enterprisedataflow
Application analytics with room to breathe
We help product teams in Korea and beyond turn noisy event streams into definitions, funnels, and dashboards they can defend.
Primary engagement
Instrumentation Audit
Most analytics problems are naming and coverage problems wearing a dashboard costume. We inventory what your application emits, align it to the decisions you make weekly, and leave a shared event dictionary your engineers will accept into the repo.
Instrumentation Audit
A structured review of your event schema, naming conventions, and tracking coverage across web and mobile surfaces.
Funnel & Conversion Analysis
Trace drop-offs from first open to paid action, then isolate the steps worth fixing first.
Retention & Cohort Study
Understand who stays, who leaves, and which behaviours predict long-term use of your product.
Analytics Stack Setup
Select, configure, and document an application analytics stack your team can operate without guesswork.
How work unfolds
Five steps from signal chaos to a system you keep
Our process is designed for product and engineering pairs who need clarity without a permanent analytics bureaucracy.
Walk the process
Client evidence
What teams say after the numbers settle
They rebuilt our event dictionary in three weeks. For the first time, product and engineering argued about the product—not about which chart was wrong.
The funnel work showed a drop-off we had blamed on pricing. It was an identity merge bug. That single finding changed our roadmap.
Clear process, no theatre. We left with dashboards the team still opens every Monday.
Bring us a messy tracking plan
Tell us what your application measures today and which decisions still feel like guesses. We will reply with a practical next step.