SG:D Accredited Companies’ Use Case

Learn about the innovative use cases deployed by some of our SG:D Accredited companies.

Affle | Barghest Building Performance | Confluent | Cyber Intelligence House | Digital Shadows | Druva | igloohome | KryonNovade | ThoughtSpot | Transwarp | ViSenze

Affle

Use Case 1

ISEAS - Yusof Ishak Institute is a leading research centre dedicated to the study of socio-political, security, economic trends and developments in Southeast Asia and its wider geostrategic and economic environment.
                              
ISEAS partnered with Affle to develop a Mobile App where users have one-stop access to ISEAS’ research articles and events.  Our users are able to keep abreast of timely and latest developments in the region, by reading our publications, as well as registering for and attending our seminars.

Use Case 2

Established in 2002, EZ-Link is a pioneer in contactless payments in Singapore with the EZ-Link card being a core product offering. EZ-Link remains the top choice for contactless prepaid card payment in Singapore with more than 40 million cards issued to date. Going beyond transit payments, EZ-Link partnered Affle to build a mobile application and web platform for one of its prepaid products, FEVO, for users to manage account-related activities.

FEVO Prepaid Mastercard® is globally accepted at all Mastercard merchants. With FEVO, cardholders are not required to link it to a line of credit or bank account. It is a secure and safe contactless payment option.

With security and convenience as top priorities, the platform supports the following features:

  • Seamless login and activation – biometric/facial identification logins
  • Top-ups on the go
  • Manage transactions and track card balance
  • Get updated on Mastercard privileges and promotions

Barghest Building Performance

Use Case 1: Hewlett-Packard and Barghest Building Performance

HP Inc. targets to achieve 25% reduction in carbon emissions by 2025 based on 2015 baseline. In 2016, HP Inc. launched a program to establish best practices and national guidelines for facility energy management. The objective of the program is to enhance energy-related operations, technology, and processes. To achieve the intended impact, HP Inc. worked with BBP to create customised solutions for its chilled water systems which had been in operation for more than 20
years. Using advanced data analytics, BBP’s control algorithm optimised equipment set points (e.g. temperature and flow) to improve the efficiency of the existing chilled water systems. The remote monitoring and analytics capability created a platform for data driven discussions on how to further improve system efficiency. The automated reports generated also helped changed HP Inc.’s maintenance perspective from “equipment availability-based maintenance” to “performance-based maintenance”.

HP Inc. achieved annual energy savings of over 2 GWh. The low temperature chilled water system efficiency improved from 0.89 KW/RT to 0.64 KW/RT while the high temperature chilled water system efficiency improved from 0.789 KW/RT to 0.72 KW/RT.

Use Case 2: DCP (Sentosa) Pte Ltd and Barghest Building Performance

In line with RWS’s commitment to sustainability, DCP is constantly evaluating new opportunities to reduce its energy consumption and environmental impact. Prior to this project, DCP had already undergone equipment upgrading as well as one round of performance improvement.

This project started with BBP offering to explore and evaluate potential energy efficiency opportunities at DCP. BBP was selected due to: (i) high guaranteed energy savings, (ii) the operational improvements brought by the BBP control system, and (iii) the good track record of successful energy efficiency improvements. DCP and BBP worked closely to customize and install the chiller optimizer solution, keeping in mind the critical operation of a district cooling plant. The system optimized the energy use of chillers, pumps and cooling tower fans using an algorithm-based dynamic control to achieve and maintain better plant efficiency across varying load profiles without affecting the comfort of occupants. The system also allowed for continuous improvement through remote monitoring, daily performance reports and data analytics that lead to immediate corrective actions whenever necessary.

The successful implementation of project resulted in a 10% improvement in plant efficiency, or 5.5GWh of annual energy savings without disruption to the operations of the plant.

Confluent

Use Case 1

European Railway Company delivers Reliable Travel Information to Millions with Confluent Platform

On a daily basis, in addition to serving more than 5.7 million customers, an European railway company manages approximately 24,000 trains. This results in about 180 million events that their new passenger information system has to process within 24 hours.

