Find the real problem.
I listen, test assumptions, and get clear on the decision or task that matters before designing the solution.
I’m Danielle Reilly. I untangle complex data and real-world processes, then build clear, database-driven products around the people who use them.
Built around the problem. Adapted to the people.
Good tools take more than a database. They take curiosity about the problem, care with the details, and respect for the person doing the work.
I listen, test assumptions, and get clear on the decision or task that matters before designing the solution.
I bring together sources, definitions, and business logic so the product rests on information people can rely on.
I turn that understanding into focused portals, dashboards, and workflows that feel natural in everyday use.
ReillyDB is the adaptable base I use to create database-driven products. Each solution is shaped around its audience, information, and workflow—so it solves a real problem instead of adding another system to manage.
The foundation is flexible. The shape of each product comes from the people, decisions, and work it needs to support.
One clear place for records, tasks, progress, and next steps—organized around the roles of the people using it.
Dashboards and reports with definitions you can trust, useful context, and a path back to the underlying detail.
Thoughtful ways to move information between systems and turn repetitive work into a reliable, reviewable process.
A working example of the ReillyDB approach, designed around a specific team and a specific point in the member journey.
A clearer six-week start for new members.
Start Strong gives club staff one shared place to enroll members, log activities, follow coaching milestones, and see who needs attention. Advisors and managers see the same underlying progress in views made for their roles. The linked concept uses fictional demo data.
Explore the working demoI’m Danielle Chilton Reilly, a data and business intelligence professional who likes getting to the heart of complicated problems. My work spans data modeling, analytics, CRM information, visualization, and the practical details that make a solution hold up in real life.
I’m especially drawn to work where definitions are messy, systems do not quite connect, and people need a simpler way forward. I ask careful questions, challenge easy assumptions, and make the result understandable to both technical and nontechnical teams.
Tell me what is hard to see, understand, or get done. That is where we start.