Overview

pKingold Group, established in the early 1990s, is a multinational enterprise dedicated to improving the quality of life for all. Headquartered in Guangzhou, China, with core businesses in diversified areas, including real estate, finance, health, education, hospitality and media, Kingold Group is dedicated to helping people create their ideal life. Most recently, the company has focused on expanding its health business, introducing state-of-the-art medical technologies into China and offering advanced health management services./p

Supernova Award Category

Tech Optimization and Modernization

The Problem

pTwo years ago, Kingold worked with an outdated legacy system for its data analytics, and the IT team needed to spend 80% of its time on maintenance and 20% on innovating its maintenance. They could only run about three analytics projects at a time because they didn’t have the resources or capabilities for more. Their system was very rigid and heavy, and if they pursued cross system analytics, they required an Excel spreadsheet team to combine reports, so they did not have the foundation nor capacity to innovate with analytics. /p pMore background:/p pTheir analytical capabilities were very limited with only two systems --  CRM and Hyperion -- connected with an analytical tool, Microsoft PowerBI and Oracle OBIEE in a siloed architecture, which was only capable of analyzing the data and datasets within the system. As Kingold diversified its business activities and required more data to be analyzed in a timely fashion, it became increasingly difficult to support the business units. In order to launch a new analytical project, the IT team would need to spend three months provisioning the required resources and construct a standalone and siloed “data warehouse” before even getting started, leading to missed opportunities. To solve these issues, the IT team would use Excel -- but this wasn’t a scalable or manageable solution. /p

The Solution

pKingold transformed from a three-tiered architecture to a cloud based architecture in a hyper-converged infrastructure with Oracle’s Cloud @ Customers, leading to scalability, data sovereignty, and manageability. With IaaS and PasS platforms incorporated, they focused on the data layer and used their cloud as a pluggable ecosystem with the potential to interact with AI and ML. Kingold adopted the Autonomous Data Warehouse, which decreased the amount of time it took to provision the resources for an analytical project from months to days. With Oracle’s data management capabilities, Kingold integrated as many systems as analytical purposes required. Now, Kingold has a central data warehouse that integrates with all of its systems where data is streamed in real-time or in batch depending on the business requirements. With Oracle Analytics Cloud, Kingold’s users are empowered with meaningful, actionable and monetizable data that can be accessed in any scale and format./p

The results

p-Kingold’s digital transformation resulted in a 3-tiered system to cloud, CapEx to OpEx, and reactive to proactive (data driven), transforming IT’s mission from maintenance to empowering the entire organization. /p p-With Oracle Analytics Cloud (OAC) and the Autonomous Data Warehouse, starting an analytical project is cheaper and faster, with some analytical work being delivered within a day. /p p-Kingold’s data now has a single source of truth and real-time analytics capabilities. /p p-There has been tremendous cost savings./p p-Kingold built a self-crawling housing market analytical model to provide its real estate business unit with real time housing market intelligence down to the granular level. This is particularly useful to the MA’s team in their early stage of real estate development projects, and led to significant cost savings. Their solution provides colleagues with a complete model that’s updated on a daily basis, enabling them to answer or meet project requirements in the early round of field work./p p-Kingold formed a Business Analysts and Operation team within the IT division to infuse data driven DNA into the organization. They modeled and digitized a key business unit’s operation. With the vast amount of data collected, they turn to OAC for extensive analysis for optimization and insight for upgrading their digital and physical services. The broader IT team now dictates 25% of this BU’s KPI./p

Metrics

pSince 2017, Kingold has been able to deliver 99.95%+ SLA with minimal maintenance work required. License fees were reduced by 75%. TCO was reduced by 25%. Kingold’s overall analyzable data increased by 50 times while the ETL period was reduced by 90%. In the last 18 months, they went from three analytical projects to 130+. In terms of business impact, the CRM x Sales analytical project increased sales opportunities by 25%, which would otherwise have been left undiscovered. They have 10 times more users now who, directly and indirectly, are empowered by data and analytics. /p

The Technology

p Kingold uses the following technology:/p p-Cloud @ Customer (2 x Oracle Cloud @ Customer, 1 x Exadata Cloud @ Customer, 1 x Big Data Cloud @ Customer)br / -Oracle Analytics Cloudbr / -Oracle GoldenGatebr / -ODIbr / -Oracle Management Cloudbr / -Oracle Databasebr / -Oracle Autonomous Databasebr / -OCI Gen 2br / -Oracle Identity Cloud Servicebr / -ODSbr / -DIPCbr / -Oracle Machine Learning Platform/p

Disruptive Factor

pKingold is committed to empowering its users with data. Currently, about 20% of its workforce is empowered by Oracle Analytics Cloud, directly and indirectly. Now, Kingold is finding ways to empower even more of the organization with data, including employees in the hospitality and service roles (including housekeeping, butlers, front desk, and security guards), making it possible for them to access relevant data from their smartphones in a timely and organized manner. Kingold packages the data from its data platform and delivers relevant data via a chatbot to chat groups. Democratizing data is transforming Kingold into a completely data-driven organization -- left to right, top to bottom, and all around./p

Shining Moment

pKingold manages car parks, which are a trove of data, including car makes, models, years, and colors. Before adopting Oracle Analytics, it would have cost $250,000 for the hardware implementation to mine the unstructured data and turn it into structured data. Now, they can link this campaign to OAC, spending $800 to analyze 250,000 images with AI with an accuracy of 90%, and process and recognize the car model and year for each image; and mine them successfully for rich data information./p