI) feedback in fifteen minutes, which is previously unheard of.” For intermediaries, UnderwriteMe, wanted to break down the traditional, fractured sales process by delivering real-time underwriting. This means that when customers are comparing prices and products, they know that the premiums they are seeing are accurate, personalised, and fully underwritten by insurers.

C3 IoT provides a full-stack IoT development platform (PaaS) that enables the rapid design, development, and deployment of even the largest-scale big data / IoT applications that leverage telemetry, elastic Cloud Computing, analytics, and Machine Learning to apply the power of predictive analytics to any business value chain. C3 IoT also provides a family of turn-key SaaS IoT applications including Predictive Maintenance, fraud detection, sensor network health, supply chain optimization, investment planning, and customer engagement. Customers can use pre-built C3 IoT applications, adapt those applications using the platform’s toolset, or build custom applications using C3 IoT’s Platform as a Service.Year founded: 2009

Striim is an end-to-end streaming data integration and operational intelligence platform. The platform specializes in data integration across a wide variety of sources including change data from enterprise databases, log files, message queues, and IoT sensor data. With that difficult piece solved, Striim makes it easy to correlate across streams, detect anomalies, identify and visualize events of interest, and trigger alerts and workflows, all within milliseconds.Year founded: 2012Revenue: $1 to 10 million (2015)

IntelliSense.io aims to be the PARTNER of choice for industrial infrastructure owners & operators, to deliver a step change in productivity and efficiency within their plants, processes & people. They create Internet of Things (IoT) Applications to improve productivity and efficiency in capital and asset-intensive industries.Year founded: 2013

Scinan IoT is fully dedicated to research, develop new hardwares, softwares and solutions for Internet of Things.

Kingdee is a leader of enterprise management software and internet service in China and Asia Pacific region, and a leading provider of middleware, online management and life-cycle e-commerce service provider. Kingdee is committed to becoming the world’s leading management and IT integrated solutions service provider.Leveraging its insights into the nature of e-commerce in China, Kingdee focuses on enterprise PaaS and SaaS fields and building out the Kingdee Cloud ecosystem. Among Kingdee Cloud services, Kingdee Cloud, Cloud-Hub, Jingdou Cloud, and Guanyi Cloud are designed to meet the diverse needs of different enterprises.