One of the key advantages of building the passenger information system atop Confluent Platform is the speed at which new capabilities can be delivered. Depending on the business case, the required events are persisted in Confluent Platform with the necessary retention times. When a new microservice is created, it is instantly operative, reading all the data persisted in Confluent Platform and immediately processing new information.

The new event streaming architecture has made it easier to take advantage of additional information sources. For example, the company developed a microservice that uses sensor data from the station platforms to detect the arrival of a train. It then triggers the announcement over the station’s loudspeakers.

As part of a pilot phase at 80 stations across the country, Confluent Platform has been remarkably reliable, achieving 99.9% availability from the moment it went live. The new passenger information system had less than seven hours of outage in the first year, and that was for only part of the system, not the whole application.

For more customer stories, visit us at https://www.confluent.io/customers.

Use Case 2

Streaming Data Empowers Canadian Bank to be a Data-Driven Organization

One of Canada’s biggest banks, and one of the largest in the world based on market capitalization, has a diversified business model with a focus on innovation and providing exceptional experiences to their 16 million clients in Canada, the U.S. and 35 other countries. 

Like many banks with a long history and a large client base, the accumulated assets of the bank are very complex. The bank’s data landscape exists across lines of business and within a centrally managed infrastructure. Due to regulation, security and the need for auditing, data within these various groups must be handled thoughtfully, with insight on how to maximize its value and quality without introducing risk to clients or the organization.

Part of the central technology stack is a mainframe-based infrastructure that supports many applications. This infrastructure is the system of record for a number of client profiles and before Confluent, accessing the data could be delayed, complex and costly for the bank.

The bank selected Confluent Platform based on Apache Kafka, and wrote a microservice to significantly reduce the reads on the mainframe, reducing fixed infrastructure costs and OPEX. The bank stayed compliant with regulations and business logic, and is now able to create new applications using the same event-based architecture.

For more customer stories, visit us at https://www.confluent.io/customers.

Cyber Intelligence House

Use Case 1

A major airline recorded revenues amounting to nearly $2.3 billion and carried about 20 million passengers a year. The challenge for the airline was that they did not have full understanding of the digital risks of their exposed information and online assets. CIH has helped them manage multiple digital risks during our relationship:

781 of their past and present employees were compromised on several 3rd party  platforms, including management and the Board of Directors. Hackers had also breached user accounts on the airline and were selling their reward points in the Darkweb. Airline's online booking systems were also breached which led to compromise of customer records. Airline was also hit by a serious ransomware attack.
CIH helped the airline to take control of these risks.

We detected and helped mitigate risks from breached and leaked information. User accounts were reset, and users were notified. We monitor if any of the Airline's data is being transacted online by cyber criminals. We also monitor exposed systems at the entire network edge that they put to the Internet. As a result, the Airline experienced significant reduction in operating costs caused by cyber security incidents.

Digital Shadows

Use Case 1: How a technology company discovered credentials for their CRM platform

A European technology company had their own, small engineering team, but often worked with contractors to build their various different applications for their customers. The security team lacked visibility into where that code was being shared online, and so turned to Digital Shadows. 
 
With SearchLight's Unauthorized Commit alerting, the security team was immediately notified to one commit, which turned out to be an employee who had posted a script with clear-text credentials to their Salesforce instances on GitHub. This was intend to be private, but the settings had been changed. 
 
The security were able to quickly have the post removed, and further refined their company policies
 
Read more here.

Use Case 2: Contractor Exposed Manufacturer’s Sensitive Data 

With Digital Shadows SearchLight™, a manufacturing firm discovered that a third party contractor exposed sensitive Non Disclosure Agreements signed by its customers via NAS (network addressed storage). Threat actors may use an organizations supply chain to gain access to valuable systems and data such as intellectual property and patents. The manufacturer is a long standing Digital Shadows client who engaged with us to proactively manage their digital assets and third party risks. 
 
