Ministry of Economy (Brazil)
Rua Mayrink Veiga, 9, Centro, 22,
Rio de Janeiro, 20090-910,
Brazil
Rio de Janeiro, 20090-910,
Brazil
55 21 3037 3032
Government
Ministry of Economy (Brazil) Technographics
Ministry of Economy (Brazil) Software Purchases and Digital Transformation Initiatives
Discover the latest software purchases and digital transformation initiatives being undertaken by Ministry of Economy (Brazil) and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 900 Ministry of Economy (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 Ministry of Economy (Brazil) has purchased the following applications: Microsoft Azure Machine Learning for ML and Data Science Platforms in 2021, Microsoft Power BI for Analytics and BI in 2021, Plone for Content Management in 2020 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Ministry of Economy (Brazil) is running and its propensity to invest more and deepen its relationship with Microsoft , Plone , Google 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 Ministry of Economy (Brazil) revenues, which have grown to $100.0 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 Ministry of Economy (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.
Ministry of Economy (Brazil) Data, Technology Stack, and Enterprise Applications
AI Development
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Microsoft | Legacy | Microsoft Azure Machine Learning | ML and Data Science Platforms | AI Development | Bizapp | 2021 | 2022 |
In 2021, the Ministry of Economy (Brazil) implemented Microsoft Azure Machine Learning as a cloud-hosted analytics and modeling layer to improve worker placement through the National Employment System Sine. The initiative built on a 2019 goal to increase Sine's placement rate and leveraged historical registration data dating back to 2000, while Sine remained under the Ministry's jurisdiction until its relocation in 2021 when the Ministry of Labor was reinstated.
The implementation combined Microsoft Azure Machine Learning with Dynamics 365 Customer Insights as the customer data platform, Azure Databricks for data preparation and algorithm testing, and Power BI for visualization. Microsoft Azure Machine Learning was used to train, deploy, and manage models and to support MLOps workflows, while Dynamics 365 Customer Insights ingested unified profiles through configured Data Source connections to departmental databases. The solution centered on two analytic signals, a profiling algorithm to identify workers at higher risk in the job market and a matching system that ranked candidates for vacancies using curriculum, prior selection processes, and expressed interests.
The technical architecture was cloud native on Microsoft Azure, integrating Azure Machine Learning, Azure Databricks, Dynamics 365 Customer Insights, and Power BI with database connections for historical and operational data. Bizapp participated as an SI/VAR alongside Microsoft in implementation and operational support, and Microsoft technicians provided daily hands-on guidance that accelerated team skill transfer. Escola do Trabalhador 4.0 was added as an interconnected qualification layer, using content from Microsoft Learn to supply courses that feed into candidate upskilling and profiling.
Operational scope included pilot experiments in selected cities and coordination across the Ministry's special projects team and Sine operational units, with plans to expand to additional municipalities and occupations. Governance incorporated iterative model refinement, a staged rollout approach where algorithms remain under adjustment prior to full portal integration, and alignment between analytics teams and the Escola do Trabalhador 4.0 training program to support professional insertion workflows.
Outcomes reported from the pilots include a matching system that achieved over 70 percent success in some cities, while the profiling algorithm has not yet reached its target performance and requires further tuning. The Ministry documented increased institutional learning and greater visibility for training offerings, and it plans to embed the refined algorithms into the public portal in a subsequent phase. This deployment positions the Ministry of Economy (Brazil) Microsoft Azure Machine Learning ML and Data Science Platforms implementation to centralize workforce matching and profiling capabilities within government employment services.
|
Analytics and BI
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Microsoft | Legacy | Microsoft Power BI | Analytics and BI | Analytics and BI | Bizapp | 2021 | 2022 |
In 2021, the Ministry of Economy (Brazil) deployed Microsoft Power BI as the visualization layer for an Analytics and BI program that supported the National Employment System Sine and related workforce matching initiatives. The implementation was part of a broader effort to improve profiling and placement of jobseekers served by Sine, a system that registers roughly 20 million workers and was under the Ministry of Economy until the Ministry of Labor was reinstated and Sine was relocated in 2021.
The solution architecture centered on Dynamics 365 Customer Insights as the customer data platform, with Data Source connection configuration to a database on a server to unify historical records dating back to 2000. Azure cloud services were used for infrastructure, Microsoft Azure Machine Learning was applied to train and manage predictive models, and Azure Databricks supported algorithm testing and data preparation, while Microsoft Power BI served as the front end for information presentation and dashboarding within the Analytics and BI scope.
Integrations explicitly implemented included Dynamics 365 Customer Insights, Azure Machine Learning, Azure Databricks, and database connectors feeding the Customer Insights CDP into Power BI for reporting. The implementation partner Bizapp worked alongside Microsoft in the deployment, and the program included the Escola do Trabalhador 4.0 initiative which delivered more than 22 free courses based on Microsoft Learn content to support workforce qualification and professional insertion.
Governance and rollout followed an experimental, city-by-city approach with close collaboration with Microsoft teams and daily checkpoints during early phases to accelerate learning and delivery. Trials in selected cities produced a matching success rate above 70 percent in some cases, the profiling algorithm remains under refinement, and the ministry plans to embed the machine learning algorithms into the public portal in a subsequent phase.
|
|
|
|
|
Analytics and BI, Data Warehouse | Analytics and BI |
|
2021 | 2022 |
|
Content Management
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Plone | Legacy | Plone | Content Management | Content Management | n/a | 2020 | 2020 |
|
CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
Customer Data Platform | CRM |
|
2021 | 2022 |
|
|
|
|
|
Tag Management | CRM |
|
2020 | 2020 |
|
PaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
Apps Development | PaaS |
|
2020 | 2020 |
|
|
|
|
|
Apps Development | PaaS |
|
2020 | 2020 |
|
IT Decision Makers and Key Stakeholders at Ministry of Economy (Brazil)
| First Name | Last Name | Title | Function | Department | Phone | |
|---|---|---|---|---|---|---|
| No data found | ||||||
Apps Being Evaluated by Ministry of Economy (Brazil) Executives
| Date | Company | Status | Vendor | Product | Category | Market |
|---|---|---|---|---|---|---|
| No data found | ||||||
FAQ - APPS RUN THE WORLD Ministry of Economy (Brazil) Technographics
Ministry of Economy (Brazil) is a Government organization based in Brazil,
with around 900 employees and annual revenues of $100.0 million.
Ministry of Economy (Brazil) operates a diverse technology stack with applications such as
Microsoft Azure Machine Learning, Microsoft Power BI and Plone,
covering areas like ML and Data Science Platforms, Analytics and BI and Content Management.
Ministry of Economy (Brazil) has invested in cloud applications and AI-driven platforms to optimize efficiency and growth,
collaborating with vendors such as Microsoft and Plone.
Ministry of Economy (Brazil) recently adopted applications including
Microsoft Azure Machine Learning in 2021, Microsoft Power BI in 2021 and Microsoft Azure Databricks (AI) in 2021,
highlighting its ongoing modernization strategy.
APPS RUN THE WORLD maintains an up-to-date database of Ministry of Economy (Brazil)’s key decision makers and IT executives,
available to Premium subscribers.
Our research team continuously updates Ministry of Economy (Brazil)’s profile with verified software purchases,
vendor relationships, and digital initiatives identified from public and proprietary sources.
Subscribe to APPS RUN THE WORLD to access the complete Ministry of Economy (Brazil) technographics profile,
including detailed breakdowns by category, vendor, and IT decision makers.