Operate
Data Science & Analytics
Forecasting, anomaly detection, experimentation and decision analytics that give leadership a quantified basis for operational choices.
About Data Science & Analytics
Data science and analytics services answer specific operational questions with defensible quantitative methods. The questions are concrete: what demand will be, which transactions or readings are anomalous, whether a change produced the effect claimed for it, and which option the evidence favors. The method follows from the question, and each engagement concludes with a recommended action and the quantified case for it.
We apply the same engineering standard to analytical work as to production systems. Each question is stated in writing with the decision it informs, the data is audited before modeling, and results are reported with their uncertainty and the assumptions on which they rest. Where an analysis is to be repeated, we deliver it as a maintained pipeline that the organization's team operates.
What you receive
- Forecasting and anomaly detection models in production
- Experiment design and causal inference reports
- Decision analytics dashboards and pipelines
- Documented methodology with stated assumptions and uncertainty
When to engage
Engage when an operational decision is being made on intuition or on analysis that cannot be reproduced, and the data exists to support a reproducible, quantified analysis.
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Discuss this service on a call.
Describe the objective and the systems it affects, and we will outline how an engagement would proceed.