Read more here

Druva

Use Case 1: Cosmetics powerhouse AmorePacific finds beauty in Druva over Veeam

Empowered by Druva, cosmetics giant AmorePacific left behind its legacy data protection and embraced a cloud-first strategy, ultimately saving time and overall costs. Druva’s reduced expenses and complexities cut the total cost of ownership (TCO) of the firm’s backup and DR services by up to 30 percent. The enterprise also did away with all capex costs for backups and DR by eliminating the second facility and its duplicate storage systems. Moreover, AmorePacific accelerated full back up by 60 percent over its prior Veeam solution and sped up and simplified restores.

“I save an average of over 30-man hours every month now that we’ve moved away from Veeam’s complex workflow and consolidated our data centers,” said Wai Chung, IT backup administrator at AmorePacific's Hong Kong headquarters. “Thanks to Druva’s source-side deduplication, we also reduced the volume of data to be backed up by over 50 percent. Compared to our Veeam solution, this very much lessens both the storage capacity and bandwidth needed to safeguard our data.”
 
Based on our results, Druva’s backup technology is truly revolutionary. With its speed, scalability, and TCO savings, we now make decisions based on our business objectives rather than the restrictions of our legacy backup solution.”

Read more here

Use Case 2: How Druva safeguarded over 80 TB of critical research data in the cloud

The Queensland Brain Institute is an Australian neuroscience research institute located in Brisbane at the St Lucia campus of The University of Queensland. The Queensland Brain Institute’s researchers work to understand the development, organisation and function of the brain. Collaboration with clinicians and commercial partners to develop new therapeutic approaches for brain diseases generates terabytes of data.
 
With most researchers having several hundred gigabytes of critical data on their machines and the need to facilitate global collaboration, an increasing issue the institute needed to solve was data availability and backup reliability at the endpoint. The team discovered Druva and quickly saw the benefits of cloud-based data protection for endpoints. 
 
“Having a fully automated data protection solution was a night-and-day improvement. Implementation of Druva inSync was straightforward, and we quickly saw trust established between the researchers and Druva. The platform gave them confidence that if anything happens to their device or data, it can be quickly restored,” said Perry Kollmorgen, IT manager.

Read more here.

igloohome

Use Case 1: My Workspace

Located in Gangnam, Seoul, My Workspace is a co-working space for start-ups, entrepreneurs, and the like. Rental costs can be high in the city and My Workspace aims to help alleviate these overheads for small businesses that need an office. From single seats to multiple meeting rooms, My Workspace prides itself on its spacious yet cozy design.

We partnered up with and cards to deliver a cutting-edge solution to automate the room booking process for the co-working space. Access can be customized to the granular level, ensuring that the rooms are always secure. Our solution frees up the managers’ time when it comes to issuing access to multiple users.

Use Case 2: Sansiri

Sansiri is regarded as one of Thailand’s top property developers. With over 300 residential projects and counting under their belt, they offer a full range of housing units across 20 provinces in the country. 

We’ve partnered up with Sansiri to have our locks installed in multiple projects. These properties were value-added with the integration of the lock with the proprietary condo living app - which improved the property's attractiveness to prospective buyers and enhanced security and convenience for residents. 

Kryon Systems

Use Case 1: Wyndham Hotels & Resorts

Wyndham is the world’s largest hotel company, with 9,400 hotels in 80 countries. In May of 2018, Wyndham acquired the La Quinta brand. This move presented some major challenges - they needed to rapidly onboard 900 hotels, including training those hotels’ employees on company-wide procedures and computer systems. After years of working with Kryon's RPA solution, Wyndham’s management team was aware that RPA could help them efficiently onboard their new employees. But first they would need to identify the right processes to automate. And management knew that the conventional, manual approach would be time-consuming, expensive, and vulnerable to employee bias. Instead, they turned to Kryon Process Discovery™ to quickly identify their most promising opportunities for RPA. As a result, Wyndham successfully completed the onboarding process for all La Quinta hotels ahead of schedule. In addition to accelerating that process, Kryon Process Discovery™ enabled Wyndham to save nearly 700 work hours and eliminated the need to hire 500 temporary employees.
In total, Process Discovery identified 79 processes, and Wyndham determined that 26 of them are suitable for RPA. As a result, Wyndham’s citizen developers were able to scale up the use of automation and maximize the overall RPA ROI.

