Information Visionary

This category aims to award the technology program or project which has enabled discernible and measurable excellence in the organization’s ability to treat data and information as critical assets. Leaders in this category invest in a range of technology and people to distill insight into monetary value, mastering syntax, semantics, and socialization. These organizations focus on extracting and developing the value and utility of information relative to customers, markets, transactions, services, products, physical assets, and business experiences. They often invest in the establishment of organizational competencies focused on leveraging data for improved decision making, collaboration, competitive advantage, and ultimately, data monetization. Their leading KPI is the percentage of revenue generated from information-based products, experiences, and services. There are 4 major areas where these companies thrive:

  • Data Discovery
  • Value Development
  • Value Realization
  • Information Architecture

 

To adapt to the evolving nature of the digital economy, this category is now known as Best in Future of Intelligence.

Want to read up on the other categories? Head over to our Awards Categories page.

WINNERS' CIRCLE

CompanyStudent Loan Fund, Ministry of Finance
CountryThailand
Year2020
The Student Loan Fund (SLF), which operates under Thailand's Ministry of Finance, is a circulating fund that provides loans to students who need financial support, have good academic performance and standing, and are currently enrolled in SLF's supported fields of study. Previously, disconnected systems caused a lot of complicated and time-consuming actions, and loan processes were prone to human error. To address this situation, SLF launched its Digital Student Loan (DSL) program to transform digitally the organization in February 2019. DSL is a new digital platform that the organization has put in place to support its mission to become completely digitized and automated. The platform emphasizes borrower centricity by transforming the way data and documents are collected, organized, and analyzed. Key processes and information involve borrowing, loan/debt management, litigation, and enforcement management systems. Through a centralized database, all internal and external data that pertain to student loans from sources, such as the Department of Provincial Administration, the Revenue Department, and Legal Execution Department, are easily matched to drive the decision-making process. Supplemented by tools and technologies, such as big data and analytics (BDA), mobile app for e-know-your-customer (e-KYC), edocument/econtract, epayments, and automated credit scoring, DSL has increased revenues by 15%, improved productivity by 50%, and recorded a 20% boost in customer loyalty.
CompanyE.SUN Bank
CountryTaiwan
Year2020
E.SUN Bank is the first financial institution in Taiwan to establish a digital banking division and own exclusive partnerships with several international third-party payment companies. E.SUN Bank has optimized customer experience (CX) with digital services and has incorporated artificial intelligence (AI) into its core business to develop a new business model called "AI inside, human outside." To enhance CX further, E.SUN Bank initiated its Machine Learning as a Service (MLaaS) project to assist its digital transformation (DX) and support multiple cross-unit projects for re-engineering business processes. MLaaS encapsulates all complex data, features, models, and application programming interface (API) management, enabling the design and implementation of new APIs that cover different areas, such as risk management, fraud detection, personalized recommendations, and process automation. MLaaS acts as a bridge between developers and customers, thereby refining the bank's business model, enhancing productivity, and enabling the provision of real-time AI services and tailor-fit offerings to maximize customer satisfaction. With MLaaS, designing and implementing new APIs are executed within days, and the bank believes that its experience with MLaaS can be replicated in a wider market because of this project’s simple design philosophy, universal applications, and demonstrable benefits.
CompanySATS
CountrySingapore
Year2020
From airfreight, baggage, and ramp handling, passenger services, aviation security, cargo, warehousing, and perishables handling to cruise handling and terminal management, SATS offers a full spectrum of customized gateway services to its clients. To provide relevant information, such as the arrival and departure gates' proximity, possible airport restrictions, and return flight details to airport personnel, SATS introduced AIDeMS, an artificial intelligence (AI)–assisted decision-making tool. It facilitates decision making by processing different data streams, using historical data, and providing recommendations. The tool checks and cross-checks all details, including passenger onward connections, affiliations to joining passenger groups, other affected passengers' itineraries, and onward flight details. AIDeMS uses all retrieved data, combines the information for better awareness, and then proceeds to recommend a suitable course of action for the operations team based on established standard operating procedures. Users can assess all relevant data on a single screen, which shows the information's implications and consequent possible options. AIDeMS' benefits include improved passenger connection rates and more consistent and structured decision making. Over time, the tool will become more astute, especially as it learns and adapts from staff members' decisions, with misconnections reduced by 10%.
CompanyPhilam Life
CountryPhilippines
Year2020
AIA Group is the largest independent publicly listed pan-Asian life insurance group. Operating as Philam Life in the Philippines, its digital transformation (DX) strategy puts emphasis on improving customer experience (CX) and enabling access to products and services across multiple platforms at any given time. As part of its technology, digital, and analytics and artificial intelligence (AI) (TDA) groupwide strategy, Philam Life deployed Fusion, a proprietary AI underwriting engine, whose purpose is to enhance automation processing and triage abilities based on customer data and analytics. The first of its kind, Fusion learns simple underwriting decisions so that human underwriters can focus on more complex cases that require deep expertise. Fusion’s machine learning (ML) capabilities bring further uplift to automation rates. It measures customer-level underwriting reason codes, in which underwriters have transparent statistics to allow for further ML enhancements to increase analytical and processing rates with customers. This function generates and speeds up detailed insights at the level of all customers. These insights are stored structurally, tracked, traceable, and usable (as regulations and internal policies permit) to inform other levels of analytics and business and operational decisions along the insurance value chain. Because of Fusion, Philam Life reaped tremendous benefits, including millions in technology cost savings, near-complete automation of incoming cases, and skills upgrade of IT offices through AI.
