Integrated Planning & Discovery: This phase of data warehouse consulting services establishes a solid groundwork for the project’s success. This is achieved by ensuring the alignment of stakeholder expectations and goals with an in-depth examination of the organization’s current tech landscape. Key activities done by data warehouse consultants include identifying business needs, cataloging data sources and connectors, evaluating existing reports and machine learning models, projecting budgetary needs and team structure, assessing the quality of data, and analyzing metrics. This phase culminates in conceptualizing a data warehouse strategy and ETL framework to propose solutions with different tech stacks and develop a prototype.
Development & Testing: Based on the chosen tech stack and defined needs, this phase focuses on constructing a resilient data warehouse. Key tasks involve setting up the database structures and schemas, integrating various data sources, creating ETL processes, conducting data profiling, importing past data records, enforcing data integrity measures, fine-tuning automation processes, and conducting rigorous testing to ensure reliability and performance.
Ongoing Support: This phase involves establishing a dedicated team to provide support services for the data warehouse, encompassing the resolution of issues in compliance with SLA conditions, minimizing expenses related to storage and processing, executing minor improvements, overseeing system operations, and troubleshooting.