The problem
You've invested in tools, dashboards, and reports. You're spending more time chasing data than acting on it, yet everyone around the table doesn’t trust the numbers. Uncertainty at the data level does not stay there.
It shows up in every meeting, every decision, and every missed opportunity. It is exactly the problem we built Simplify Data to solve.
The Solution
We build a structured analytics foundation your team uses every day to make real business decisions, so the numbers finally work for you instead of against you.
Tell me more
No matter which path you take, the result is the same: a data foundation your team trusts and uses to make real decisions.
Structured onboarding to connect, clean, and contextualize your data
Customized solutions to your business model, margins, and goals, not just a generic template
Analytics built around the decisions that drive e-commerce growth, not just the metrics
A single source of truth your whole team trusts
Reporting that grows with your business: maintained, refined, and always relevant
Business context mapping: stakeholder interviews, metric definitions, and strategic alignment
Custom data modeling and infrastructure for your business model
Decision-ready reporting designed around your leadership team
KPI frameworks tied to financial goals, not vanity metrics
Ongoing strategic partnership as your business evolves
step 1
step 2
step 3
step 1
Most audits stop at data quality. Ours starts with business context. We evaluate your current data and reporting, identify gaps, and establish what's actually preventing confident decisions.
step 2
Now that we understand your business context, we align stakeholders on what success looks like. We define the right metrics and build the reporting environment your business needs.
step 3
What we build together becomes a permanent part of how your business operates. We remain a dedicated partner, continuing to build and refine as your business evolves.
about us
Before founding Simplify Data, Rebecca Weisbart spent 15 years inside high-growth startups building data infrastructure, analytics systems, and reporting programs. That expertise led her into growth leadership roles, where she made the kind of decisions that feel impossible when your data cannot be trusted.
She has felt the pressure of bad data in real time and built systems to fix it. Now she leads a team bringing that same combination of operator instinct and deep technical execution to more brands at once.