CompanyMalaysia Ministry of Health
CountryMalaysia
Year2020
The Malaysia Ministry of Health aims to assist Malaysians in achieving, sustaining, and maintaining their health to facilitate economically and socially productive lifestyles. The Ministry of Health is responsible for promoting and providing preventive approaches as well as efficient treatment and rehabilitation services to citizens. Previously, the collection of national health data was done manually, with siloed electronic systems in place. To address this, the ministry established the Malaysian Health Data Warehouse (MyHDW), which was modeled after best practices from various developed countries and in consultation with international bodies, such as the World Health Organization (WHO), United Nations Children's Fund (UNICEF), and United Nations High Commissioner for Refugees (UNHCR). As the national healthcare information gathering and reporting system, it covers all government and private healthcare facilities and services and produces high-quality, integrated, comprehensive, and timely health information. Furthermore, it complies with all security and privacy guidelines issued by the Malaysian government, such as the Malaysian Administrative Modernisation and Management Planning Unit (MAMPU) and Cyber Security Framework or Public Sector (RAKKSSA), as well as International Organization for Standardization (ISO) standards. MyHDW is critical to managing a healthcare system and is a key vehicle for data linkage and integration. It unifies health data from government, private, university, and military hospitals as well as public and private clinics. Through granular data collection, the Ministry of Health can now better conduct research and planning and achieve better health outcomes for Malaysians.
CompanyKookmin Bank
CountryKorea
Year2020
Kookmin Bank, KB Financial Group's principal subsidiary, is one of South Korean's largest banks. As part of its digital transformation (DX), it developed KB-Albert, the country's first financial terminology learning model in the banking, financial services, and insurance (BFSI) sector. As a financial institution, Kookmin Bank's amount of unstructured data available inside and outside goes beyond the level that individuals can acquire, select, understand, and interpret. With this, KB-Albert acts as the brain for internalized core technologies, such as natural language understanding (NLU) and natural language generation (NLG) by providing developers model support. Moreover, the learning model is also the foundation for employees focusing on the bank's core business. Kookmin Bank plans to apply KB-Albert to its internal projects, such as call bots, chatbots, and unstructured text, to nurture the company's development. With the model, the bank can also sustain its position as an industry leader through internalizing core technology and open innovation. As a learning model, KB-Albert created an ecosystem that includes enterprises, start-ups, and research institutions. Thereafter, Kookmin Bank is poised to provide expertise and technical support to these entities in developing the data/artificial intelligence (AI) market, thereby implementing a virtuous cycle of mutually beneficial growth.
CompanyBukalapak
CountryIndonesia
Year2020
Bukalapak is one of the largest ecommerce companies in Southeast Asia and has served as a marketplace for individuals and small business owners on its online-to-offline (O2O) platforms since 2010. Seeing the large unbanked population in Indonesia, Bukalapak has committed to provide a fair economy for all, leveraging digital technologies to provide alternative financial solutions. With over 90 million users and 2 million daily transactions on its platform, Bukalapak has accelerated its digital transformation (DX) initiatives to help further shape the financial future of its customers. In 2018, Bukalapak launched BukaReksa, a suite of mutual fund products that offers microinvesting features to the financially underserved market. With its users unfamiliar with mutual funds, Bukalapak makes use of big data and analytics, artificial intelligence (AI), and machine learning to uncover insights from hidden patterns, correlations, market trends, and customer preferences to better serve these users. BukaReksa mutual fund products are managed by investment managers supervised by the Financial Services Authority of Indonesia (OJK). Through BukaReksa, Bukalapak demonstrates its pioneering efforts in delivering breakthrough investment innovations to further financial inclusivity in Indonesia.
CompanyKotak Mahindra Bank
CountryIndia
Year2020
Kotak Mahindra Bank was established in 2003, after Kotak Mahindra Finance Limited (KMFL) received its banking license from the Reserve Bank of India (RBI). Through data-driven digital transformation (DX), the bank aims to consolidate its nine locations into a centralized hub for customers, improve turnaround time for customer transactions through automated data extraction and processing, and enhance accounting and end-to-end reconciliation. Through cognitive machine reading (CMR) and a full-stack intelligent automation platform using fractal science technology, the bank can handle high volumes of high-value transactions in corporate fund transfers from multiple accounts, eliminating manual processes and reducing human errors. Before this platform, individual decision makers and checkers throughout the bank's locations manually processed these transactions. The platform combines data ingestion, robotic process automation (RPA), machine learning (ML), and artificial intelligence (AI) to deliver straight-through processing. The platform can also read structured, unstructured, and inferred data, images, handwritten text, and signature verifications, among others. It can also harvest and process data efficiently, automate entire business processes without human assistance, and produce actionable key business insights. Since the platform's implementation, Kotak Mahindra Bank has recorded an 80% reduction in manual entry and human errors, showing data accuracy improvement.
CompanyOrient Overseas Container Line
CountryHong Kong
Year2020
Headquartered in Hong Kong, Orient Overseas Container Line (OOCL) is one of the world's largest integrated international container transportation and logistics companies, with over 120 offices in more than 100 major cities. Delivering cargo on time and in quality condition for customers while managing costs has always been a top priority of OOCL. For refrigerated (reefer) cargo, it is especially critical to maintain its product freshness and integrity in a secure, temperature-controlled environment, and within tight delivery windows. In September 2019, OOCL launched a digital transformation (DX) initiative that improved both the internal operations of managing reefer containers and provided a customer window for shippers to monitor their reefer containers with real-time visibility. By deploying an Internet of Things (IoT) solution through MyOOCLReefer, OOCL found a new way to save manual pre-trip inspection (PTI) costs with artificial intelligence (AI)–enabled monitoring, reduce time spent validating proper operating condition of containers with fewer false alarms for deviations, and provide enhanced visibility for customers through a live monitoring tool with delivery time updates. Moreover, the DX initiative has been particularly valuable during the COVID-19 pandemic to keep the safe flow of refrigerated food and pharmaceuticals moving despite disruptions caused by labor shortages, surges in demand, and delays and congestion at terminals and storage facilities throughout the supply chain. 
