Affine
Modern Analytics & BI

Insight in Minutes.
Not Mondays.

Affine builds self-serve analytics and decision-grade BI for every business team - executive dashboards, natural-language queries, brand telemetry - so decision speed catches up to data velocity.

Modern Analytics and BI in production
The Challenge

Dashboards Read.
Decisions Wait.

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.

Proof Points
0+
Years in Analytics Delivery
0+
Fortune 500 Clients
0%
Client Retention Rate
Solutions

Four Capabilities. One Analytics Layer for Every Team.

Each layer is independently deployable and proven in production - combine them for compounding returns.

01

Brand Performance Analytics

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.

0%
brand awareness lift
02

Self-Serve Analytics & NL Queries

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.

0%
fewer ad-hoc requests
03

Executive Dashboards & Telemetry

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.

Real-time KPI visibility
04

Product & Customer Analytics

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.

Predictive analytics at the dashboard
Our Approach

The Engine Behind Self-Serve Analytics.

Four proven systems - each battle-tested in enterprise deployments - working in concert.

01

Semantic Layer & Data Modeling

Single source of governed business logic - KPI definitions, dimensional models, metric registries - ensuring every dashboard speaks the same language as every report.

One definition, every dashboard
02

NLP-Powered Sentiment Engine

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.

Sentiment at consumer scale
03

BI Tool Integration Framework

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.

Tool-agnostic delivery
04

Time-Series & Predictive Layer

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.

Predictive in the dashboard
Case Studies

Proof, Not Promises.

Real-Time Brand Performance Telemetry for a CPG Enterprise

Multi-channel brand health platform - NLP sentiment engine, competitive intelligence tracking, and real-time visualization across 360° brand touchpoints.

Measured Impact
  • →0% increase in brand awareness metrics
  • →Marketing ROI lift across paid + organic channels
  • →Reduced market research spend through real-time consumer signal
CPG · Brand Strategy

Self-Serve BI Platform for a Retail Enterprise

Governed self-serve analytics replacing ticket-driven dashboard requests across merchandising, operations, and category teams.

Measured Impact
  • →0% reduction in ad-hoc reporting requests
  • →Time-to-insight shifted from weeks to hours
  • →Analytics team focus moved from ticket queue to high-value modeling
Retail · BI Operations

Product Telemetry & Funnel Analytics for a SaaS Enterprise

Event-driven product analytics surfacing funnel conversion, retention cohorts, and feature-adoption signal across the active user base.

Measured Impact
  • →Funnel conversion lift through targeted intervention
  • →Retention cohort insight delivered weekly to product teams
  • →Feature adoption signal informing roadmap prioritization
SaaS · Product Telemetry
Start Now

Ready to put analytics in every team's hands?

Talk to our experts and get a tailored roadmap for your business.

Book a Discovery Call Explore the Agentic Launchpad