Understand Your Numbers — Improve Your Results

Sales & Operational Analytics

Deep sales and operations analytics that reveal what's working, what's not, and exactly where to focus to drive growth.

Overview

Sales reports that show revenue are a start. Analytics that show why deals are won or lost, which reps need coaching, which campaigns drive the highest LTV customers, and which operational bottlenecks cost you margin — that's a competitive advantage. We build analytics systems that answer the questions leadership needs to drive real performance.

Core Capabilities

Sales Pipeline Analytics

Full Funnel
Pipeline Visibility

Stage-by-stage conversion rates, average deal velocity, win/loss analysis, and rep performance in one view.

Revenue Attribution

Accurate
Attribution Model

Know exactly which channels, campaigns, and touchpoints drive closed revenue — stop guessing what's working.

Ops Bottleneck Detection

Real-time
Ops Visibility

Process timing analysis across fulfilment, support, and production to surface where time and money are being lost.

Forecasting & Planning

+-8%
Forecast Accuracy

Sales forecast models based on pipeline data, historical patterns, and seasonality — credible numbers for planning.

Real-World Use Cases

B2B Sales

Sales director unable to identify why Q3 revenue missed target — no visibility into pipeline health mid-quarter.

Sales analytics dashboard with weekly pipeline snapshots, deal velocity tracking, and stage conversion rates.

Mid-quarter course corrections became possible. Q4 target hit for the first time in 3 years.
Logistics

Operations team not knowing which routes, drivers, or time slots caused 90% of SLA breaches.

Operational analytics segmenting delivery SLA performance by route, driver, and time window.

Identified 3 problematic routes causing 67% of breaches. Improvements implemented within 2 weeks.
Retail Chain

Marketing spending equally across all channels with no idea which drove actual purchases.

Revenue attribution model linking offline purchase data to digital campaign touchpoints.

Reallocated 40% of budget to top-performing channels. Revenue increased 22% with same spend.

Our Process

01

Define KQs

We identify the key questions leadership needs answered — not just metrics to display.

02

Source Data

Data from CRM, ERP, marketing, and ops systems unified into a clean analytics warehouse.

03

Model

Analytics models built to calculate attribution, velocity, and forecasts correctly.

04

Activate

Dashboards and automated reports deployed with training for each team.

Technologies We Use

dbtBigQueryMetabasePythonLooker StudioPostgreSQLAirflow

Ready to Get Started?

Let's build your sales & operational analytics solution together.

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