CompanyTongji Medical College, Huazhong University of Science and Technology, National Clinical Research Center of Gynecology and Obstetrics
CountryChina
Year2020
The Tongji Medical College, Huazhong University of Science and Technology is a national clinical research center for gynecological diseases jointly recognized by the Ministry of Science and Technology, the National Health and Family Planning Commission, and the Ministry of Health General Logistics Department. It aims to take the lead in integrating clinical resources in this field on all levels and develop a collaborative innovation network platform for clinical research in gynecological diseases. To carry out multicenter and large-sample clinical research, solve key scientific problems on gynecological diseases, formulate standardized diagnosis and treatment plans, promote the transformation of results, and spread them to primary medical institutions, the NUWA platform forms a synergy from basic research to clinical research to application promotion in China and innovates the network to comprehensively improve the level of clinical services for gynecological diseases. The NUWA platform is the first multicentric real-world data (RWD) platform of China for gynecological tumor diseases, which include multiomics clinical and genetic data. Based on ensuring data security and compliance, the platform applies big data and artificial intelligence (AI) technology to manage multisource, heterogeneous, unstructured medical clinical data and then build a multicentric big data platform that can be ready for various purposes and research. Furthermore, the NUWA platform will establish a flexible common disease model that can realize the intelligent transformation from clinical data to research-ready data. With NUWA, Huazhong University of Science and Technology can be a global player in the field of medicine.
CompanyNew Zealand Inland Revenue Department
CountryNew Zealand
Year2020
The New Zealand Inland Revenue Department (IRD) plays a critical role in contributing to the economic and social well-being of New Zealanders. Its comprehensive multiyear transformation project features a well-integrated digital transformation (DX) strategy and road map that is constantly evolving with information management at the DX strategy’s core. Information transformation is infused into all stages of the road map with the objective of removing information silos and barriers to enable better services to stakeholders. The transformation program includes IRD's new technology platform, START, a modern, resilient, and configurable platform that integrates tax and social policy products. In addition, a new data and intelligence platform (DIP) has enabled vast and varied data collection to facilitate quicker responses in emerging trends and inform decisions, complementing analytical capabilities available in START to tailor-fit proactive interventions for customers. Other new tools include information and knowledge management capabilities, advanced analytics and approaches, and improved business intelligence and reporting. The program also includes a focus on creating an inclusive culture that is customer-centric, agile, and intelligence-led, with IRD supporting customers and staff through significant training and communications programs to articulate the benefits of IRD's modern revenue technology program. For the fiscal year that ended in June 30, 2020, IRD collected US$76.1 billion — over 80% of Crown Revenue. IRD has successfully transformed New Zealand’s revenue system by changing every aspect of the way the system operates while maintaining consistent and uninterrupted services in collecting tax and paying entitlements.
CompanyBank of Ayudhya (Krungsri)
CountryThailand
Year2019
Smart Advisor on the Krungsri Mobile App is an advanced artificial-intelligence-based (AI-based) feature that assists clients in achieving financial wellness. Through a series of questions, Smart Advisor analyzes the customer's investment goals to build an investment portfolio based on the customer's risk level — from conservative to aggressive — in proportion to given criteria. Krungsri developed an application programming interface (API) to calculate asset allocation based on the Black-Litterman Model. Smart Advisor uses both artificial and human intelligence, and was fully developed using the framework of DevOps and microservice architecture. The bank has also partnered with fintechs to provide a full range of services for investments, and through the Smart Advisor, it offers advisory services, asset allocation, online transactions, investment tracking, comparison of existing portfolio against recommendations, instant notifications, and mutual fund account opening. Smart Advisor is an effective low-cost advisor on the Krungsri mobile app, which is the first one-stop service mobile banking application in Thailand's financial industry. At the end of 2018, the subscription volume of mutual funds via this mobile channel was THB 13,000 million, representing growth close to 300%.
CompanyThe Siam Commercial Bank Public Company Limited
CountryThailand
Year2019
In 2016, Siam Commercial Bank (SCB), Thailand's largest commercial bank, embarked on its multi-year transformation journey to strengthen its competitive edge, with data-driven transformation as one of its primary objectives. Leveraging best-in-class data and analytics capabilities to enhance customer experience, SCB launched the Business Intelligence (BI) Transformation program, which comprehensively addresses technology, organization, people, and change management. The BI Transformation program features a new data and analytics operating model, as well as a Hadoop-based data lake, data visualization and virtualization tool, and data lab for data science modeling. More importantly, the bank has addressed change management with a series of programs targeted at driving user adoption. To scale, SCB migrated its on-premise data lake to cloud, while a model management tool was also implemented for analytical models management. To support this initiative, SCB has grown a strong pool of data engineers and scientists, as its new data lake manages data up to 61% more efficiently. Overall, SCB's BI Transformation program has lowered total cost of ownership (TCO), promoted data sharing and usage in a governed environment, and improved use of data science and machine learning to drive the bank's desired business outcomes.
