Decision Hub

Measure, Simulate & Optimize Outcomes With Continuous, Data-Driven Intelligence

Decision Hub turns behavioral data and AI predictions into clear strategies. Analyze performance, forecast scenarios, and refine operations — all from one real-time control layer.

Contact

Join innovative organizations using Synerise Platform

and explore hundreds of low code use cases

Why

Decision Science at Enterprise Scale

Gartner predicts 75% of global enterprises will apply decision intelligence by 2026. Yet only 37% of executives report achieving both high-quality and high-velocity decisions simultaneously. This variance represents the core optimization problem in organizational decision theory.

75%

of enterprises will apply decision intelligence by 2026

Gartner, 2025

95%

of data-driven decisions will be at least partially automated

Gartner/IDC, 2025

60%+

of organizations embed analytics directly into business apps

Gartner, 2025

5–10×

faster decision-making with decision intelligence platforms

McKinsey, 2025

32%

higher profitability for companies using decision intelligence

Deloitte, 2025

10%

of global boards will use AI guidance to challenge executives by 2029

Gartner, 2025

Decision intelligence has reached 'transformational status' in the Gartner Hype Cycle for AI 2025

Only 37% of executives say their organizations make both high-quality and high-velocity decisions — DI closes this gap

75% of enterprises will embed real-time decision intelligence into customer-facing applications by 2027 (Gartner)

50% of business decisions will be augmented or automated by AI agents by 2027-2029 (Gartner, 2025)

Companies excelling in analytics are 23× more likely to acquire customers and 19× more likely to be profitable (McKinsey)

What

Decision Hub: Core Capabilities

Transforms behavioral observations and predictive model outputs into quantitative strategies — analyze performance distributions, simulate counterfactual scenarios, and optimize operational parameters from a unified analytical layer.

Real-Time Analytics

Live computational dashboards with behavioral metric aggregation, funnel analysis, and time-series cohort tracking.

Counterfactual Simulation

Test hypothetical parameter changes before deployment — model pricing elasticity, campaign timing effects, and audience sizing scenarios.

Objective-Based Optimization

Define KPI objective functions and let the platform continuously adjust campaign parameters, pricing, and content allocation toward them.

Multi-Touch Attribution

Multi-touch attribution modeling across channels and touchpoints with configurable weighting schemes and Shapley value decomposition.

Performance Benchmarking

Compare metric distributions across segments, time windows, and channels to isolate statistically significant performance differences.

Automated Reporting

Scheduled reports with anomaly detection alerts and multi-level drill-down capabilities into any computed metric.

How It Works

Four Steps to Value

From raw data to real business impact — a clear path from ingestion to activation.

Step 01

Collect Signals

Aggregate behavioral data, campaign metrics, and business KPIs into a unified analytics layer.

Real-time event ingestionCampaign performance dataRevenue attributionCustom metrics

Step 02

Analyze Patterns

Apply funnels, cohort analysis, trend detection, and segmentation to discover actionable insights.

Conversion funnelsCohort retentionTrend analysisSankey diagrams

Step 03

Simulate Scenarios

Model hypothetical changes before deployment — test pricing shifts, audience sizing, and campaign timing.

What-if analysisAudience forecastingBudget allocationScenario comparison

Step 04

Act & Optimize

Turn insights into automated decisions — goal-based optimization that continuously improves performance.

Auto-optimization rulesAlert thresholdsExecutive reportingROI tracking

Modules

Decision Intelligence Modules

Six analytical modules — from real-time dashboards and conversion funnels to advanced Sankey diagrams and geoanalytics — turning behavioral data into actionable intelligence.

Dashboard

1D7D30D

$142K

Revenue

+12%

3,847

Orders

+8%

4.2%

CVR

+0.3%

$36.90

AOV

-2%

Revenue trend

MonWedFriSun

Auto-refreshing · Last update: 12s ago

Dashboards

Real-Time Dashboards

Monitor your business pulse with configurable dashboards that stream live data. Build custom KPI widgets, arrange layouts with drag-and-drop, and share views across teams for unified decision-making.

Real-time KPI widgets with live data streaming

Customizable drag-and-drop dashboard layouts

Pre-built dashboard templates for common use cases

Shared dashboards with role-based access control

Embeddable widgets for external portals

Computational Segmentation

N-Dimensional Behavioral Segmentation Engine

Built on the proprietary TerrariumDB data engine, this is the only segmentation system that composes real-time behavioral streams, predictive model outputs, Cleora.ai graph embeddings, and arbitrary nesting depth into a single query algebra. Segment membership recomputes in milliseconds — enabling continuous, not batch, audience resolution.

