Kuala Lumpur, 50100,
Malaysia
Bank Muamalat Technographics
Bank Muamalat Technographics, Software Purchases, AI and Digital Transformation Initiatives
Discover the latest software purchases and digital transformation initiatives being undertaken by Bank Muamalat and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 2357 Bank Muamalat employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Bank Muamalat has purchased the following applications: Mambu Cloud Banking Platform for Core Banking in 2024, Google Cloud Vertex AI for Generative AI Platforms in 2024, Google Looker for Analytics and BI in 2024 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Bank Muamalat is running and its propensity to invest more and deepen its relationship with Mambu , Backbase Solutions , Google or identify new suppliers as part of their overall Digital and IT transformation projects to stay competitive, fend off threats from disruptive forces, or comply with internal mandates to improve overall enterprise efficiency.
We have been analyzing Bank Muamalat revenues, which have grown to $400.0 million in 2024, plus its IT budget and roadmap, cloud software purchases, aggregating massive amounts of data points that form the basis of our forecast assumptions for Bank Muamalat intention to invest in emerging technologies such as AI, Machine Learning, IoT, Blockchain, Autonomous Database or in cloud-based ERP, HCM, CRM, EPM, Procurement or Treasury applications.
Bank Muamalat Tech Stack and Enterprise Applications
ERP Services and Operations
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Mambu | Legacy | Mambu Cloud Banking Platform | Core Banking | ERP Services and Operations | n/a | 2024 | 2024 |
In 2024, Bank Muamalat implemented the Mambu Cloud Banking Platform as the bank's Core Banking foundation as part of a multi year collaboration with Google Cloud and integrated front end technology. The deployment positions Mambu Cloud Banking Platform as the digital core for Islamic financing and deposit products while pairing it with Backbase for customer engagement to deliver digital Islamic banking services across Malaysia.
The implementation configures Mambu Cloud Banking Platform to support account and deposit management, Islamic financing lifecycles for personal financing, education financing, and home financing, and API first product provisioning. Automation capabilities are emphasized through enhanced document data capture within the Muamalat Application Platform, allowing underwriting and application workflows to complete up to six times faster, and enabling faster software development cycles for product launches.
Architecturally the solution is deployed on Google Cloud infrastructure, leveraging Firestore as a serverless data store and BigQuery and Looker for unified analytics and 360 degree customer profiling. The Mambu Cloud Banking Platform is integrated with Backbase engagement banking and Google Cloud data and AI services, including Vertex AI Search and Conversation for natural language access to institutional data, and Google Marketing Platform for targeted customer analytics. Security controls include customer managed encryption keys and planned deployment of Chronicle Security Operations and Security Command Center Premium, augmented by Mandiant Threat Intelligence for detection and response.
Operational scope covers development teams, business analysts, marketers, and frontline staff, with the transformation governed through a cloud first roadmap and regulatory approval from Bank Negara Malaysia to proceed. Governance and compliance are embedded through built in data access controls, encryption, and an operational security stack intended to support explainable generative AI use cases for internal knowledge retrieval and customer engagement.
Stated outcomes for the Bank Muamalat implementation include streamlined IT operations, enhanced responsiveness, faster time to market for new products, and significant cost savings and operational efficiency. The integrated deployment of Mambu Cloud Banking Platform, Backbase, and Google Cloud services is positioned to enable personalized, inclusive digital Islamic banking while maintaining financial services security and compliance requirements.
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Digital Banking | ERP Services and Operations |
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2024 | 2024 |
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AI Development
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Legacy | Google Cloud Vertex AI | Generative AI Platforms | AI Development | n/a | 2024 | 2024 |
In 2024, Bank Muamalat implemented Google Cloud Vertex AI as part of a broader adoption of Google Cloud services in the Generative AI Platforms category. The implementation is positioned within a multi-year cloud program to run the bank's digital core and front-end systems on Google Cloud to deliver personalized, inclusive Islamic banking services across Malaysia.
The technical footprint includes enterprise ready generative AI capabilities, with Bank Muamalat adopting Google Cloud Vertex AI features such as Vertex AI Search and Conversation to enable natural language retrieval and conversational exploration over internal data. The program also standardizes on Google Cloud infrastructure components including BigQuery for unified analytics, Looker for business-facing data views, Firestore as a serverless database to reduce data loss risk, and Chronicle Security Operations and Security Command Center Premium for centralized security telemetry.