CompanyCTBC Bank
CountryTaiwan
Year2019
CTBC Bank is the first bank in Taiwan to issue credit cards and set up a customer service center. As one of the largest privately owned banks in the country, it owns more than 1,000 seats for both inbound customer service and outbound telemarketing business. Generating around 700,000 calls with more than 50,000 hours of voice records on a monthly basis, CTBC Bank was plagued with fragmented and low-quality inspections and manual processes. Upon realizing that the speech records hold vast amounts of customer data, it pioneered the development of the Intelligent Speech Processing Platform (ISPP). The ISPP is a part of CTBC Bank’s business strategy and is a core platform service focusing on the resolution of speech data in terms of processing and analysis. Established in 2018, the ISPP contains comprehensive technologies, including automatic speech recognition, speech to text, natural language processing, machine learning, and deep learning algorithms. Its goal is to integrate scattered technologies and design a scalable platform to fulfill business needs, such as intelligent speech inspection and customer insight analysis. With the ISPP in place, CTCB Bank improved speech quality inspection coverage to 100% and reduced holding time for incoming calls by 10%.
CompanyZuellig Pharma
CountrySingapore
Year2019
Perpetrators of counterfeit medicine and gray market trading are getting more sophisticated and prevalent, with 10% to 30% of medicines in low- to middle-income countries found to be falsified or substandard. In the past, tracking down such products was a manual process involving multiple stakeholders across the supply chain and could take up to weeks. Zuellig Pharma, one of Asia’s largest healthcare services providers, has developed the mobile app–based solution eZTracker, which harnesses the power of blockchain technology to address counterfeit products, cross-border trading, and product recalls. The app empowers anyone with a mobile phone — from patients to healthcare professionals or regulators — to trace medicine to its manufacturer and country of origin within seconds. This user-friendly solution is backed by a robust infrastructure, with the chain code and distributed ledger built on Hyperledger, whereas the smart contract layer and design cater to the different information requirements of each player in the supply chain. A massive parallel processing database engine powers the ability for downstream end users to scan the barcodes of medicine products through eZTracker. Unregistered products detected will trigger automatic alerts to notify manufacturers and Zuellig Pharma on where the supply chain was breached.
CompanyUnited Overseas Bank
CountrySingapore
Year2019
The UOB enterprise data strategy and analytics transformation program under the Data Management Office (DMO) aims to drive the adoption and ongoing use of data and analytics across the bank for smarter, faster, and more accurate decision making. This is done through a holistic approach that focuses on people, process, technology, and data. As part of the program, UOB set up the BDAC as a center of excellence to deepen the organization’s data analytics capabilities and provide effective business intelligence solutions for business functions across the bank. UOB also brought together people with expertise in areas such as analytics, technology, finance, and risk to form a multidisciplinary agile team that focuses on delivering data and analytics solutions for the organization. In addition, the bank has been equipping leaders in key markets, including China, Indonesia, Malaysia, and Thailand, with the knowledge and skills to develop local data strategies and gain local insights through the use of self-service business intelligence tools.
CompanyP&G Asia Pacific, Middle East & Africa
CountrySingapore
Year2019
Procter and Gamble (P&G) is one of the fastest growing fast-moving consumer goods companies in Asia/Pacific. P&G has been at the forefront of leveraging digital for disrupting brands and go to market in Asia/Pacific, Middle East, and Africa. It has invested millions of dollars in its digital innovation center in Singapore in partnership with the Singapore Economic Development Board (EDB). In addition, P&G has also established its own incubation program as well as technology event ONward, partnering with industry partners and start-ups to solve key business challenges in P&G through internet of things (IoT), AI, blockchain, cloud, robotics, and others. Its end-to-end data strategy disruption has been in consumer, customers, and supply chain, using such technologies as cloud, big data, IoT, and data science to fuel growth and develop new models. The data strategy encompasses holistic end-to-end planning and information-driven models and algorithms that help accelerate growth and maintain its market leadership position. The use of a unified market and category data strategy has driven a step change in organizational productivity and faster accessibility to insights. A modern in-house datacenter of excellence has been established, with modern cloud architecture and P&G’s big data lake in Asia/Pacific. This was complimented with predictive models and extreme data science and engineering organization. The intervention has helped change organization productivity and driven the agility of insights from a monthly to daily cycle while democratizing data access for employees and monetizing insights with P&G growth, share leadership, best reach, and productivity.
CompanyPhilippine Rice Research Institute
CountryPhilippines
Year2019
Since 2017, PRiSM is the first to implement a nationwide satellite imaging and information and communications technology‒based rice monitoring system in Southeast Asia. PRiSM generates digital rice-planted area maps from time-series earth images using remote sensing technology. It also extracts information, such as rice area planted, planting dates, and extent of rice fields affected by flood and drought using digital cartography. Rice yield estimates are produced from digital information derived from processed satellite images, ground data collected using mobile technology applications, and crop growth simulation models. With this, PRiSM supports the Philippine Department of Agriculture (DA) in strategic planning, decision-making, development project implementation, and disaster preparedness through the provision of near real-time information. Digital technologies, such as earth observation satellites, communication systems, computer application programs, and electronic sensors, are used by PRiSM during the process. Through this initiative, the system helps DA fulfill its vision of a technology-based agriculture that will empower the farming communities to produce adequate, accessible, and affordable food for every Filipino.
CompanyMalaysian Aviation Commission (MAVCOM)
CountryMalaysia
Year2019
As a government agency, the Malaysian Aviation Commission (MAVCOM) must respond to the growing needs of the public. Committed to its cause of serving the Malaysian people, it is the first ASEAN regulator to introduce a complaints management system. Before the introduction of the CMS, complaints were registered and tracked in a manual spreadsheet. Available on MAVCOM’s website and integrated in a mobile application, the Centralized Maintenance System (CMS) serves as a convenient channel for consumers to register their complaints on services rendered by airlines or airports in Malaysia. With the goal of improving operating efficiencies and complaint resolution time, the CMS organizes data and allows MAVCOM to systematically analyze noncompliance matters. With millions of passengers going in and out of airlines and airports, the system acts a strategic tool that records and tracks trends and performance. In 2018, out of more than 1,600 complaints received, 94% of these were resolved within 30 days. All in all, the CMS has reengineered the complaints treatment process by cohesively engaging with the relevant parties to adhere to regulatory standards and deliver a seamless customer experience.
