Our Business Engagement Model

We adopt a Proof of Value (PoV) business engagement model in cooperation with our clients. Before any formal commitments, clients can experience our services and solutions in the real environment for the first 30 days – entirely on us. If satisfied, we transition into a value-based pricing system, ensuring transparency and fairness.

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What We Offer

Architecture Audit and Consultation

The cornerstone of DataForge Technologies is an innovative data warehouse built on the robust foundation of Snowflake and AWS, complemented by a pool of AWS data tools. Regarding IoT and Time Series-related data streams, DataForge Technologies leverages Azure's architecture and various DB tools chosen to match the case.

Custom Solution Development

At the core of DMaaS lies a robust data warehouse constructed on Snowflake, with AWS serving as the backend, complemented by their suite of data tools. For Time Series and IoT data streams, we leverage Azure architecture alongside a suite of DB tools tailored to each use case.

Project-Based Resourcing

Talend, our chosen ETL and Master Data Management engine, ensures seamless integration and scheduling. These processes and data structures are meticulously documented in Confluence, bolstered by a dedicated help desk that manages day-to-day tasks and project-related activities using JIRA.

DMaaS Staffing

Whether individual or pod-based resourcing, we cater to all your business needs, from data analytics to data science. Our expertise includes Snowflake, SQL, Talend, Matillion, AWS, Azure, GCP, Data Modeling, Oracle, AS400, Mongo, Python, and more.

Wide Service Offering

Beyond data management, we provide a fully staffed service. Whether on-premise or cloud, we can transition your architecture to ours or optimize your existing setup with our best practices and advanced toolset.

Our outcome-based business engagement model includes:

Initial Assessment and Trial Phase

Comprehensive due diligence
Prioritized requirements
Strategic roadmap
Field assets recognition
30-day complimentary engagement

Output:
Solidified business direction

Insights and Refinements for the Greatest Outcomes

Comprehensive production reports
Advanced business intelligence insights
Training sessions for in-house personnel
Combined human expertise with technology

Output:
A tangible view of data outputs

Streamlining Operations with Innovative Technologies

Holistic solution integration
Efficient sensor implementation
Ground-level product evaluation
Seamless data transmission to the cloud
Expert data manipulation and processing

Output:
Autonomous monitoring of key assets

The Advantages for Sustainable Growth

Significant cost reductions
Finding new revenue channels
Overseeing operations remotely
Predictive maintenance insights
Data-backed, timely decision-making

Output:
A smarter, more responsive O&G enterprise

At DataForge, we utilize industry knowledge to bring a human approach to data management

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