Service
Data analytics
Source quality, data platform and shared metrics: from CRM, web and campaigns to warehouse, semantic layer and reporting where leadership and operations decide together.
Shared metrics, not misaligned reports.
THE PERIMETER
Metrics, funnels and measurement models
Quality, normalisation and enrichment
CRM intelligence and segmentation
Data platform: warehouse and semantic layer
Executive reporting and continuous optimisation
Metric governance
Source integration and data layer
Attribution and experimentation
Deep dives
Dedicated pages on parts of the perimeter: same method, more detail.
- CRM intelligenceCRM data you can act on for sales and marketing: contact quality, segmentation, scoring and insight wired to…Open deep dive
- Data enrichmentCleansing, normalisation and enrichment of data from CRM, web and campaigns.Open deep dive
- Data platformETL/ELT pipelines, data warehouse, denormalised model and semantic layer: a Single Source of Truth between…Open deep dive
- Executive reportingShared dashboards and reports for leadership, marketing and operations: aligned metrics, periodic review and…Open deep dive
Why choose Syncronika
INTEGRATORS BY TRADE
15+ years on middleware, data and real-world stacks. We work alongside IT, marketing and leadership, not as an external agency.EXECUTABLE PATH
Roadmaps, PoCs and delivery in one team. No consulting disconnected from implementation: every decision stays tied to risk, cost and KPIs.SHARED GOVERNANCE
KPIs, ownership and traceability across integrations, data and channels. Decisions stay yours, we make them operational and measurable.EVOLVING LEGACY
We connect SaaS, ERP and digital presence without rebuilding from scratch. Legacy stays, integrates and grows with you.
We are digital partnersto ambitious, winning brands
We are digital partners for companies that want to grow in a structured way.
We work across Italy
Especially in
FAQ
What we’re often asked
FAQ
Which data sources do you start from?
CRM, web analytics, paid and organic campaigns, e-commerce, ERP and vertical tools. We normalise and enrich sources before measurement models, warehouse and dashboards.
What do you mean by enrichment?
Cleansing, deduplication, record enrichment, segmentation and scoring to make data usable in marketing automation, sales and reporting.
What does the data platform include?
ETL/ELT pipelines, warehouse or data mart, versioned transformations (dbt or equivalent) and a semantic layer: so "revenue" and other critical metrics stay the same for marketing, finance and leadership.
How do you align marketing and leadership on KPIs?
We define shared measurement models, funnels and attribution, then dashboards and review cycles. Same numbers for C-level, marketing and IT, with clear owners on definitions.
Data analytics and integrations together?
Yes. Without reliable data flows, metrics lie. We design pipelines and integrations alongside measurement models and visualisation tools.








































