Get Powerful Insights From Your Data
Data Engineering and Business Intelligence Services
Imaginet has helped organizations tackle their most challenging Business Intelligence (BI) needs for over 15 years.
Imaginet has helped organizations tackle their most challenging Business Intelligence (BI) needs for over 15 years.
Our developers bridge the gap between your data sources and your business goals so everyone on your team can analyze and examine your data from a variety of perspectives, gather new and meaningful insights, draw robust reports, and make actionable business decisions.
Our solutions are well-architected so that each layer is well-defined, is self-contained, and has minimal dependencies. We believe in establishing a clear separation of concerns, so that different types of development and authoring can take place by different groups of users, but that teams can collaborate well and react quickly and easily to changes.
Enable everyone to make actionable data-driven decisions with up-to-date analytics. Our team will help you create accurate, quick data models for flexible and transparent access to your data.
With our 5-day Power BI Quick Start, Imaginet’s Power BI Consulting Services team will design an initial data model using your own data to bring you insights you may never have had before.
Imaginet is different. And how we work is different. When it comes to your next Business Intelligence project, don't hire typical consultants. Hire our Imagineteers... and experience the difference for yourself.
Imaginet has helped some of the largest companies around the globe with all of their Business Intelligence needs.
Imaginet helped this energy safety regulator make instant and more informed business decisions from their data sprawl.
Imaginet built Power BI dashboards that provided new business insights that revolutionized this wine company’s decision making.
This governing health and safety organization improved the quality, agility, and adoption of their data with Imaginet’s guidance.
This Canadian drilling and oil company needed a better way to analyze data from multiple sources so they could focus on the highest producing regions.