Tirana, 1045,
Albania
Banka Kombetare Tregtare Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by Banka Kombetare Tregtare and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 1534 Banka Kombetare Tregtare employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Banka Kombetare Tregtare has purchased the following applications: Pega Platform for Business Process Management in 2018, B2ML Studio Auto-ML for ML and Data Science Platforms in 2023, Microsoft 365 for Collaboration in 2017 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Banka Kombetare Tregtare is running and its propensity to invest more and deepen its relationship with Pegasystems , Oracle , B2Metric 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 Banka Kombetare Tregtare revenues, which have grown to $180.0 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 Banka Kombetare Tregtare 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 Services and Operations
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Pegasystems | Legacy | Pega Platform | Business Process Management | ERP Services and Operations | n/a | 2018 | 2018 |
|
|
|
|
|
Core Banking | ERP Services and Operations |
|
2010 | 2010 |
|
AI Development
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| B2Metric | Legacy | B2ML Studio Auto-ML | ML and Data Science Platforms | AI Development | n/a | 2023 | 2023 |
In 2023, Banka Kombetare Tregtare implemented B2ML Studio Auto-ML to embed AutoML-driven customer journey analytics across marketing and credit functions. The deployment used B2ML Studio Auto-ML in the ML and Data Science Platforms category to operationalize predictive models for churn reduction, micro-segmentation, and loan/NPL scoring at the Albanian retail bank.
Implementation centered on automated model pipelines within B2ML Studio Auto-ML, emphasizing automated feature engineering, model selection, and production scoring workflows. Functional modules referenced in the engagement included churn prediction models, micro-segmentation capabilities for targeted marketing, and predictive loan and non-performing loan scoring models delivered as production scoring services.
Operational coverage targeted the bank's marketing and credit risk teams, with customer journey analytics informing campaign targeting and credit decisioning processes. Governance practices described included model validation and monitoring processes to manage model lifecycle and to maintain predictive performance within business workflows.
Reported outcomes from the B2Metric case study include a 27% reduction in churn and more accurate loan and NPL scoring following the B2ML Studio Auto-ML deployment. The work highlights Banka Kombetare Tregtare B2ML Studio Auto-ML ML and Data Science Platforms alignment with customer lifecycle management and credit risk scoring business functions.
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Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Microsoft | Legacy | Microsoft 365 | Collaboration | Collaboration | n/a | 2017 | 2017 |
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IaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
Application Hosting and Computing Services | IaaS |
|
2017 | 2017 |
|
| First Name | Last Name | Title | Function | Department | Phone | |
|---|---|---|---|---|---|---|
| No data found | ||||||
| Date | Company | Status | Vendor | Product | Category | Market |
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