Machine learning

Advanced Analytics


Data warehouse design & implementation

Many companies routinely store large amounts of data across multiple systems with untapped analysis potential. These include existing databases, APIs, spreadsheets, log files, and external data feeds, to name a few. A data warehouse with thoughtful design can unlock this potential and organize the data to provide valuable business insights which can enable more informed decisions for people across your organization.

At the start of every data warehouse project, Logic20/20 technology consultants conduct an analysis phase to understand the metrics and KPIs that are most important to the business (the ones that will guide real business decisions), catalog the available data sources, and identify the user groups who will be utilizing the system. This will inform the design considerations of the system, including hardware requirements, and can surface gaps in the available data which will need to be filled during the project.

Once the analysis phase is done, a project plan will be put in place to determine timelines and benchmarks, and to guide the technical implementation of the system. The implementation team will then work closely with the project manager and business stakeholders throughout the project to ensure progress is accurately communicated and any technical issues are addressed.

A well-designed data warehouse is the foundation for creating a “single version of truth” with an organization’s data, supporting analytics and helping members across an organization make better decisions with data.


Practice Area Lead

Mick Wagner

Mick Wagner
Experienced leader helping teams succeed with data lifecycle strategy, solution architecture, data management, and more.


Adam Cornille

Adam Cornille
Data science leader and practitioner with over a decade of field experience in development, statistics, and management practices.


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