How a Malaysian bank, together with Juris Technologies, proposed and delivered a solution powered by Artificial Intelligence capabilities to predict potential Non-Performing accounts as early as 6 months prior to delinquency, resulting in a significant drop in NPLs, increased profitability and a healthy working capital.
In the ad campaigns that were optimized by Optimate’s AI engine, the bank’s overall ad effectiveness improved tremendously; the AI engine perpetually worked in the background to fine-tune and deliver the ads to the right audience, all in real-time. And the good ROI will only get better as more valuable data is generated and analyzed by the AI engine.
Check out the Tax Big Data Analytics Maturity Model that describes high-impact tax business cases that will bring in serious returns for the government - like GST fraud identification, anti-money laundering and real-time fraud detection. They require the deployment of advanced analytics such as text mining, path analysis, connections, affinity and visualization.
Malaysia Airports (MAHB) gets a holistic view of its retailers by exploiting IoT devices and gathering useful data on a centralized system. With easy-to-use business intelligence dashboards, MAHB management is also able to quickly digest information and make quick and accurate data-driven decisions.
A leading Malaysian telco with more than 3000 personnel employed big data analytics to find out why there was a sharp increase in human resources cost in recent years despite it maintaining a tight control over headcount and salary increments. Turned out that structural change was the culprit. Read on...
Hong Leong bank becomes the first bank in Malaysia to utilize IBM Watson to enable customer self-service. The cognitive technology platform will also assist the bank’s call center consultants. It will scrutinize and analyze customer profiles, reports and product info to recognize a customer’s needs and offer various financial options available to them.
The bank is one of the largest financial institutions in Malaysia with retail branches in numerous Southeast Asia countries. Personalized marketing campaigns - derived from data analytics - saw the bank increase its credit card spend and utilization, resulting in a substantial increase in interchange and interest income.
Dynamic pricing with big data analytics allows for a more refined set of indicators for price elasticity in comparison with traditional influencers such as time and availability. Read about dynamic pricing and 14 other big data use cases in retail such as fuzzy matching, dynamic forecasting, recommendations and market basket analysis.
In a market saturated with international players all offering variations of the same travel booking products, this Malaysian online travel trailblazer harnessed big data analytics (BDA) to stand out above the rest, aggregating millions of search results through their service.
ServisHero is an on-demand local services marketplace, headquartered in Kuala Lumpur, which saves consumers time and money when looking for reliable local service providers. They have a clear mission to uplift the income levels of millions of small businesses across South-East Asia, and are a data-focused company using information to both shape their own business and grow into new areas.