endorsedCompletedCloud-Based Site Inspection and Analytics for Energy Storage Company
Services Covered:
Industry
Energy & Natural Resources
Duration
8 months
Budget
10K - 49K
Start Date
1 December 2019
Team Size
1-5 Employees
Engagement Model
Nearshore
Project Capability Score (PCS)
70/100
Good
Project Capability Score (PCS) estimates how capable DICEUS is of successfully delivering a project like this, based on its past experience, track record, and ability to handle similar work. Learn more about PCS
Client
Confidential
GermanyProject Summary
Diceus developed a cloud-based site-inspection and analytics solution using Python to process large volumes of device and satellite data for an energy storage / oil and gas client. The delivered system met internal expectations, included the requested features, and the team demonstrated expertise in earth observation, cloud solutions, and big data while maintaining clear communication throughout the engagement.
Key Challenges
- Large volumes of data collected from various devices including satellites
- Need for a powerful solution to analyze data effectively and quickly
- Requirement for advanced analytics using satellite data
- Need to find a vendor with expertise in cloud, big data, and earth observation
Project Deliverables
- Cloud-based site inspection solution
- Data processing capability for large satellite and device datasets
- Requirements specification and project roadmap
- Testing and deployment assistance
Project Solution
Diceus proposed and used Python to build a cloud-based site inspection solution capable of processing big datasets from devices and satellites. They performed a discovery phase to gather business and technical requirements, provided end-to-end development including testing, and assisted with deployment. The vendor delivered a project roadmap with timeline, scope, and deliverables and worked with a five-person team covering BA, architecture, development, and testing.
Project Outcome
- Solution met internal team expectations and included required features
- Delivered within the agreed timeline and scope
- Demonstrated strong expertise in earth observation, cloud solutions, and big data
- Smooth communication with prompt handling of minor change requests
Platforms
Cloud
Tech Stack
Python
Client Endorsement
Overall Review Rating
4.88
5 out of 5 stars
5 out of 5 starsTimeliness
Cost Rating
Willing to Refer
Quality of Deliverables
“The solution met the expectations of the internal team and included all of the necessary features. Diceus provides a high-level of communication to facilitate a smooth collaboration. The team is experienced and technically knowledgeable.”
Note: This endorsement is based on publicly available client feedback from external review sources.
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