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Data Analysis
Turn messy data into decisions you can defend.
Forecasting, segmentation, and anomaly detection—paired with assumptions you can read, not black-box charts nobody trusts.
why it matters
We work where spreadsheets end: joins across sources, reproducible transforms, and analysis that holds up in a meeting. You get crisp questions answered, uncertainty called out, and outputs your team can reuse—not a one-off deck that ages overnight.
deliverables
- 01Data assessment: quality, gaps, and what is safe to infer
- 02Reproducible pipelines and documented definitions
- 03Dashboards or notebooks tuned to decisions, not vanity metrics
- 04Modeling when it earns its keep— with validation you can audit
- 05Narratives for stakeholders: what changed, why it matters, what next
how we work
- 01Start from the decision, then trace backward to the data you need.
- 02Prototype analysis fast; formalize only what repeats.
- 03Peer-review assumptions and edge cases before rollout.
- 04Package so others can rerun, extend, or challenge the work.
ideal for
- Leaders who need one trustworthy view across siloed exports
- Growth and finance teams comparing scenarios under pressure
- Anyone burned by pretty charts that broke when the business shifted
pricing
Data Analysis work runs through the same lane as everything else, and the price follows the shape of the work. Book 15 minutes and leave with a number.
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