Kolkata, 700091,
India
Bandhan Bank Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by Bandhan Bank and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 69702 Bandhan Bank employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Bandhan Bank has purchased the following applications: FIS Memento for AML, Fraud and Compliance in 2018, GoDaddy for Application Hosting and Computing Services in 2022, SAP HCM Benefits for Benefits Administration in 2018 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Bandhan Bank is running and its propensity to invest more and deepen its relationship with FIS Global , Azentio , GoDaddy 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 Bandhan Bank revenues, which have grown to $1.41 billion 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 Bandhan Bank 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 |
|---|---|---|---|---|---|---|---|---|
| FIS Global | Legacy | FIS Memento | AML, Fraud and Compliance | TRM | n/a | 2018 | 2018 |
In 2018 Bandhan Bank implemented FIS Memento, deploying the FIS Memento financial real-time fraud detection product to support AML, Fraud and Compliance workflows across its fraud detection and compliance business functions. The effort centered on operationalizing rule-driven real-time monitoring and data validation pipelines within the bank's fraud analytics stack.
Implementation work included extensive data engineering and analytics activities to operationalize FIS Memento. The engagement performed root cause analysis on poor quality alerts by querying almost two million records stored in an Oracle Database, loading extracts into Jupyter notebooks, and developing Python routines to collect and shape target datasets. Database management responsibilities included collecting, cleaning, transforming, structuring, and modeling data using SQL and Excel, and translating business requirements into data events and fields consumed by the FIS Memento detection engine.
Integration and operational coverage focused on the Oracle Database as the primary data store, Jupyter for investigative analysis, and custom Python routines and SQL pipelines developed with data engineers. The implementation bridged engineering and business teams, supporting business users of the FIS Memento application and embedding fraud detection workflows into existing compliance processes. Workstreams emphasized close collaboration with remotely based business stakeholders to clarify detection requirements and event mappings.
Project governance used scrum and agile methodology to gather and elaborate requirements, plan and monitor project activities, and coordinate rollout. The rollout included provisioning FIS Memento to business users and delivering end user training. The implementation identified inefficiencies and a lack of validations in Bandhan Bank business processes, which were documented during the data quality and root cause analysis phases.
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AML, Fraud and Compliance | TRM |
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2018 | 2018 |
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IaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| GoDaddy | Legacy | GoDaddy | Application Hosting and Computing Services | IaaS | n/a | 2022 | 2022 |
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Application Hosting and Computing Services | IaaS |
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2022 | 2022 |
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Content Delivery Network | IaaS |
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2022 | 2022 |
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HCM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| SAP | Legacy | SAP HCM Benefits | Benefits Administration | HCM | n/a | 2018 | 2018 |
In 2018 Bandhan Bank implemented SAP HCM Benefits in the Benefits Administration category. The rollout targeted core benefits and compensation administration for the bank, aligning benefits configuration and enrollment with the broader SAP HCM landscape used by the organization and covering the bank workforce of approximately 69,702 employees in India.
The implementation of SAP HCM Benefits focused on standard Benefits Administration capabilities, including benefits master data and plan configuration, eligibility rule definition and processing, benefits enrollment workflows, and employee self service for benefits selection. Configuration efforts emphasized rule-driven eligibility and plan mapping to support compensation and benefits workflows referenced in the bank's HR function.
Operational integration tied benefits processes to payroll management and HR master data feeds, ensuring that benefits eligibility and deductions flowed into payroll processes and that benefits records remained synchronized with employee records. The system supported HR, payroll, and compensation teams through role based access and transactional interfaces between benefits administration modules and core HR data.
Governance and process changes accompanied the deployment, with defined change control for eligibility rules, role based provisioning for benefits administrators and HR managers, and structured training for HR and payroll staff to operate SAP HCM Benefits. Rollout emphasized configuration governance and operational handoff to centralized HR operations to maintain benefits plan integrity and ongoing rule maintenance.
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Compensation Management | HCM |
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2018 | 2018 |
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Core HR | HCM |
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2020 | 2020 |
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Core HR | HCM |
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2018 | 2018 |
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Payroll | HCM |
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2018 | 2018 |
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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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ERP Services and Operations
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Core Banking | ERP Services and Operations |
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2024 | 2024 |
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Core Banking | ERP Services and Operations |
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2022 | 2024 |
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Digital Banking | ERP Services and Operations |
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2022 | 2024 |
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ERP Financial Management
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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ERP Financial | ERP Financial Management |
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2017 | 2017 |
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CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Sales Automation, CRM, Sales Engagement | CRM |
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2022 | 2022 |
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