Cuiaba, 78050-903,
Brazil
Sefaz MT Technographics
Sefaz MT Technographics, Software Purchases, AI and Digital Transformation Initiatives
Discover the latest software purchases and digital transformation initiatives being undertaken by Sefaz MT and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 1500 Sefaz MT employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Sefaz MT has purchased the following applications: Cloudera Data Warehouse for Data Warehouse in 2014, Google Tag Manager for Tag Management in 2023 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Sefaz MT is running and its propensity to invest more and deepen its relationship with Cloudera , 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 Sefaz MT 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 Sefaz MT 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.
Sefaz MT Tech Stack and Enterprise Applications
Analytics and BI
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Cloudera | Legacy | Cloudera Data Warehouse | Data Warehouse | Analytics and BI | n/a | 2014 | 2015 |
In 2014 Sefaz MT implemented Cloudera Data Warehouse as a Data Warehouse solution to manage high volume tax and transport datasets generated across state systems. The deployment established a scalable analytics platform to support tax administration use cases in the government domain, with initial operational focus in Cuiabá and surrounding regions of Mato Grosso, Brazil.
Cloudera Data Warehouse was configured to provide core functional modules for data ingestion, batch data loads, SQL-based warehousing, and ad hoc analytics. Implementation work included ETL and data load pipelines to normalize Electronic Invoice NFe and NFCe records, Tax Bookkeeping EFD files, and Bill of Transport CTE data, plus interactive SQL access for analysts through Impala and Hive metadata services.
The architecture centered on the Cloudera CDH distribution, with Apache Hive used for structured dataset management and Impala for low-latency interactive queries. Source integrations explicitly included Oracle Exadata for relational extracts, Microsoft Reporting Services for managerial report delivery, and analytics environments such as Jupyter Notebook with Python for investigative and exploratory analysis.
Operational governance aligned the platform to tax analysis and investigative workflows, with IT analysts and analytics teams producing scheduled data loads, reports, and investigative notebooks to detect taxpayer anomalies and support managerial views. Cloudera Data Warehouse served as the central Data Warehouse for analytical workloads tied to state tax enforcement and related legal projects, with development and operational practices implemented to sustain ETL scheduling, query performance, and analytical collaboration.
|
CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Legacy | Google Tag Manager | Tag Management | CRM | n/a | 2023 | 2023 |
|
IT Decision Makers and Key Stakeholders at Sefaz MT
| First Name | Last Name | Title | Function | Department | Phone | |
|---|---|---|---|---|---|---|
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Apps Being Evaluated by Sefaz MT Executives
| Date | Company | Status | Vendor | Product | Category | Market |
|---|---|---|---|---|---|---|
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