
Data visualization is all about story telling, if the data is out of context the story might be unnoticed.
So how do we choose the right graph or chart for our dashboard?
Enable everyone at your organization to make actionable data-driven decisions with up-to-date analytics.
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 – faster.
Your business only moves as quickly as your data. Our experienced team will help you create accurate, quick data models for flexible and transparent access to your data.
Our first step is to listen to your business needs and your current processes to understand what you’re looking to get from your data. We’ll analyze your data sources and technical frameworks to understand the depth, breadth, and possibilities for your enterprise.
We’ll discuss opportunities and prototype solutions in Power BI so you can see your data working as quickly as possible. You can refine business processes and ensure your data is clean without strenuous and costly rework.
Based on the prototype model, we build and implement the solution so that you can get insights into your data and make business decisions from data you trust.
Imaginet has helped some of the largest companies around the globe with all of their data analytics 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.
Data visualization is all about story telling, if the data is out of context the story might be unnoticed.
So how do we choose the right graph or chart for our dashboard?
Documenting application feature details is quite often not given the attention needed as part of the development lifecycle and may be an after thought to the project deliverable artifacts. This, also, holds true for the development of Power BI Services (Workspaces, reports, dashboards, datasets, dataflows, etc.)…