What Trusted Data Looks Like in Practice
Every organization’s data environment is different — different tools, constraints, and reporting needs. Below are examples of the types of work we deliver across Azure, Microsoft Fabric, Power BI, and adjacent modern data platforms such as Databricks.
Our Work
Make Sense of Your Data With Custom Solutions
Commercial Analytics & Reporting
For a mid-market B2B team, we automated ERP reporting by establishing reliable refresh pipelines and modeling a trusted KPI layer. The dashboard highlighted year-over-year movement across Sales, Margin, Quantity, and Discount, with Region and Channel context to explain performance drivers. This reduced manual reporting effort and improved the speed and quality of weekly and monthly decision-making.
Healthcare Analytics & Security
We built a secure, clinician-facing patient summary designed to surface critical information without extra navigation. Providers gained immediate visibility into demographics, medications, recent visit context, and lab results—including reference ranges and abnormal indicators—in a single streamlined view. Access controls ensured physicians only saw their own patients, with controlled lead-physician override for authorized system-wide visibility.
Higher Education & Research Analytics
This dashboard was built for a longtime client and collaborator, Gary, a college viability expert focused on institutional financial health and student outcomes. Using national education data, we created a dashboard that benchmarks completions by major and institution, highlighting trends and stability through rolling averages and market share. This work is part of an ongoing analytics effort to make complex higher-education indicators easier to understand, compare, and act on.
Let’s Talk Process
We’re a technical team, but we keep delivery straightforward: align early, ship in increments, validate carefully, and leave you with something maintainable. Whether we’re helping you build, modernize, or stabilize, our approach stays consistent and predictable.
DISCOVER
We align on goals, stakeholders, constraints, access, and what success looks like
DESIGN
We propose the architecture approach, modeling strategy, and a delivery plan with clear milestones.
BUILD & VALIDATE
We implement pipelines, curated datasets, semantic models, and dashboards — with QA, reconciliation, and hardening.
LAUNCH & SUPPORT
We deliver training, handoff documentation, and optional hourly/as-needed support