CompanyShinhan Bank
CountryKorea
Year2019
Acknowledging the role of data-driven curation as a key driver for customer retention and continued business growth, Shihan Bank set to revamp its infrastructure to gain a better understanding of internal and external data points. Led by Shihan Bank’s big data center, it created a visualization analysis tool that allowed employees, from project owners to decision makers, to access meaningful, value-adding insights from data to generate new ideas to address issues on customer service, product and service development, sales, and risk management. For data storage and analysis, the bank employed a metadata referencing system and subject-based data market, respectively. Aside from its dashboard and custom reports, the platform became an integral part of transforming Shihan Bank’s work culture from a traditional system to a real-time and data-directed collaborative environment. As a result, report generation time was cut by 83%, multidimensional reports were produced, and the average time spent on creating analysis reports was shortened from one month to one week. By going beyond intuitive understanding, the system gave an in-depth profile of target customers and suggested alternatives to be developed as action plans. As of May 2019, 14 business groups composed of 121 employees are actively using this platform, with the number projected to increase in the months to come.
CompanyKYOBO Life Insurance Co., Ltd
CountryKorea
Year2019
Considering the inefficiencies brought about by the underwriting process, Kyobo Life Insurance launched a real-time AI underwriting system aimed to improve underwriters’ working system and augment client satisfaction. The Best Analysis and Rapid Outcome (BARO) AI is the world’s first AI underwriting system product and transforms human work and covers all insurance products. Kyobo Life Insurance systemized its underwriters’ thinking process and designed models that reflected the factors that underwriters would consider in assessing applications. Inquiries are comprehended via natural language processing, which includes named entity recognition, taxonomy, user dictionaries, keywords, and various preprocessing techniques. By producing instant results, which were then evaluated by underwriters, sales consultants can accelerate and increase their sales. BARO supports its insurance product decision making through the inclusion of five key references, which sales teams can check easily so they can focus on customer service. Receiving over 400,000 inquiries in just two years, BARO has been responsible for resolving 52% of these, significantly reducing the workload of underwriters. With BARO, reviews of applications that normally took four to eight weeks were significantly shortened, with 56% of applications being approved right away based on BARO's guidelines.
CompanyFinAccel
CountryIndonesia
Year2019
FinAccel's focus is to increase financial inclusion across the ASEAN region by providing access to credit in an affordable and convenient manner. Through a proprietary, industry-leading risk management system that leverages data and technology, FinAccel can automate key operational tasks and manage risk over the customer life cycle, achieving bank-level risk metrics and highly efficient operations. The proprietary verification and credit-scoring technology impacts the customer onboarding experience, which FinAccel considers as one of the most important journeys in a customer’s interaction with its product Kredivo, as well as a key determinant of the sustainability of the organization's business model. Through its payment method, Kredivo, FinAccel is then able to offer an instant and unique two-click checkout system that simplifies the process for consumers and reduces cart abandonment rate, becoming a real-time transaction enabler for Kredivo’s ecommerce partners. Through deep integration with its ecommerce partners and fraud detection technology, Kredivo can offer customers the ease of making online purchases without having to log in to their Kredivo account and input a one-time password.
CompanyCairn Oil & Gas
CountryIndia
Year2019
Cairn Oil & Gas is the largest oil and gas exploration and production company in India, accounting for more than a quarter of the country’s domestic crude oil production. With the objective of transforming data as a source of key competitive advantage, it rolled out the Exception-Based Surveillance (EBS). Utilizing existing sensor data, the EBS raises analytics-driven exceptions on systems that need urgent and proactive attention and converts these insights into actionable items. Designed with a built-in intelligent event processing engine to constantly watch over plant and field operations to rapidly access and analyze situations, it triggers alarms and alerts when an incident occurs. Beyond providing information in real time, the system also stores key data points for future reference, assists in the identification of root causes of exceptions, and provides suggestions for remediations. With respect to enhancing employee efficiency, it has helped asset teams to focus on areas that need attention rather than routine. Overall, the EBS has reduced downtime in all aspects, increased equipment life, improved safety standards, reduced operational costs, and improved focus on the remediation of the exceptions.
CompanyChina CITIC Bank International
CountryHong Kong
Year2019
China CITIC Bank International (CNCBI) launched its flagship mobile banking platform, inMotion, in March 2018. Riding on the power of AI, inMotion allows customers to open an account remotely in as little as 15 minutes anytime, anywhere without the need for a branch visit, address proof, or signature, breaking new ground in banking in Hong Kong. In February 2019, CNCBI in Hong Kong launched the city’s first truly virtual credit card, the “Motion Virtual Credit Card,” in addition to full-function securities trading service “inVest” and life insurance purchase services. This expanding service portfolio provides customers a comprehensive virtual banking experience. With a view to becoming an innovative trendsetting brand in the industry, CNCBI continues to explore new, innovative services that bring banking to customers’ fingertips.
CompanyChina Merchants Bank
CountryChina
Year2019
In order to actively respond to the external challenges of internet finance, China Merchants Bank (CMB), the first share-holding commercial bank wholly owned by corporate legal entities in China, accelerated its financial technology transformation. In August 2018, CMB's mobile banking and Handheld Life apps saw more than 60 million monthly active users, requiring the bank to provide higher storage capacities and faster data processing. China Merchants Bank with its ICT partner launched a joint innovation laboratory to develop a distributed relational database suitable for the financial industry. Through this laboratory, China Merchants Bank has successfully developed one of the most innovative, cutting-edge, high-availability, and high-performance distributed databases in the industry, enabling 85 million daily average requests, with its peak transactions per second (TPS) reaching 3,500, allowing the bank to realize its intelligence transformation.
