Bizapp
Rua Verbo Divino, 2001 – Tower B – 1804,
Sao Paulo, 04719-002,
Brazil
Sao Paulo, 04719-002,
Brazil
55 113 033 2350
Professional Services
Bizapp
List of Software Implementations where Bizapp is Reseller or System Integrator
Bizapp, a prominent reseller, system integrator, and consulting company, that plays a vital role in numerous system integration and digital transformation initiatives. Bizapp collaboration with software players such as Microsoft empowers organizations to embrace disruptive technologies and accelerate their journey to the cloud, thus reshaping their business models.
Bizapp is a Reseller or SI for the following software solutions:
| Reseller and SI | Vendor | Application | Category | Market |
|---|---|---|---|---|
| Bizapp | Microsoft | Microsoft Azure Databricks (AI) | Analytics and BI,Data Warehouse | Analytics and BI |
| Bizapp | Microsoft | Microsoft Azure Machine Learning | ML and Data Science Platforms | AI Development |
| Bizapp | Microsoft | Microsoft Dynamics 365 Customer Insights | Customer Data Platform | CRM |
| Bizapp | Microsoft | Microsoft Power BI | Analytics and BI | Analytics and BI |
List of Software Implementations where Bizapp is a Reseller or SI
| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Product | Category | When | Insight |
|---|---|---|---|---|---|---|---|---|---|---|
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Ministry of Economy (Brazil) | Government | 900 | $100M | Brazil | Microsoft | Microsoft Azure Machine Learning | ML and Data Science Platforms | 2021 |
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.
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Ministry of Economy (Brazil) | Government | 900 | $100M | Brazil | Microsoft | Microsoft Power BI | Analytics and BI | 2021 |
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.
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Ministry of Economy (Brazil) | Government | 900 | $100M | Brazil | Microsoft | Microsoft Dynamics 365 Customer Insights | Customer Data Platform | 2021 |
In 2021, the Ministry of Economy (Brazil) deployed Microsoft Dynamics 365 Customer Insights as its Customer Data Platform to improve profiling and placement outcomes for the National Employment System Sine. The initiative built on a multi-year objective that started in 2019 to raise Sine placement rates, and it ran alongside a structural change in 2021 when Sine’s administration was shifted with the reinstatement of the Ministry of Labor; Sine’s registry serves roughly 20 million people annually and provided the primary operational scope for the project.
Microsoft Dynamics 365 Customer Insights was configured as a centralized Customer Data Platform with Data Source connections to databases on servers that consolidated worker records dating back to 2000. The implementation emphasized ready-made modules and extensible configuration to accelerate delivery, enabling profile enrichment workflows and personalized matching logic. Machine learning pipelines were supported using Azure Machine Learning for model training and deployment, while Azure Databricks was used for algorithm development and data preparation, and Power BI was used to surface analytical dashboards to stakeholders.
The solution integrated directly with Sine operational processes and was paired with the Escola do Trabalhador 4.0 initiative to link qualification programs to placement workflows, creating a tighter feedback loop between training and hiring. The implementation targeted functional areas including worker profiling, candidate-job matching, workforce qualification tracking, and public employment service case management. Bizapp worked as the SI/VAR in partnership with Microsoft and Ministry teams during configuration and rollout activities.
Governance followed an iterative experiment-driven rollout, starting with pilot deployments in selected cities where the matching experiment achieved success rates above 70 percent in some cases. The profiling algorithm remains a work in progress and is slated for portal integration in a subsequent phase after additional adjustments. Microsoft support teams collaborated closely with Ministry staff during the build, accelerating knowledge transfer and enabling a pragmatic, phased expansion plan to scale matching and profiling capabilities across additional municipalities.
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Government | 900 | $100M | Brazil | Microsoft | Microsoft Azure Databricks (AI) | Analytics and BI,Data Warehouse | 2021 |
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IT Decision Makers and Key Stakeholders at Bizapp
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Buyer Intent: Companies Evaluating Bizapp Services
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Bizapp System Integrator / VAR Profile
Bizapp is a system integrator and technology consulting firm headquartered in Sao Paulo, Brazil, with approximately 70 employees and annual revenues of $7M.
Bizapp implements and supports enterprise applications across markets such as AI Development, Analytics and BI and CRM.
APPS RUN THE WORLD tracks 4 verified Bizapp software implementations across industries and regions, including: Ministry of Economy (Brazil) where Bizapp implemented Microsoft Azure Machine Learning, Ministry of Economy (Brazil) where Bizapp implemented Microsoft Power BI, and Ministry of Economy (Brazil) where Bizapp implemented Microsoft Dynamics 365 Customer Insights.
Bizapp has a strategic VAR/SI partnership with Microsoft, backed by verified deployments.
Independent Software Vendors (ISVs) can boost their ecosystem by identifying existing Bizapp partnerships, building strong channel relationships, and forging strategic implementation alliances to expand customer reach and accelerate adoption.
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