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Overview

$50,000+

Min Project Size

$50 - $99/hr

Avg Hourly Rate

10 - 49

Employees

2012

Year Founded

ABOUT BIGCHEESE

AWS Premier Partner

BigCheese is a Premier Partner of AWS, exclusively focused on the AWS ecosystem. We adhere to the philosophy of "Think Big, Start Small," which shapes our approach to guiding organizations through impactful digital transformations, step by step. Our entire team is 100% AWS-certified and focuses on crucial areas for cloud success: migration, modernization, cost optimization, governance, and AI/ML data solutions. We go beyond simple lift-and-shift strategies; we redefine how technology can drive sustainable business growth. Clients from various industries rely on us to translate AWS best practices into tangible business results, backed by our profound technical knowledge, strategic insights, and unwavering commitment that exemplifies a genuine Premier Partner. Our Services: We leverage certified expertise, established frameworks, and a "Think Big, Start Small" strategy to achieve measurable results throughout your AWS journey.

LANGUAGES SPOKEN

English

HIGHLIGHTS

$50,000+

Min Project Size

$50 - $99/hr

Avg Hourly Rate

10 - 49

Employees

2012

Year Founded

Services

Focus

Industries

Clients

Services Provided

100% Cloud Consulting & SI

Portfolio

Geographically monitor of the network in real time

Nuevo Siglo TV

The Solution for Nuevo Siglo: GIS Integration, Customization, and AWS Cloud. AWS Technologies Used: Amazon EC2, Amazon RDS, Amazon Dynamo DB, AWS Lambda. Client Overview: Nuevo Siglo, a cable television provider established in 1995, aims to offer the best programming worldwide to every household in Montevideo, focusing on delivering exceptional value through their products, services, and skilled staff. The Objective: Develop a georeferenced alarm system to quickly detect potential issues, enhancing service quality and reducing customer support costs for Nuevo Siglo. The Outcomes: 1 - The interval between issue onset and detection was cut down to 12 minutes, enabling the maintenance team to identify problems before customers raise complaints. 2 - By tracking 10,000 points in real-time, we implemented an interactive visualization that allows for swift classification of issues and corresponding repair procedures. For intricate problems, monitoring individual customers led to a reduction of up to 80% in resolution time and allowed for better monitoring of each situation, thus minimizing future complaints. 3 - We can now gather more insights into user behavior. It’s possible to determine if users enter numbers or use arrow buttons to change channels, which customers utilize the menu button, and identify the most popular channels, among other data.

Avedian's ecosystem by integrating different techs

Avedian

The Solution for Avedian Platform: Custom Solutions + DevOps & SRE + AWS Cloud Technologies: Amazon Aurora, AWS CodePipeline, Amazon RedShift, Amazon EC2, AWS Lambda Client: Avedian, provider of health management solutions Avedian specializes in creating technological solutions for utilizing Related Diagnostic Groups in the economic management of healthcare facilities. They also focus on implementing outcome-based payment and contracting models, assisting physicians and health administrators in developing Value-Based Healthcare models that streamline decision-making. The Challenge: Enhance and expand Avedian's technology framework with a performance-oriented strategy by integrating various solutions to improve patient care and optimize treatment costs. The Results: 1 - We significantly reduced the time required for processing gigabyte-sized Excel files into the platform, cutting it from over 4 hours to just 15 minutes, while also improving data consistency and checks for a better end-user experience. 2 - We now generate detailed monitoring and new metrics consistently to facilitate quicker technical and business responses to various events. 3 - As new hospitals and healthcare institutions join the ecosystem quarterly, the platform automatically scales to meet demand without compromising user experience and ensures real-time data availability.

An on-site visual tool based on the GIS

CSI Ingenieros

The Solution for CSI Ingenieros: GIS + Customization + AWS Cloud Technology: Amazon EC2, Elastic Load Balancing, Amazon RDS Client: CSI-Ingenieros CSI-Ingenieros offers a wide range of consulting and engineering services, excelling in fields such as Water and Wastewater Management, Transportation, Ports and Waterways, Environmental Solutions, Industry, Energy, Urban Development, Construction, and Economic and Financial studies integrated with Information Technology. The Challenge: To create an intuitive visual tool that utilizes geolocation on a map, enabling surveyors and maintenance personnel to use it on-site, thereby optimizing their time and reducing costs. The Results: 1 - User efficiency in route surveying increased fourfold, leading to a 400 percent improvement in man-hour output. 2 - With enhanced accuracy of survey data through geolocated coordinates, productivity for route maintenance grew by 200 percent. 3 - The time taken for decision-making was shortened due to real-time data availability and the georeferenced visualization of routes across various layers, from a broad aerial view to a detailed perspective.

17 more projects

Projects & Clients

Project Size & Rate

Minimum Project Size

$50,000+

Average Hourly Rate

$50 - $99/hr

Pricing Snapshot

Min Project Size

$50,000+

Avg Hourly Rate

$50 - $99/hr

Cost Rating

N/A

What Clients Have Said

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"BigCheese delivers quality projects within budget and timeline expectations based on verified client feedback."

Based on verified reviews and internal benchmark data

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Cloud Consulting & SI

Industry Recognitions

Locations

Headquarters

26 de Marzo 3438 - 501

Montevideo, Montevideo, Uruguay 11300

+59899114903

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BigCheese

Set Up By Edverise AI

Edverise AI built this profile by analyzing thousands of data points across the web. If you own this business, become an Edverise partner to manage and update your profile.