CompanySportsbet
CountryAustralia
Year2019
Sportsbet is an Australian internet betting and entertainment website that has been established for over 15 years. Within the Tech2020 pillar "Our Platforms, Our Advantage," it set out to create platforms of the future, developing an innovative approach to personalization aimed at improving customer experience. Core to Sportsbet culture is its value of "Customer First & Last" and the organization strives to have teams building exciting experiences for customers. To bring this to life, the 10Zing project was created to improve the Sportsbet customer experience, which involved the establishment of cross-functional delivery teams across data engineering, data science, software engineering, and front-end experience. Marketing, product, and HR teams also formed a core part of the project team, as the organization tried to minimize handoffs and stay focused on iterative customer experience delivery. Creating the best personalization for customers required building a connected system of technology capability, where raw customer data is taken from source systems and processed, analyzed, and modelled to ultimately send relevant and timely decisions to the channels that directly serve the customer. Sportsbet now has the capability and scale to provide active customers a personalized experience, which delivers the right content, at the right time, the right way — which was very different from its previous "one-size-fits-all" model.
CompanyBank of Ayudhya
CountryThailand
Year2018
With the Insight Discovery through Customer Digital Footprints project, Krungsri has successfully applied its customers' existing internal data with their online social behavioral data to understand their preferences, personalities, interests, and even personal milestones. Using big data analytics and machine learning, Krungsri has developed a platform that extracts customer insights, which are then incorporated into Krungsri's everyday business decisions that enable tailored product offerings, personalized customer relationship management, and targeted marketing campaigns and communication strategies. Since June 2017, Krungsri has analyzed the digital footprints of customers and generated incremental net income through highly customized products and services.
CompanyTutorABC
CountryTaiwan
Year2018
TutorABC develops Dynamic Course Generation System (DCGS) by leveraging cloud, big data and analytics, and artificial intelligence as the new technologies to enhance learning effectiveness. The operational principle of DCGS is recommending the most suitable textbooks and teachers based on learner’s interest, careers, learning preference, and analyzing the learner’s learning status and after–learning assessments via artificial intelligence for continuous learning optimization. In other words, TutorABC can modify one’s way of teaching to suit the special requirements of each class or case through DCGS based on Cloud, BDA, and AI technologies.
CompanyO-BankCo., Ltd
CountryTaiwan
Year2018
Founded in 2017, O-Bank is Taiwan's first digitally focused retail bank that offers a full array of online services. O-Bank is focused on developing its digital channels as it has very limited footprint in physical branches across Taiwan to engage clients physically. Understanding the challenges ahead, O-Bank has invested heavily in a big data analytics (BDA) framework, which has been applied to customer service and experience, client engagement, and robotic financial advisory. With an infrastructure that was designed from scratch and without the burden of any legacy software or solutions, the framework is built on four key pillars — data, data science, processes, and talent.
CompanyZuellig Pharma
CountrySingapore
Year2018
The Zuellig Health Solutions Innovation Centre drives all development of Zuellig Pharma’s work in data, digital and disease management solutions. Set up in partnership with the EDB, the centre builds on the company’s century-long foundations in distribution, to explore new ways to improve access to healthcare. Serving a significant part of the healthcare ecosystem, the team has developed data insights platforms and AI-powered predictive analytics capabilities to provide transparency and optimization of supply chain activities. More recently, Zuellig Pharma has also embarked on blockchain projects to unlock the opportunities that connected information systems can bring to the industry.
CompanyUnited Overseas Bank (UOB)
CountrySingapore
Year2018
United Overseas Bank (UOB) uses technology to have a richer understanding of its customers’ preferences and to make their banking experience simple, safer and reliable. It also harnesses emerging technologies such as Artificial Intelligence (AI) to enhance its operational performance. The Bank also continually develops its AI and Machine Learning capabilities to meet the various needs of its businesses. UOB has worked with its Hadoop to develop a big data solution that would enable various functions in the Bank to have quick access to relevant and quality data for analyses. These functions, such as compliance and retail banking, are then able to draw on the insights generated to optimize their business processes and to design distinctive customer experiences.
CompanyPhilippine Health Insurance Corporation (PhilHealth)
CountryPhilippines
Year2018
PhilHealth is the sole administrator of national social health insurance for all Filipinos, which makes effective data management a vital to achieve the mandate of providing financial risk protection to the entire population. Led by Jovita Aragona, Senior Vice President and CIO, PhilHealth’s data management strategy commenced in 2016 with business intelligence and cloud technologies. As it broke down traditional barriers to efficiency, information accessibility-availability, and collaboration, data became a strategic asset for PhilHealth. With integrity of mission-critical data, system- and process- harmonization, and standard data report-analysis-mining techniques, PhilHealth has improved its programs and services for Filipinos through a comprehensive analysis of health insurance claims over time periods, diseases, social classes, national-LGU geographical areas, demographics, benefits programs, payment schemes, and other insurance-health dimensions. With advanced analytics, artificial intelligence, and machine learning, PhilHealth has also initiated a framework in detecting fraud and abuse in insurance claims. Finally, data on hand has also empowered PhilHealth to support the Department of Health in the creation of health programs, control of real-potential epidemics and emerging health conditions and trends, and synchronization of Universal Health Care initiatives.
