Modern analytics and BI turn enterprise data into decisions every business team can make without waiting on an analyst. Affine builds self-serve analytics and decision-grade BI - executive dashboards, natural-language queries, brand telemetry - so decision speed catches up to data velocity.
Most enterprise BI delivers reports - not decisions. Self-serve breaks at scale, governance breaks at velocity, business teams file tickets. Affine builds the analytics layer that surfaces decision-grade signal to every team, without IT-bottlenecked refresh cycles.
Each layer is independently deployable and proven in production - combine them for compounding returns.
Multi-channel brand telemetry - equity, sentiment, competitive position, marketing ROI - measured continuously. NLP sentiment engines, time-series trend models, and competitive intelligence tracking surface market signal as it happens.
Business teams asking questions in natural language, getting decision-grade answers without an analyst in the middle. Governed, semantic-layered, and tuned to your data estate - analytics that scale past the BI bottleneck.
Real-time dashboards integrating Power BI, Tableau, Looker, ThoughtSpot - with semantic governance baked in. Executive visibility, not just reporting. Drill-through paths from KPI to root cause without filing a ticket.
Product telemetry, customer behavior, and conversion analytics with predictive ML built into the dashboards - funnel forecasting, churn signal, propensity scoring - surfaced where teams already work.
Four proven systems - each battle-tested in enterprise deployments - working in concert.
Single source of governed business logic - KPI definitions, dimensional models, metric registries - ensuring every dashboard speaks the same language as every report.
Production NLP pipelines processing social, survey, and unstructured feedback at scale. Sentiment, intent, and competitive signal extracted with deep-learning models tuned to your category.
Production wiring for Power BI, Tableau, Looker, ThoughtSpot. Authentication, semantic mappings, row-level security, performance tuning - none of which IT should be doing by hand.
Forecasting, anomaly detection, and predictive scoring embedded directly in analytical surfaces. Predictive signal lives where decisions are made - not in a separate model-serving silo.
Multi-channel brand health platform - NLP sentiment engine, competitive intelligence tracking, and real-time visualization across 360° brand touchpoints.
Governed self-serve analytics replacing ticket-driven dashboard requests across merchandising, operations, and category teams.
Event-driven product analytics surfacing funnel conversion, retention cohorts, and feature-adoption signal across the active user base.