Integrations are explicit and central to the deployment, with the bank integrating Mambu's digital core banking platform and Backbase's engagement banking platform on Google Cloud to power the Muamalat Application Platform that handles personal financing, education financing, home financing, and related customer journeys. Operational coverage spans developers, non-technical business analysts, marketers, customer-facing staff, and security operations teams, enabling faster software development cycles and more efficient customer application workflows.
Governance and controls are embedded at the platform level, using built in data access controls and customer managed encryption keys to align with financial services compliance expectations, and incorporating Mandiant Threat Intelligence into Google Cloud security tooling for enhanced detection and response. The deployment also emphasizes explainability for gen AI outputs by surfacing footnotes and links to supporting data sources, and it follows regulator engagement, including approval from Bank Negara Malaysia for the initiative.
Outcomes stated by the bank include accelerated application processing, with the enhanced Muamalat Application Platform enabling customers to complete financing applications up to six times faster, along with projected cost savings and streamlined IT operations. Additional stated benefits include improved threat detection and prevention of unintended data loss through the combined use of Firestore and Google Cloud security services, supporting the bank's goal of delivering faster, more personalized Islamic banking services.
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Analytics and BI
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Legacy | Google Looker | Analytics and BI | Analytics and BI | n/a | 2024 | 2024 |
In 2024, Bank Muamalat deployed Google Looker as a central component of its Analytics and BI capability on Google Cloud, aligning business intelligence with a cloud-based operating model. Google Looker is being used to consolidate first-party data into unified, 360-degree customer profiles that non-technical business analysts and marketers can access for targeted product and marketing design.
The implementation configured Google Looker to model enterprise datasets hosted in Google BigQuery, deliver reusable dashboards and governed self-service analytics, and provide a single semantic layer for customer, product, and campaign reporting. Looker was provisioned to support reporting for marketing automation, customer segmentation, and product analytics workflows, enabling analysts to generate insights without heavy engineering involvement.
Looker integrates with Google BigQuery and Google Marketing Platform to ingest and operationalize application and marketing data, and it sits alongside Vertex AI Search and Conversation as the analytics and BI front end for responsible generative AI use cases. The broader platform architecture includes Mambu as the digital core banking platform and Backbase for engagement banking, Firestore for serverless operational data persistence, and Google Chronicle Security Operations and Security Command Center Premium augmented by Mandiant Threat Intelligence for detection and response, all feeding governed datasets into BigQuery and Looker.
Governance for the Google Looker deployment emphasizes built-in data access controls and customer-managed encryption keys, aligning analytics access with the banks security and compliance requirements. The cloud-first rollout supports automation in document data capture and faster product launch cycles, including reported application completion speeds up to six times faster, and it enables staff to use unified data and AI-driven search to reduce time spent on information retrieval and focus on customer engagement and product design.
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Data Warehouse | Analytics and BI |
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2024 | 2024 |
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Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Collaboration | Collaboration |
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2022 | 2022 |
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CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Marketing Automation | CRM |
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2024 | 2024 |
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Tag Management | CRM |
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2019 | 2019 |
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TRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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AML, Fraud and Compliance | TRM |
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2021 | 2021 |
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PaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Apps Development | PaaS |
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2022 | 2022 |
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IaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Application Hosting and Computing Services | IaaS |
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2020 | 2020 |
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Application Hosting and Computing Services | IaaS |
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2024 | 2024 |
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Content Delivery Network | IaaS |
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2020 | 2020 |
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Database Management | IaaS |
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2024 | 2024 |
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CyberSecurity
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Endpoint Detection and Response (EDR) | CyberSecurity |
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2024 | 2024 |
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Endpoint Detection and Response (EDR) | CyberSecurity |
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2024 | 2024 |
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Threat Modeling | CyberSecurity |
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2024 | 2024 |
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Web Application Firewalls (WAF) | CyberSecurity |
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2021 | 2021 |
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IT Decision Makers and Key Stakeholders at Bank Muamalat
| First Name | Last Name | Title | Function | Department | Phone | |
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| No data found | ||||||
Apps Being Evaluated by Bank Muamalat Executives
| Date | Company | Status | Vendor | Product | Category | Market |
|---|---|---|---|---|---|---|
| No data found | ||||||