CompanyAsian Hospital and Medical Center
CountryPhilippines
Year2018
The Asian Hospital and Medical Center (AHMC) is committed to data-driven healthcare and has leveraged advanced analytics provide better services to its patients while lowering the total cost of care. Through the integration of digital technologies and modern medicine, AHMC is better equipped to deliver quality healthcare to it is patients. The hospital began digitalization in 2016, with its integrated information system delivering real-time insights on daily operations. AHMC has also gained the ability to understand historical trends, with such as month-on-month patient surges and ER overflows, and at the same time, learn about changing risk factors and new infectious diseases. AHMC has been able to make strategic data-driven decisions to make further improvements on its infrastructure, facilities, and manpower utilization, which includes nurses and specialists. Having also digitized the hospital’s lab information, the AHMC Medical Informatics department is now working with the hospital's pharmacy module to provide further support to doctors in their clinical decisions. AHMC has also implemented a Patient Flow System, which allows doctors to understand the end-to-end patient journey, lowering the average Emergency Room to exit time to three hours, exceeding international standards.
CompanySuruhanjaya Syarikat Malaysia (SSM)
CountryMalaysia
Year2018
Suruhanjaya Syarikat Malaysia (SSM), the statutory body in charge of regulating corporate and business affairs in Malaysia, launched MYDATA in 2016 to provide users a single, direct electronic access point to the official company registration offices in Malaysia. SSM's role is to incorporate companies and register businesses and ensure all company and business information are available to the public, and as the leading authority for the improvement of corporate governance in Malaysia, the commission also handles monitoring and enforcement activities to ensure compliance with business registration and corporate legislation. MYDATA is the legitimate and legal source of information on companies and businesses incorporated and registered in the country, providing instant access to accurate business data through a data registry updated in real time. For a minimal fee, users can obtain insights on business financial standings such as paid-up capital, balance sheet, assets and liabilities, share capital, and total revenue. Since its launch in 2016, over 130,000 transactions have been recorded, earning SSM a revenue of RM 34 Million.
CompanyKia Motors Corp
CountryKorea
Year2018
Kia Motors has internally identified the need to utilize big data analytics (BDA) for its marketing campaigns to maximize the efficiency of its investments. An analytical model was developed to recommend the right type of vehicle for a customer based on the integration of internal and external information. Recognizing that the results of the model can be applied differently to its advertising and promotional efforts, Kia Motors decided to split the teams in their activities while sharing the same model. The analytical model uses an extraction algorithm that sorts out prospective customers based on data collected through partnerships with SK Telecom, Daum Kakao, and Google. Close collaboration was carried out between the Kia Motors team and its partners to ensure there is an alignment between the data and its interpretation. In addition, machine learning (ML)–based customer behavior predictive modeling was also implemented. As a result, both advertisements and promotions improved from previous campaigns by over 400% and 300%, respectively. Since then, Kia Motors has used data analytics in its business processes to drive all marketing campaigns.
CompanyKredivo
CountryIndonesia
Year2018
With the mission to promote financial inclusion in the country, FinAccel through Kredivo is leveraging deep data analytics and machine learning to automate the credit risk process. Kredivo offers instant credit financing to underbanked users through its smartphone application. Since its launch Kredivo has become an alternative for smartphone users to get instant access to credit by leveraging an operating model that highly values transparency, convenience, and fairness for its customers.
CompanyAir Vistara
CountryIndia
Year2018
Manthan 1.0 is a follow up project of the airline’s initial infrastructure foundation based on 100% Cloud (only airline in the world). This new operational intelligence layer connects flight operations, engineering, finance, IoT, Blockchain, Kafka, WDT (Threat Detection), and software defined networks (partial). This layer brings together information from diverse sources (aircrafts, components, revenue management, rostering, etc.) and agencies (airports, regulators, SITA, ARNIC, BRS, etc.) at different frequencies, different quality, different sizes and formats while minimizing operating cost, improving turnaround time and maintaining profitability. The solution leverages on use bigdata which provides a baseline data for example profitability, disruption management, system of records – cost, revenue, customer, aircrafts and engineering. It also uses an AI based array of systems which solves problems ranging from attrition, prediction, route profitability, customer sentiments, customer retention and employee culture.
CompanyLan KwaiFong Group
CountryHong Kong
Year2018
Lan Kwai Fong is an internationally well-known venue for nightlife activities in Hong Kong and during special occasions such as Halloween and Christmas with over 200,000 people on site. To perform more accurately and do useful analysis of such a dynamic crowd visiting LKF, LKF Labs collaborated with various stakeholders operating within LKF (e.g. outlets, valet parking, property owners) and responsible for LKF public infrastructure (e.g. local police, government authorities) on a series of initiatives to gather useful data, which can be analyzed to enable LKF to engage with their crowd both offline and online.
CompanyPing An Group
CountryChina
Year2018
The Ping An Group, one of the world's largest investment and asset management companies, has been leveraging massive amounts of internal information and external data sources within its business processes. Identifying the need to integrate data sources and automate internal processes, the Ping An Group developed OlaTop, which was presented as a knowledge graph to its users. OlaTop is built with machine learning (ML) and statistical algorithms, performing analytics on a multifaceted database. Named entity recognition is performed on data sources to update and build the knowledge graph. Changes within relationships over time are captured as well, representing the shifting dynamics of the entire graph. Enterprise intelligence and real-time quantitative risk assessment are now made available through OlaTop to core business functions, such as risk management, investment, marketing, and public services within the Ping An Group, enabling the teams to leverage insights made from a comprehensive and accurate set of data and information.
