# Advanced Analytics

*/Departments/Advanced_Analytics*

## Neighborhood

### Related (delivered by)

- [Deliver predictive analytics and optimization services](/Processes/Deliver_predictive_analytics_and_optimization_services) — delivered by · Processes

### Measured by

- [Model Time to Deployment](/Metrics/Model_Time_to_Deployment) — measured by · Metrics
- [Decision Lift from Analytics](/Metrics/Decision_Lift_from_Analytics) — measured by · Metrics
- [Model Adoption Rate](/Metrics/Model_Adoption_Rate) — measured by · Metrics
- [Model Predictive Accuracy](/Metrics/Model_Predictive_Accuracy) — measured by · Metrics

### Processes it runs

- [Model Testing and Performance Validation](/Processes/Model_Testing_and_Performance_Validation) — runs · Processes
- [Model Performance Monitoring](/Processes/Model_Performance_Monitoring) — runs · Processes
- [Establish data, information, and analytic objectives](/Processes/Establish_data,_information,_and_analytic_objectives) — runs · Processes
- [Building Predictive and Decision Models](/Processes/Building_Predictive_and_Decision_Models) — runs · Processes
- [Deploy Models into Decision Workflows](/Processes/Deploy_Models_into_Decision_Workflows) — runs · Processes

### Problems this exposes

- [time-to-deployment pressure incentivizes shipping without tracked lineage, making the result unreproducible later](/Problems/time-to-deployment_pressure_incentivizes_shipping_without_tracked_lineage,_making_the_result_unreproducible_later) — exposes problem · Problems
- [deployment-speed target charges analytics for time lost to data-access and governance approvals that are the real bottleneck and outside their authority](/Problems/deployment-speed_target_charges_analytics_for_time_lost_to_data-access_and_governance_approvals_that_are_the_real_bottleneck_and_outside_their_authority) — exposes problem · Problems
- [an offline predictive-accuracy target incentivizes overfit models that score well on backtest but fail the deployed success metric](/Problems/an_offline_predictive-accuracy_target_incentivizes_overfit_models_that_score_well_on_backtest_but_fail_the_deployed_success_metric) — exposes problem · Problems
- [accuracy is reported on a backtest baseline that production drift monitoring judges differently, so two governance gates disagree on the same model](/Problems/accuracy_is_reported_on_a_backtest_baseline_that_production_drift_monitoring_judges_differently,_so_two_governance_gates_disagree_on_the_same_model) — exposes problem · Problems
- [adoption rate is owned by analytics but driven by stakeholder interpretability and trust the team can't mandate, so the metric penalizes them for a behavior they can't command](/Problems/adoption_rate_is_owned_by_analytics_but_driven_by_stakeholder_interpretability_and_trust_the_team_can't_mandate,_so_the_metric_penalizes_them_for_a_behavior_they_can't_command) — exposes problem · Problems
- [adoption stalls because models stuck in notebooks were never productionized, yet the adoption metric reads as a modeling failure](/Problems/adoption_stalls_because_models_stuck_in_notebooks_were_never_productionized,_yet_the_adoption_metric_reads_as_a_modeling_failure) — exposes problem · Problems
- [lift is scored against a success metric that was decoupled from the original business-problem framing, so the model is judged on a goal it wasn't built for](/Problems/lift_is_scored_against_a_success_metric_that_was_decoupled_from_the_original_business-problem_framing,_so_the_model_is_judged_on_a_goal_it_wasn't_built_for) — exposes problem · Problems
- [decision lift is confounded with business actions the analytics team doesn't control, so it can't isolate the model's causal contribution to defend the function at budget time](/Problems/decision_lift_is_confounded_with_business_actions_the_analytics_team_doesn't_control,_so_it_can't_isolate_the_model's_causal_contribution_to_defend_the_function_at_budget_time) — exposes problem · Problems
- [reframed problem scope mid-project not propagated to the validation plan, so backtests answer the old question](/Problems/reframed_problem_scope_mid-project_not_propagated_to_the_validation_plan,_so_backtests_answer_the_old_question) — exposes problem · Problems
- [backtest metrics not carried into the production drift baseline, so validation and monitoring judge models differently](/Problems/backtest_metrics_not_carried_into_the_production_drift_baseline,_so_validation_and_monitoring_judge_models_differently) — exposes problem · Problems
- [business-problem framing decoupled from the success metric the deployed model is later scored on](/Problems/business-problem_framing_decoupled_from_the_success_metric_the_deployed_model_is_later_scored_on) — exposes problem · Problems
- [model drift detected late, after business impact](/Problems/model_drift_detected_late,_after_business_impact) — exposes problem · Problems
- [models stuck in notebooks, never productionized or monitored](/Problems/models_stuck_in_notebooks,_never_productionized_or_monitored) — exposes problem · Problems
- [data scientists block on data access and governance approvals](/Problems/data_scientists_block_on_data_access_and_governance_approvals) — exposes problem · Problems
- [stakeholders can't interpret model outputs to act on them](/Problems/stakeholders_can't_interpret_model_outputs_to_act_on_them) — exposes problem · Problems
- [feature engineering re-implemented per project with no feature store](/Problems/feature_engineering_re-implemented_per_project_with_no_feature_store) — exposes problem · Problems
- [experiment results not reproducible without tracked lineage](/Problems/experiment_results_not_reproducible_without_tracked_lineage) — exposes problem · Problems
- [Production Model Drift Monitoring](/Problems/Production_Model_Drift_Monitoring) — exposes problem · Problems

### Staff

- [Decision Scientist](/JobTypes/Decision_Scientist) — staff · JobTypes
- [Analytics Translator](/JobTypes/Analytics_Translator) — staff · JobTypes
- [Quantitative Analyst](/JobTypes/Quantitative_Analyst) — staff · JobTypes
- [Advanced Analytics Manager](/JobTypes/Advanced_Analytics_Manager) — staff · JobTypes
- [Machine Learning Engineer](/JobTypes/Machine_Learning_Engineer) — staff · JobTypes
- [Data Scientist](/JobTypes/Data_Scientist) — staff · JobTypes

### Part of

- [Financial Services Firm](/CompanyTypes/Financial_Services_Firm) — part of · CompanyTypes
- [Retail Chain](/CompanyTypes/Retail_Chain) — part of · CompanyTypes
- [Large Enterprise](/CompanyTypes/Large_Enterprise) — part of · CompanyTypes