São Paulo, 04543-011,
Brazil
Santander Brasil Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by Santander Brasil and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 52000 Santander Brasil employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Santander Brasil has purchased the following applications: Sankhya Espresso for Expense Management in 2022, Genesys Cloud CX Chat Workforce Engagement for Workforce Management in 2024, Cloudera Data Science Workbench for ML and Data Science Platforms in 2019 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Santander Brasil is running and its propensity to invest more and deepen its relationship with Sankhya , Genesys , Cloudera 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 Santander Brasil revenues, which have grown to $16.00 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 Santander Brasil 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 |
|---|---|---|---|---|---|---|---|---|
| Sankhya | Legacy | Sankhya Espresso | Expense Management | ERP Financial Management | n/a | 2022 | 2022 |
In 2022, Santander Brazil implemented Sankhya Espresso for Expense Management. The vendor listing indicates Santander Brazil uses the Sankhya Espresso expense management platform to automate corporate expense, reimbursement and corporate card workflows across Brazil, with an explicit aim to reduce manual reconciliation. The deployment targeted national finance operations and corporate card program administration rather than a single site.
The implementation emphasized core Expense Management capabilities, with Sankhya Espresso used for expense reporting, automated approval routing, corporate card transaction reconciliation and employee reimbursement processing. Modules in use are inferred from vendor product descriptions and customer branding to include expense management, corporate cards and reimbursements, enabling standardized receipt capture, policy enforcement and workflow-driven approvals.
Operational coverage included finance, accounts payable and reimbursement functions across Brazil, with governance focused on standardizing approval workflows and reconciliation routines to support corporate card and reimbursement lifecycles. The vendor statement explicitly cites reduced manual reconciliation as an outcome of the Santander Brazil Sankhya Espresso Expense Management deployment.
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HCM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Genesys | Legacy | Genesys Cloud CX Chat Workforce Engagement | Workforce Management | HCM | n/a | 2024 | 2024 |
In 2024, Santander Brazil implemented Genesys Cloud CX Chat Workforce Engagement. Santander Brazil deployed Genesys Cloud CX Chat Workforce Engagement in the Workforce Management category to introduce cloud-based contact center workforce management and chat capabilities supporting approximately 66 million customers and more than 10,000 agents.
The implementation centralized core workforce management capabilities, including forecasting, capacity planning, scheduling, real-time adherence and agent engagement tied to chat channel orchestration. Configuration emphasized cloud-hosted Genesys Cloud services with agent desktop integration for chat handling and workforce modules for scheduling, intraday management and quality-focused workforce engagement.
Operational scope targeted contact center and customer service operations across Santander Brazil, with rollout organized around agent workgroups and workforce operations teams. Governance changes aligned with workforce planning and scheduling processes, and the deployment is positioned to provide a significant improvement for both the customer and agent experience.
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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 | 2019 | 2019 |
In 2019 Santander Brazil deployed Cloudera Data Science Workbench as an ML and Data Science Platforms solution to support credit risk modeling and personal retail credit operations in its São Paulo risk teams. Cloudera Data Science Workbench was adopted to centralize model development and orchestration for Goods and Services portfolio analytics, customer clustering under the DNA initiative, and ongoing monitoring of preapproved offers, daily production, default and profitability indicators.
The implementation leveraged Cloudera Data Science Workbench capabilities for interactive Python and PySpark development, model packaging and distributed training, and scheduled model scoring workflows. Development artifacts included SAS and SQL models reimplemented or wrapped in Python PySpark notebooks, customer segmentation models, and production scoring pipelines used by credit decisioning and profitability analysis teams.
Data and tooling integrations were explicit, with the platform operating against the bank s Cloudera data environment via Hue with Hive and Impala for table access, and exchanging outputs with SAS based processes and Qlik Sense dashboards for executive reporting. The solution fed credit granting rules, and integrated with the bank s portfolio management, anti fraud, and collections teams to align model outputs with operational decision workflows.
Governance centered on credit risk model approval, KPI definition for decision making, and an operational monitoring cadence run by the Credit Risks and Personal Retail Credit areas in São Paulo. The deployment standardized model development and monitoring practices within those business functions and provided a single environment for iterative model maintenance and collaboration between analytics, portfolio management and fraud and collections stakeholders.
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Analytics and BI
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Analytics and BI | Analytics and BI |
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2022 | 2022 |
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Blockchain
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Blockchain Platform | Blockchain |
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2019 | 2019 |
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Content Management
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Digital Signing | Content Management |
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2021 | 2021 |
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Web Content Management | Content Management |
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2021 | 2021 |
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CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Customer Analytics | CRM |
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2021 | 2021 |
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Customer Experience | CRM |
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2021 | 2021 |
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Customer Experience | CRM |
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2018 | 2018 |
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Customer Experience | CRM |
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2019 | 2019 |
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Customer Experience | CRM |
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2021 | 2021 |
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Data Management Platform | CRM |
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2018 | 2018 |
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Digital Advertising Platform | CRM |
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2019 | 2019 |
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Marketing Analytics | CRM |
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2021 | 2021 |
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Marketing Automation | CRM |
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2015 | 2015 |
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Marketing Automation | CRM |
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2019 | 2019 |
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Marketing Automation | CRM |
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2021 | 2021 |
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Marketing Automation | CRM |
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2023 | 2023 |
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ITSM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Application Performance Management | ITSM |
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2020 | 2020 |
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PaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Data Replication | PaaS |
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2019 | 2020 |
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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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2015 | 2015 |
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Content Delivery Network | IaaS |
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2019 | 2019 |
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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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2017 | 2017 |
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Secure Email Gateways (SEGs) | CyberSecurity |
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2020 | 2020 |
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Secure Email Gateways (SEGs) | CyberSecurity |
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2020 | 2020 |
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Internet of Things
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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IoT Platform | Internet of Things |
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2018 | 2018 |
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