Kuala Lumpur, 50100,
Malaysia
Bank Muamalat Technographics
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: FICO Siron for AML, Fraud and Compliance in 2021, Google Looker for Analytics and BI in 2024, Microsoft Azure Cloud Services for Application Hosting and Computing Services in 2020 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 FICO , Google , Microsoft 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.
TRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
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| FICO | Legacy | FICO Siron | AML, Fraud and Compliance | TRM | n/a | 2021 | 2021 | In 2021, Bank Muamalat configured FICO Siron to support its AML, Fraud and Compliance operations within the bank’s transaction monitoring program. The deployment focused on transaction screening and alert handling for BMMB products and services, and it was operated by the bank’s Executive AML Transaction Monitoring Analysts based in Kuala Lumpur. FICO Siron was implemented to codify rules and pattern detection workflows, generating alerts for analyst review and investigation. Functional modules in use align with transaction monitoring, rules engine configuration, alert management and case investigation workspaces, and reporting workflows that produce Questionable Activity Reports for escalation. Operationally, analysts review alerts generated in both Watchznow and the FICO Siron AML system, conducting daily investigations to determine suspicious transactions and potential money laundering or terrorist financing. Confirmed findings are prepared as Questionable Activity Reports and routed to the bank’s STR team for escalation to Bank Negara Malaysia, embedding the application into the bank’s compliance reporting chain. Governance and process changes centered on formalizing analyst procedures for rule tuning, alert triage, case documentation, and STR submission. The rollout emphasized investigator-led review cycles and structured escalation to the STR team, aligning FICO Siron with existing monitoring responsibilities and reporting obligations under Malaysian regulatory requirements. |
Analytics and BI
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
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| 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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IaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
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| Microsoft | Legacy | Microsoft Azure Cloud Services | Application Hosting and Computing Services | IaaS | n/a | 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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PaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
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Apps Development | PaaS |
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2022 | 2022 |
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Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
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Collaboration | Collaboration |
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2022 | 2022 |
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ERP Services and Operations
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
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Core Banking | ERP Services and Operations |
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2024 | 2024 |
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Digital Banking | ERP Services and Operations |
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2024 | 2024 |
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CyberSecurity
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
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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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AI Development
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
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Generative AI Platforms | AI Development |
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2024 | 2024 |
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CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
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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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