<100msSegment recalculation

1B+Profiles supported

40+Condition types

∞Nesting depth

Visual Segment Builder

No-code audience creation

Condition types40+

Build segments of any complexity with a visual drag-and-drop builder. Combine behavioral events, profile attributes, aggregates, expressions, AI predictions, and time-based conditions into precise audience definitions — without writing a single line of code.

Drag-and-drop condition builder with AND/OR/NOT logic

Unlimited nesting depth for complex audience rules

Real-time profile count preview as you build

Behavioral event filters with time windows and frequency

AI prediction scores as segmentation criteria

Expression-based computed attributes in conditions

Segment Builder

234,891 match

Conditions

ANDpurchase.count ≥ 3 in last 30d

ANDchurn_risk < 0.3

ORsegment = "VIP"

ORltv_prediction > $500

ANDlast_session < 7d ago

NOThas_unsubscribed = true

+ Add condition

23% of base

Depth: 3 levelsConditions: 6Est. reach: 234.9K

Real-Time Segmentation

Sub-second audience updates

Recalculation speed<100ms

Segments update in real time — not in batch cycles. The moment a customer performs an action, their segment membership changes instantly. This powers immediate personalization, triggered automations, and live audience monitoring at any scale.

Sub-second segment recalculation on every event

Live audience size counter updating in real time

Instant trigger for automations on segment entry/exit

Streaming architecture — no batch processing delays

Handles 1B+ profiles with consistent <100ms latency

Entry/exit webhooks for external system synchronization

Live Event Stream

Processing 12.4K/s

nowpage_view /products/shoesActive Shoppers+1

1s agoadd_to_cart SKU-4821Cart Builders+1

2s agopurchase $129.00Buyers 30d+1

4s agosearch "summer dress"—0

5s agowishlist_add SKU-9912Wishlisters+1

7s agoapp_open ios—0

9s agoemail_click campaign-42Engaged Email+1

Segment recalculated in 47ms234,892 profiles

Entered

+142

Exited

-38

Net change

+104

AI-Powered Segments

Predictive audience intelligence

AI models available12

Go beyond rule-based segmentation. AI segments are built on propensity models, churn predictions, lifetime value forecasts, and behavioral embeddings from the Cleora.ai engine. The system discovers segments you didn't know existed — and updates them continuously.

Propensity-based segments (purchase, churn, engagement)

Lookalike audiences from seed profiles using Cleora.ai embeddings

AI-discovered micro-segments from behavioral clustering

Predictive LTV tiers with automatic threshold optimization

Anomaly detection segments flagging unusual behavior

Model confidence scores on every segment membership

AI Discovery

High-Intent Browsers+8%12,400

94%

Price-Sensitive Loyals+3%8,200

89%

Weekend Impulse Buyers+12%5,600

87%

Declining Engagers-5%3,100

91%

New Explorers+18%9,800

86%

Cleora.ai Embedding Model

Dimensions: 128Last trained: 3h agoAccuracy: 96.2%

RFM Analysis Engine

Recency, Frequency, Monetary scoring

Default tiers11

Automatic RFM segmentation that classifies every customer into behavioral tiers. Configure scoring thresholds, define custom tier labels, and watch as the engine continuously reclassifies profiles based on their latest transactional behavior.

Automated R/F/M score calculation per profile

Configurable scoring bins and tier boundaries

Custom tier labels (Champions, Loyal, At Risk, Lost)

Visual RFM heatmap with customer distribution

Trend tracking showing migration between tiers over time

Export RFM segments directly to campaigns and automations

RFM Heatmap64,820 profiles scored

TierRFMCount%

Champions

5558,42013%

Loyal Customers

44415,60024%

Potential Loyalists

33322,10034%

At Risk

22311,20017%

Hibernating

1224,3007%

Lost

1113,2005%

Distribution

Segment Overlap & Analytics

Audience intelligence dashboard

Segments analyzable∞

Analyze how segments intersect, compare performance across audience groups, and identify untapped micro-segments. The overlap matrix visualizes shared profiles between any combination of segments — essential for deduplication and budget optimization.

