We leverage best industry tools & software frameworks to store, process, analyze and visualize your data
AWS
Amazon Web Services (AWS) provides on-demand cloud computing platforms to individuals, companies and governments, on a metered pay-as-you-go basis.
Apache Spark
Apache Spark is a unified analytics engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.
Tableau
Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.
Vertica
Vertica provides a best-in-class, unified analytics platform that will forever be independent from underlying infrastructure
Apache Spark
Amazon EMR
Cloudera
Hadoop Map Reduce
Apache Airflow
Databricks
AWS Glue
Apache Hidi
Vertica
Amazon Redshift
MS SQL Server
Snowflake
Apache Impala
Postgre SQL
DynamoDB
Amazon Open Search
Amazon RDS
Tableau
D3 charts
Amazon QuickSight
Amazon S3
Amazon ECS
AWS Lambda
Amazon RDS
Redshift
Athena
Scala
Java
C#
TypeScript
Python
Angular JS /
Angular 2+
React JS
Ember.js
Take our short partnership survey and, together, we can develop the perfect solution to maximize the return on your investment in data.
We developed a new real-time experience platform which processes patient visit data and survey results for further analysis and reporting to track and manage the institution performance, patient satisfaction level, and timely react to incidents through feedback analytics and alerts.
We delivered an MVP for a health tech company’s sales department to improve the sales process under a new government healthcare provider program, Primary Care First (or PCF). This solution refers to PCF calculation beneficial product.
We built a scalable analytics product for a healthcare company to get the most out of hospital system logs for enabling comprehensive analytics to track usage, device failures, and performance.
Now we are working on a clinical study data synchronization portal requested by a clinical trial company for exporting data from their internal eClinical source system to sponsor platforms. The goal is to automate transfer of patient visit data by synchronizing it across two systems and reduce human-made errors by avoiding the need for double data entry.
We built a scalable data pipeline that performs batch and stream processing of autonomous vehicle (AV) data with high speed and accuracy. We also integrated an analytics platform to enable seamless analytics, AV performance monitoring, and operational metrics processing.
We conducted a Tableau implementation audit for the AdTech company to identify and resolve bottlenecks in their tool performance. The goal was to enhance the speed and efficiency of their Tableau dashboards and reports.
We crafted TreviseAI, a customer feedback analysis tool, which helps to transform reviews into actions, get customized responses, monitor critical sentiment shifts, and discover actionable insights.
We created a property auction product from scratch with only client’s idea. Its goal was to streamline the property buying and selling process, make it intuitive, scalable, and transparent to all users.
The result of the project is an MVP, a concise version of the original solution that would use publicly available data and showcase the demo results to the clients during the sales process without having to inquire them for anything before they saw the product. MVP approximates benefits of joining the PCF, personalized specifically for individual practices.
The result was a system that could handle a large number of data pipeline tasks. The number of delays and issues was reduced to the bare minimum. The client-side had more time to deal with business tasks.
Our Goal was to constantly improve and adapt technologies in order to scale the system from 0 to 10K users during a rapid customer growth and allow for a quick onboarding.
The main requirement was to replace an old subscriptions product, so a new one must have the same features and non-functional characteristics.
Project goal was to get system logs from all clients and build comprehensive analytics to track usage, devices failure and performance.
To address the need for a powerful insight solution, GreenM team built a product that covers all of the aforementioned aspects. A scalable cloud-based application accumulates and processes all available Tableau Server information.
A product that can’t be changed tomorrow may turn out to be a wasted investment. That’s why a scalability is a leading tendency among business.
We’re open to discussing your ideas and look forward to bringing them to life
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