CompanySephora
CountryAustralia
Year2018
Sephora is one of the world’s largest beauty retailers, selling nearly 300 brands across a broad range of product categories including skincare, makeup, fragrance, body and hair care, in addition to Sephora's own private label. The company operates approximately 1,900 stores in 29 countries worldwide, with an expanding base of over 200 stores across the Asia Pacific region. Sephora wanted to create a data-driven culture for informed decision-making to improve business outcomes across the board and maximize use of the organization's wealth of data. Fundamental to this is the need for a single source of truth to make sense of the large amounts of data. A data fabric was overlaid on existing legacy systems, with cloud services and other software extracting data and providing a more comprehensive view of the business. Key benefits include manual report extraction that was previously done monthly became available in a daily refresh, with sales data available every few hours, and streamlining the integration of Sephora’s e-commerce business with in-store, providing visibility across the business using a common language and single source of truth.
CompanyTMB Bank Public Company Limited
CountryThailand
Year2017
As one leading bank who's been operating in Thailand for over 50 years, TMB is the first bank to implement GIS technology for the property valuation. In the GIS-based loan valuation process, a vast amount of information imposed on a high-resolution map has been taken into account to evaluate the fact-based risks, and eventually approve to release the loan. As a result, the overall operations have been significantly simplified, making it even faster and more effective, increasing the customer satisfaction and business profitability.
CompanyTaishin Bank
CountryTaiwan
Year2017
The development of digital technology has spurred new trends in data analysis in the current financial environment. Leveraging new ideas and technologies, Taishin Bank’s CRM department developed and established a Comprehensive Customer Portrait Database (CCPD), allowing customer characteristics, customer behavior, and the relationships between the two to be viewed at the single customer, customer segment, and branch levels. The CCPD allows marketers and managers to formulate strategies more rapidly, making it an effective data analysis solution.
CompanyCathay United Bank
CountryTaiwan
Year2017
As part of its digital transformation, Cathay United Bank built a big data ecosystem that combined traditional data warehousing and the new Hadoop platform to help redefine financial services through data analysis. Business analytics engineering meant developing data-driven engineering on a diverse, solid big data platform. Such operations include constructing consumer intention databases, analyzing digital consumer behavior by machine learning algorithms, building a product recommender to achieve integrated services and marketing practices across all channels, and creating customer value and satisfying experience. By actively exploring hidden information in data and integrating those insights with digital channels, Cathay United Bank has developed a methodology to ensure effective implementation.
CompanyUrban Redevelopment Authority
CountrySingapore
Year2017
URA has developed a three-year Digitalization Plan to digitalize planning processes, using advanced digital technologies and big data analytics. The plan facilitates integrated planning at the Whole-of-Government level, giving URA better planning insights and driving productivity gains. The Digitalization Plan uses six strategies including Data Digitization; Data Integration; Systems Integration; Work Process Redesign; Visualization and Analytics; and Modelling and Simulation. This includes building digital planning tools, collaboration platforms and analytics skill that transform planning processes. It involves and empowers staff at all levels to contribute ideas and find solutions. It also allows URA to engage their stakeholders including agencies and customers to share data, and integrate business processes and systems. The three-year plan actively feeds into URA’s organizational development and HR initiatives, ranging from comprehensive planning tools and analytics skills training, and capability building. This equips staff with skills for the new digital economy and allows the organization to be future-ready.
CompanyPOSCO
CountryKorea
Year2017
POSCO, the world’s fourth-largest steelmaker, has been applying ICT to the best steel manufacturing technology. Using extensive experience and know-how, POSCO is now investing in the creation of a Smart Factory, in line with the Fourth Industrial Revolution. The smart solution platform, PosFrame, can optimize self-learning and control by collecting and analyzing data within processes in real time. POSCO has managed to achieve data standardization, better data capturing environment, and data consistency along with predictive analysis.
CompanyInfo Edge India Ltd.
CountryIndia
Year2017
The Career Site Manager (CSM) is a simple, easy-to-use recruitment management system. It eliminates manual effort involved in recruitment with automation, brings transparency to the hiring process, and enables seamless collaboration. CSM allows users to source CVs from multiple sources like emails, job postings across portals, resume databases, and career sites to create a centralized database. Its advanced search algorithm can be used on this database to shortlist the most relevant candidates faster. Info Edge’s Career Site Manager enables recruiters to leverage data and information from diverse sources, creating a centralized database of resumes and profiles for potential candidates. With this automated tool’s cutting-edge algorithms, recruiters can quickly shortlist candidates for open positions in a manner that is contextual, relevant, and timely which will enhance productivity, efficiency, and transparency.
CompanyJardine Restaurant Group
CountryHong Kong
Year2017
Pizza Hut Social CRM is an advance initiative that is designed to prepare the organization for a dynamic form of engagement with customers, aimed towards promoting customer loyalty, driving sales and ultimately own a bigger slice of the market share. Launched in June 2015, the social CRM platform with its new mobile app changed the customer behavior from using a plastic card to using their smartphones as touch point. The new mobile app has three innovative features: mobile queue ticketing (features an express ticket for dine-in), points sharing between friends and families, and an interactive surprise promotion e-couponing. In its first 6 weeks, the mobile app had over 150,000 downloads and the total company sales grew from 27% in 2014 to over 45% in Aug 2017.
CompanySANY Group
CountryChina
Year2017
With the aim of maximizing customer business value, the ROOTCLOUD Industrial Internet Platform enables traditional industries to undertake digital reformation and business model innovation. The platform provides machines in various industries with cloud-based IoT and big data services. It also provides manufacturers, financial institutions, proprietors, individual users, service providers, and supervisors with application services. It works with software and hardware providers, as well as communication operators to build an open ecosystem. The ROOTCLOUD Industrial Internet Platform has three core competencies: getting through the acquisition layer and cloud platform, developer framework for industrial applications, and industrial big data and offline resources. ROOTCLOUD is committed to become an industrial Internet enablement platform, which maximizes customer business value. It aims to contribute to the upgrading of China’s manufacturing industry and help realize the China Manufacturing 2025 plan.
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