Clouds on Mars
visit site- $5,000+
- 50 - 249 employees
- Warszawa, Poland
Clouds on Mars is a big data analytics company. They focus on BI & big data consulting & SI, other IT consulting and SI, ux/ui design, cloud consulting & SI, and more and were established in 2017. Their midsize team is Warszawa, Poland-based.
Client Insights
Industry Expertise
15%
10%
10%
10%
5%
5%
5%
5%
5%
Client Size Distribution
Small Business (<$10M) 15%
Midmarket ($10M - $1B) 55%
Enterprise (>$1B) 30%
Common Project Size
$10K-$49K 2 projects
Clients
This provider has not added their key clients.
Highlights from Recent Projects
Clouds on Mars was hired by a tobacco company to enhance their data analytics and Power BI skills. The Clouds on Mars team, consisting of 6-10 employees, conducted deep dive sessions to understand the company's learning needs, created a knowledge assessment tool, prepared a learning program, delivered training, and prepared a post-training assessment tool. The client found Clouds on Mars through an online search and referral, and chose them for their high ratings, geographical proximity, cultural fit, and good value for cost.
In another project, Clouds on Mars was hired by a financial company, SIX Group Services, to implement a Power BI reporting platform. The team of 2-5 employees was responsible for the implementation of the platform, creating reports, and importing data from other cloud solutions. The client found Clouds on Mars through an online search and chose them due to their geographical proximity.
Clouds on Mars also worked with Enamor International, an ICT company specializing in cybersecurity, network and radio technologies. The company hired Clouds on Mars to create a system architecture, a technical project, and to implement a solution. The team of 2-5 employees prepared the architecture and technical design, and implemented the MS Azure platform for a custom web application. They also provided consulting on the implementation of a .Net application. The client found Clouds on Mars through a referral and chose them for their geographical proximity, budget-friendly pricing, and good value for cost.