Data Factory
Rapid Predictable Data
and Analytics Delivery
Welcome to Dataception's Data Factory, where we revolutionize the way businesses handle data and analytics through our Rapid Predictable Data and Analytics Delivery model. Our innovative approach ensures that data solutions are delivered efficiently, reliably, and at scale, empowering businesses to make data-driven decisions with confidence. The Data Factory model encompasses three iterative phases—Discover, Industrialize, and Operate—each meticulously designed to transform raw data into actionable insights. By leveraging cutting-edge technology and a collaborative team of experts, we streamline the entire data lifecycle, from initial understanding and rapid prototyping to rigorous production testing and continuous enhancement. Join us as we explore how our comprehensive methodology can drive your business's data capabilities to new heights.
Data Factory Model
Three Iterative Phases
Discover
Understand/Prototype and test with the Business
-
Triage:
Explanation of sizing and resourcing based on analytics delivery types.
-
Rapid Prototyping:
Using cloud-based tools for quick development.
-
Collaborative Alignment:
Ensuring market and technical fit through teamwork.
Industralize
Harden, Production test and Control
-
Scalability Enhancement:
Industrializing components for large-scale deployment.
-
Quality and Compliance:
Maintaining integrity and governance standards.
-
Specialized Collaboration:
Roles of Data Engineers, Architects, and Governance Specialists.
Operate
Continuous Monitoring and Enhancement
-
Sustainability Assurance:
Focus on long-term performance monitoring.
-
Adaptive Evolution:
Integrating user feedback and managing product lifecycles.
-
Insight-Driven Operations:
Utilizing operations teams and data analysts for ongoing improvements.
Deliver Model
D&A Orders Factory
Delivery Pods Block
On Demand Teams
On Demand Teams
Dynamic Scale
Life-cycle
Component Build Out