Jeonju-si, 561-711,
South Korea
JB Financial Group Co Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by JB Financial Group Co and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 3620 JB Financial Group Co employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that JB Financial Group Co has purchased the following applications: Douzone Bizon WEHAGO Smart A10 for ERP Financial in 2019, Cloudera Data Science Workbench for ML and Data Science Platforms in 2018, Tableau for Analytics and BI 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 JB Financial Group Co is running and its propensity to invest more and deepen its relationship with Cloudera , Tableau Software , Apache Software 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 JB Financial Group Co revenues, which have grown to $1.49 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 JB Financial Group Co 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.
ERP Financial Management
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Legacy | Douzone Bizon WEHAGO Smart A10 | ERP Financial | ERP Financial Management | n/a | 2019 | 2019 |
In 2019, JB Financial Group Co deployed Douzone Bizon WEHAGO Smart A10 as its ERP Financial platform. The deployment followed a partnership contract with Douzone Bizon to provide e-banking services on the vendor's web-based business platform Wehago, and the group announced plans to launch an online branch to deliver financial services to companies and workers through the platform. The implementation aligned with chairman Kim Ki-hong's digital innovation drive and the company vision to accelerate tailored customer services under new corporate leadership.
Douzone Bizon WEHAGO Smart A10 was configured to support core finance and banking workflows typical of an ERP Financial system, including general ledger, accounts payable, accounts receivable, cash management, and customer account lifecycle management. The project emphasized e-banking service orchestration and web-based front-office workflows to enable online branch interactions, with business process configuration for corporate client onboarding and transaction processing. Automation was introduced for routine financial reconciliation and reporting to streamline group-level finance operations.
The deployment integrated JB Financial Group operating units such as Jeonbuk Bank, Kwangju Bank, JB Woori Capital, and JB Asset Management onto a common web-based platform environment on Wehago to standardize e-banking delivery across the group. The platform was positioned to serve domestic corporate customers and worker users through online branch channels, and to support the group’s Southeast Asia market entries tied to holdings in Phnom Penh Commercial Bank and JB Capital Myanmar. Integration work focused on aligning banking product catalogs and transaction interfaces with the Wehago platform while maintaining operational separation required by regulated subsidiaries.
Governance and rollout were driven by executive sponsorship, with program governance set to centralize customer-facing digital services under the ERP Financial backbone. Process restructuring prioritized standardized service orchestration for e-banking and centralized finance controls, with a phased approach to onboard subsidiary banks and corporate clients onto the online branch. The rollout roadmap emphasized regulatory alignment and business-level ownership to support the group’s strategic objective of delivering tailored financial services.
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AI Development
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Cloudera | Legacy | Cloudera Data Science Workbench | ML and Data Science Platforms | AI Development | n/a | 2018 | 2018 |
In 2018, JB Financial Group Co implemented Cloudera Data Science Workbench as part of its ML and Data Science Platforms initiative. The deployment targeted group level analytics capabilities and established a standardized data science environment across two subsidiary banks and one capital entity within the holding company.
Cloudera Data Science Workbench was configured to provide collaborative notebook environments, reproducible model training, and containerized runtimes for experiment orchestration and model packaging. The implementation emphasized Spark based scalable compute for large scale feature engineering and batch model training, while enabling JupyterLab style development workflows and model lifecycle management.
The deployment integrated Cloudera Data Platform components with Apache Hadoop storage, Apache NiFi for ingestion, Spark for distributed processing, Tableau for visualization, and Docker for runtime consistency. These integrations fed unified data lakes built for the two banks and the capital unit, and the data lake construction was the first among Korean financial holding companies, with explicit schema definitions for customer behaviour data logs to support analytics and scoring.
Operational governance centralized a data science organization, role based access controls, and an internal curriculum for upskilling data experts, led by the Head of Data Team. Use cases executed on Cloudera Data Science Workbench included market response modeling, customer clustering using HDBSCAN DenseClus and KMeans on Spark, customer behaviour analysis and remarketing, and promotion predictive models using Random Forest RFECV and Logistic Regression, which produced a 4 to 5 times increase in response rate and a 3 times increase in conversion rate according to internal reporting.
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Analytics and BI
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Tableau Software | Legacy | Tableau | Analytics and BI | Analytics and BI | n/a | 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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2019 | 2019 |
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IaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Database Management | IaaS |
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2018 | 2018 |
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