Click here to watch.

Use Case 2: LTCG

LTCG is a leading US provider of business process outsourcing for the insurance industry, with more than 1.4 million long-term care policies and serving over 50 national carriers. 
Having already successfully deployed Kryon RPA solutions, LTCG was keen to extend the scope of automation to cover additional departments. The company’s primary goal was to radically simplify the cumbersome tasks of insurance billing and claims processing.
LTCG rapidly deployed Kryon Process Discovery™ on around 345 virtual machines across the company over a time span of less than two weeks. As a result, 83 unique processes were discovered, of which seven were automated within one month by LTCG’s citizen developers with no technical background. This was possible thanks to a unique capability of Kryon Process Discovery™ to provide fully functional workflows that can be quickly imported into Kryon’s RPA development studio, where they only need to be fine-tuned before they are ready to be deployed (as opposed to having to develop those workflows from scratch).

Thanks to Kryon's solution, LTCG has realized an improvement of up to 70% proficiency in claims processing, with human error practically eliminated, leaving agents able to focus on providing quality customer service instead.

Click here to watch.

Novade

Use Case 1: Hwa Seng Builder 

Hwa Seng Builder (HSB) had a vision to improve workflow productivity and site safety with technology. When they undertook a project to construct bridges across Sungei Serangoon, HSB engaged Novade’s Safety-HSE module to connect all users on a single site management platform to maximise efficiency and ensure high safety standards. After going digital, the time used to approve and verify Permit to Work was shortened to 30mins instead of two hours, and at the same time, eliminated the need for paper. Project managers could also monitor day-to-day work activities together with the checklists and near-miss reports; non-conformances could be captured with a photo on a mobile device and sent to the person-in-charge for immediate rectification. Real-time data such as internal hazard activity was automatically synced on a user-friendly dashboard for analysis. From the breakdown, proactive actions were taken to prevent accidents from occurring. Projects executive director Alan Nah commented, “We believe that embracing this technology will help to improve the workflow in terms of productivity, and more importantly, make the site a safer place for everyone.”

Click here to watch.

Use Case 2: CEL Development 

CEL Development, a property developer and subsidiary of Chip Eng Seng, developed High Park Residences, its biggest project to date. The 1,300-unit project required tight coordination with all the stakeholders, resulting in challenges around quality control. Eventually, they chose to implement the Novade Quality module, and made use of Novade in three stages: Firstly, at the construction stage, the main contractor and subcontractors had to coordinate seamlessly with Novade’s mobile application which synced the status of their site checks in real time. Secondly, at the handover stage to the customer service officers, main contractors could easily and systematically rectify defects which reduced the time and cost of rework. Lastly, CEL Development extended the usage of Novade to their clients, the homeowners, where they could lodge in defects of their apartments at their own convenience. As Novade is a single site management platform, the customer service officers were immediately notified, and they could assign the relevant contractors via the same application to work on the defect. General manager Ivan Lim commented, “We see Novade, an application developer that caters to our industry, an opportunity for us to improve productivity and efficiency, and most importantly, customer satisfaction.”

Click here to watch.

ThoughtSpot

Use Case 1

Business users across Robin Hood’s finance, operations, and marketing use ThoughtSpot to get answers to data questions fast that enable them to do their day-to-day jobs effectively while meeting the company-wide mission to deliver high value, low cost energy to vulnerable customers. One key area where ThoughtSpot is having an impact is in Robin Hood’s Debt team, where now members can easily get answers to a typical series of data questions without having to involve the business intelligence team. Before ThoughtSpot, the business intelligence team would have needed days or weeks to deliver on a request. Not only was this too slow for Robin Hood’s team to deal with customers efficiently and sensitively, the information was often out of date by the time it arrived. 
 
ThoughtSpot is also enabling the Vulnerability Department, whose members have never before had access to customer data. Users are now able to spot vulnerable customers more easily and support them. With ThoughtSpot's search and AI-driven analytics, these teams are now enabled to collaborate and better serve their customers using a shared view of data. 

