Analytics and end-to-end analytics
We connect website, advertising, CRM, and sales data so that decisions are made across the entire funnel rather than based on clicks.
Business objective
For companies with several advertising channels, a sales department, or an online store where data is distributed across different systems.
What is included
How the work is structured
- 01
Inventory
We identify data sources, gaps, duplicates, and metric owners.
- 02
Data model
We agree events, identifiers, reference data, and metric calculation rules.
- 03
Integration
We configure data collection, transfer, consolidation, and visualization.
- 04
Control
We verify data quality and establish a regular cadence of management reviews.
What we will need from you
Before launch: End-to-end analytics
01Where does end-to-end analytics begin?+
With business questions and a funnel map. Connecting tools without agreed metrics usually only multiplies the number of reports.
02Can online and offline sales be combined?+
Yes, if stable identifiers exist and statuses can be transferred from the CRM, point-of-sale, or accounting system.
03Does the dashboard update automatically?+
The frequency depends on the sources and business objective: from near real time to daily or weekly updates.
Describe the current system and desired result
We will clarify the objective, available data, constraints, and the first stage's format.