Londrina, 86015,
Brazil
Vivo Brazil Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by Vivo Brazil and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 330000 Vivo Brazil employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Vivo Brazil has purchased the following applications: NetCracker BSS/OSS for OSS/BSS in 2021, Cloudera Data Science Workbench for ML and Data Science Platforms in 2022, Tableau for Analytics and BI 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 Vivo Brazil is running and its propensity to invest more and deepen its relationship with NEC Corporation , Cloudera , Tableau 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 Vivo Brazil revenues, which have grown to $45.00 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 Vivo Brazil 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 |
|---|---|---|---|---|---|---|---|---|
| NEC Corporation | Legacy | NetCracker BSS/OSS | OSS/BSS | ERP Services and Operations | n/a | 2021 | 2021 |
|
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 | 2022 | 2022 |
In 2022, Vivo Brazil deployed Cloudera Data Science Workbench as a core element of its ML and Data Science Platforms footprint to support Fraud Analytics. The Cloudera Data Science Workbench installation was positioned to centralize model development and productionization for teams serving internal partner areas across the business.
The implementation emphasized model development and operational modules, including interactive notebook and job scheduling environments, model training on Apache Spark using PySpark, and support for classification, forecasting, and clustering workflows. Cloudera Data Science Workbench was used to author, test, and package models, and to orchestrate repeatable training workflows consistent with ML and Data Science Platforms patterns.
The environment was integrated with Vivo Brazil data sources and processing layers including Hadoop, Spark, Hive, Kafka, HBASE, and BI systems such as SQLSERVER, TERADATA, and ORACLE, enabling end to end data access from feature engineering through model scoring. Operational coverage centered on the Fraud Analytics function in São Paulo Brazil, with outputs delivered to multiple partner teams across the organization.
Governance and deployment followed an MLOps approach, implementing the CDSW MLOPS structure to manage model lifecycle, versioning, and production rollout. The project established standardized pipelines and collaboration processes between data scientists and downstream stakeholders, and models developed in Cloudera Data Science Workbench were delivered into production environments using the CDSW MLOPS structure to serve partner areas.
|
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 | 2019 | 2019 |
|
|
|
|
|
Analytics and BI, Data Warehouse | Analytics and BI |
|
2024 | 2025 |
|
|
|
|
|
Data Warehouse | Analytics and BI |
|
2019 | 2019 |
|
Content Management
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
Digital Asset Management | Content Management |
|
2020 | 2020 |
|
eCommerce
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
eCommerce | eCommerce |
|
2021 | 2021 |
|
CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
Customer Experience | CRM |
|
2021 | 2021 |
|
|
|
|
|
Customer Experience | CRM |
|
2018 | 2018 |
|
|
|
|
|
Customer Experience | CRM |
|
2016 | 2016 |
|
|
|
|
|
Marketing Analytics, Data Management Platform | CRM |
|
2020 | 2020 |
|
|
|
|
|
Tag Management | CRM |
|
2013 | 2013 |
|
|
|
|
|
Tag Management | CRM |
|
2020 | 2020 |
|
IT Asset Management
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
IT Asset Management (ITAM) | IT Asset Management |
|
2018 | 2018 |
|
PaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
Extract, Transform, and Load (ETL), Data Replication | PaaS |
|
2019 | 2019 |
|
|
|
|
|
Transactional Email | PaaS |
|
2023 | 2023 |
|
|
|
|
|
Transactional Email | PaaS |
|
2018 | 2018 |
|
IaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
Application Hosting and Computing Services | IaaS |
|
2014 | 2014 |
|
|
|
|
|
Application Hosting and Computing Services | IaaS |
|
2021 | 2021 |
|
|
|
|
|
Application Hosting and Computing Services | IaaS |
|
2011 | 2011 |
|
|
|
|
|
Content Delivery Network | IaaS |
|
2022 | 2022 |
|
CyberSecurity
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
Data Loss Prevention | CyberSecurity |
|
2023 | 2023 |
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