Read more here

Transwarp

Use Case 1: China Unicom

With the increasingly daily demands of the Intelligent and Real-time big data, China Unicom Group has to construct unified user context information base and basic support database for scenario marketing, real-time recommendation, intelligent early warning and prevention and control applications to meet the needs of relevant business departments. 

With the help of Transwarp Big Data Platform and related technologies, Unicom Group has constructed a user context information database to obtain user context information from various real-time/quasi-real-time data sources in real time. It integrates and stores the dynamic context data and static data of mobile users in the whole network, and achieves the general and configurable goal of scene real-time message processing based on context data. 

Through encapsulating the external service interface of user context information base, It provides API subscription and query capabilities for external applications using context information libraries, as well as subscription capabilities for batch data sets. 

Through the construction and implementation of this project, the goal of open data use and real-time scenario notification message accessibility of context information database is achieved. 

Use Case 2: Spring Airlines

Improving flight safety is the primary task of FOQA (Flight Operation Quality Assurance) analysis. The FOQA analysis platform uses traditional QAR data sources, adopts a new technology architecture featuring big data clusters, and combines flexible reporting tools to significantly promote flight safety analysis and management. 

FOQA platform of Spring Airlines, with the help of TDH high-performance batch processing and analysis engine inceptor, as well as the workflow design scheduling workflow and other tools, to complete data cleaning, business processing and other work. After that, the data processing performance is faster, data control is strengthened, and FOQA platform provides comprehensive data supports for data mining and data analysis. 

Spring Airlines monitors the indexes of cost with TDH. 4 months after this system went online, the use rate of cost indexes rose from 58% to 69%. Subsequently, optimization models for both direct flight and height planning were established to optimize the flight path. The fuel-saving project of Spring Airlines has been proven successful. It is estimated that 24 million RMB of fuel cost can be saved for 80 aircrafts per year.

 

Visenze

Use Case 1: Global sportswear brand counters Covid-19

Problem: Global sportswear brand wanted to engage consumers in stores to drive revenue. During peak hours, consumers had to wait for store associates to help check stock availability of shoes in preferred size and color, which resulted in poor service.
Spread of Covid-19 exacerbated the situation, forcing brands to close stores globally and resulting in revenue loss. As stores reopen post covid, consumers will feel uneasy approaching store associates and vice-versa. Brand wanted to counter the drop in revenue and elevate their consumers’ shopping experience with innovative technology.

Solution: ViSenze’s Visual Search enabled the brand to provide consumers a self-serve shopping experience without having to interact with store associates. This freed up the store associates’ bandwidth to focus on implementing safety measures and other services. The brand's consumer app has an in-store mode, which when activated, lets consumers scan the shoes on display using a smartphone camera to search for size and stock availability. Consumers can request to try the shoe or proceed to checkout. In case the shoe is not available in store, they can order it online directly.

Impact: Our solution resulted in faster checkouts, higher consumer satisfaction, and higher store associates’ productivity,  while ensuring a safe shopping experience. In the post-covid world our visual AI solutions can help retailers build trust among consumers to shop carefree.

Use Case 2: Asia’s leading online fashion retailer

Problem: Asia’s leading online fashion retailer, which offers thousands of fashion brands on their website and app, wanted to elevate the shopper experience by improving the product discovery and search experience. It was overwhelming for shoppers to browse through thousands of brands to find the exact product they were looking for. This impacted their product discovery and led to drop offs across the discovery and buying funnel.

Solution: ViSenze’s Visual AI solutions enabled the retailer to improve the search and discovery experience of the consumers and improve conversion rates on their site and app.
ViSenze’s Visual Search lets consumers upload a fashion image to find the exact match, or other visually similar products, without having to describe the product. This improves the accuracy of search results and reduces extra manual effort for consumers. ViSenze’s Smart Recommendations give consumers visually similar options on the product details page to choose from. They also get other category recommendations which go well with the product to help them complete the look. This simplifies decision-making for consumers and improves conversion rates.

Impact: Our solutions elevated the shopper experience and helped the retailer achieve higher conversions, higher average order value, and better user experience.

Note that the listed use cases are updated regularly.

Last updated on: 13 Nov 2020