Visual overlap matrix for any segment combination

Venn diagram visualization of 2–4 segment intersections

Per-segment KPIs: conversion rate, AOV, LTV, engagement

Segment growth/decline trends over configurable periods

Exportable audience reports with CSV and API access

Cannibalization detection across campaign audiences

Overlap Matrix

Triple overlap: 821 profiles (1.8%)

A ∩ B

3,214

A ∩ C

2,108

B ∩ C

1,842

Dynamic Micro-Segments

Auto-updating behavioral cohorts

Auto-update frequencyReal-time

Micro-segments that evolve with your data. Define behavioral cohorts based on session patterns, purchase sequences, content affinity, or channel preferences — and watch them automatically expand, contract, and split as new behavioral data arrives.

Behavioral cohorts from session and event sequences

Content affinity segments from browsing and search patterns

Channel preference detection (email vs. push vs. SMS)

Automatic cohort splitting when patterns diverge

Lifecycle stage tracking (new → active → declining → churned)

Cohort comparison dashboards with statistical significance

Dynamic Cohorts

Active Shoppers

Active·4.2/wk

34.2K+12%

Browse-Only Visitors

Declining·1.8/wk

18.7K-3%

Email Enthusiasts

Growing·2.1/wk

22.1K+8%

Mobile-First Users

Growing·5.6/wk

15.4K+24%

Cart Abandoners

Stable·1.4/wk

11.2K-2%

Multi-Channel Power Users

Growing·8.3/wk

6.8K+31%

Auto-recalculated every event · Last: 12s ago

Results

Decision Intelligence Impact

Organizations using Synerise Decision Hub demonstrate reduced decision latency and improved decision accuracy, validated against real-time behavioral intelligence baselines.

Decision-making speed

Before

3–5 days

After

Minutes

1000× faster

Dashboard load time

Before

12s

After

0.8s

15× faster

Attribution accuracy

Before

Single-touch

After

Multi-touch

Full picture

Forecast accuracy

Before

68%

After

91%

+34%

Report generation

Before

Manual

After

Automated

Zero effort

Conversion funnel visibility

Before

3 steps

After

Unlimited

End-to-end

Architecture

Decision Hub Architecture

A real-time analytical computation platform that transforms behavioral observations and model outputs into quantitative decision strategies with measurable outcome functions.

Data Collection

Data Sources

Behavioral eventsCampaign metricsRevenue dataExternal feeds

Processing

Real-time aggregationMetric computationTrend calculationAnomaly detection

Storage

Time-series DBColumnar storeCache layerQuery optimizer

Analytics Engine

Funnel Analysis

Multi-step funnelsDrop-off analysisSegment comparisonTime-based cohorts

Trend Engine

Trend detectionSeasonalityForecastingAnomaly alerts

Segmentation

Dynamic segmentsRFM analysisBehavioral clustersLookalike modeling

Decision Layer

Dashboards

Custom widgetsReal-time refreshDrill-downExport

Optimization

Goal-based rulesBudget allocationAttribution modelsWhat-if scenarios

Reporting

Scheduled reportsExecutive summariesAlert rulesData API

Comparison

Traditional BI vs. Synerise Decision Hub

How Synerise's real-time decision intelligence compares to traditional business intelligence tools.

Feature

Traditional

Synerise

Data freshness

ETL-based (hours/days)

Real-time streaming

Dashboard speed

10-30s load time

<1s load time

Analysis types

Pre-built reports

Funnels, cohorts, Sankey, trends, segments

Segmentation

Static lists

Dynamic, real-time segments

Predictions

Not included

Built-in forecasting & simulation

Action

Manual export

Direct automation triggers

How

153 Applied Research Scenarios

Empirically validated implementations across industries — each documenting measurable effect sizes and methodology.

Saving and recovering product configuration

Advanced

Help customers return to unfinished product configurations and complete their purchase

AutomationCouponsDynamic contentemail

Brickworks loyalty template with tiered offer

Advanced

Create a Brickworks schema for an email template with tiered offer based on an expression

New customersother

Extra loyalty points for fast in-store pickup

Medium

Grant extra loyalty points for fast in-store pickup

AutomationLoyaltyNew customersother

Report with top purchased products per store

Advanced

Send a report with the top 10 most purchased products for each store profile

AutomationMetricsReportsother

Recommendation with last seen items

Medium

Recommend last seen items while excluding those recently added to cart

AggregatesAI recommendationsPersonalizationemail

Cart-Based Recommendation with Last Seen and Last Bought Exclusion

Medium

Show recommendation based on cart content, while excluding recently viewed and bought items

AggregatesAI recommendationsPersonalizationemail

Welcome Promotion and Instant Bonus for Loyalty Club Members

Medium

Automatically assign a welcome promotion for new loyalty program members, send reminder emails if unused, and follow up with a new instant bonus promotion if the welcome offer is used

AutomationLoyaltyNew customersemail