Logiciel helps enterprises design, build and operate customer data platforms that unify customer information across products, CRMs, marketing tools, support systems, billing platforms and analytics environments. From data ingestion and identity resolution to modern data contracts implementation, schema governance, data quality enforcement and managed operations, we build customer data platforms that improve visibility, personalisation and decision-making.

Book an Intro Call Common Questions

3 models

Engagement models for CDP engineering

5 steps

Our customer data platform framework

Why Logiciel

Why Customer Data Platforms Become Hard to Trust.

Why Logiciel · 01

Customer records are duplicated across CRMs, billing tools, support platforms and product databases.

Why Logiciel · 02

Teams define customer, account, tenant and user entities differently.

Why Logiciel · 03

Data producers change schemas without warning downstream consumers.

Why Logiciel · 04

Marketing, sales, product and support teams work from conflicting customer views.

Why Logiciel · 05

Data quality issues affect segmentation, reporting, automation and AI workflows.

Why Logiciel · 06

Data pipeline governance is inconsistent across ingestion and transformation layers.

Why Logiciel · 07

Leaders need customer data they can trust before scaling analytics or personalisation.

What you get

What You Get When You Work With Logiciel on Customer Data Platform Engineering.

We build customer data platforms that make customer information unified, governed and ready for business use.

A clear customer data platform roadmap tied

to business priorities

Unified customer profiles

across CRMs, SaaS products, support systems and billing platforms

Data producer-consumer agreements

that define expectations across source systems and downstream teams

Data contract engineering services

for schemas, freshness, quality rules and ownership

Schema governance and data schema validation

built into pipelines and platform workflows

Metadata-driven data management

for lineage, discovery, ownership and lifecycle control

A practical customer data operating model your teams can maintain after launch

Technology

Customer Data Platform Engineering Solutions Built for Enterprise Workloads.

Customer Data Platform Strategy and Architecture

Current-state assessment, target architecture, platform planning, data domain mapping and phased implementation sequencing.

Customer Data Integration

Secure ingestion from CRMs, marketing platforms, support tools, billing systems, product databases, data warehouses and APIs.

Identity Resolution and Unified Profiles

Customer, account, tenant and user matching logic that reduces duplication and creates consistent customer records.

Modern Data Contracts Implementation

Modern data contracts implementation for schemas, fields, freshness, quality expectations, producer ownership and consumer requirements.

Schema Governance and Data Quality Enforcement

Data schema validation, compatibility checks, quality rules, anomaly detection and automated enforcement across customer data pipelines.

Data Governance Engineering

Access controls, lineage, metadata, auditability, retention rules, data lifecycle management and compliance-aligned governance practices.

Customer Data Observability and Managed Operations

Monitoring for pipeline health, freshness, schema drift, quality failures, profile accuracy, usage and downstream impact.

Engagement

Engagement Models Designed for Customer Data Platform Engineering Delivery.

Dedicated Customer Data Platform Squad

A standing team of data engineers, platform architects, governance specialists and cloud experts embedded into your customer data roadmap.

Engagement

Customer Data Advisory and Staff Augmentation

Senior data platform engineers and data contracts consulting specialists who strengthen your internal analytics, product, marketing or data teams.

Engagement

Outcome-Based Customer Data Platform Engineering

Fixed-scope engagements with defined platform outcomes, data governance milestones and success baselines agreed up front.

Engagement

Under the hood

Customer Data Platform Engineering Services We Deliver.

Customer Data Platform Diagnostic and Roadmap

What it meansDetailed assessment of customer data sources, identity models, pipeline maturity, quality gaps, governance needs and business priorities.

Customer Data Ingestion and Integration

What it meansPipeline development across CRM, Salesforce, marketing automation, support platforms, billing systems, product events, APIs and warehouses.

Unified Customer Profile Engineering

What it meansEntity resolution, golden record design, customer lifecycle modelling, account hierarchy mapping and profile enrichment workflows.

Data Contracts Implementation Services

What it meansEnterprise data contracts solutions, reusable contract templates, producer-consumer agreements, schema rules, freshness expectations and compatibility checks.

Data Quality and Schema Validation Engineering

What it meansData quality enforcement, data schema validation, completeness checks, duplicate detection, format controls, anomaly thresholds and business rule monitoring.

Metadata-Driven Governance and Lifecycle Management

What it meansMetadata-driven data management, lineage, ownership models, access controls, retention policies, audit trails and data lifecycle management.

Managed Customer Data Platform Operations

What it meansOngoing monitoring, incident response, contract updates, quality reviews, pipeline reliability support, governance reviews and continuous improvement.

Technology

Customer Data Platform Engineering Insights & Frameworks.

Patterns from our data engineering teams that help enterprises turn fragmented customer data into trusted business infrastructure.

Enterprise Customer Data Operating Model

How we structure ownership, schema governance, data contract management, quality enforcement, lifecycle control and continuous improvement across teams.

↳ Technology

Customer Data Contract Readiness Framework

A practical approach to ranking customer data domains by business criticality, schema volatility, quality risk, interoperability needs and downstream dependency.

↳ Technology

Technology

Our Customer Data Platform Engineering Framework.

Customer Data Diagnostic and Baseline

We assess customer data sources, entity definitions, pipelines, schemas, quality issues, governance controls and business priorities.

Entity, Contract and Data Flow Mapping

We map customer entities, producer systems, consumer workflows, schema expectations, interoperability needs and lifecycle requirements.

Platform, Pipeline and Contract Engineering

We build customer data pipelines, unified profiles, data contracts, schema validation, metadata layers and secure access foundations.

Governance, Quality and Observability

We harden the platform with data quality enforcement, schema governance, lineage, dashboards, alerts, runbooks and compliance controls.

Customer Data Operating Model

We hand over a repeatable customer data practice, including ownership, KPIs, data contract management, governance reviews and improvement cadences.

Selected work

Tailored engineering for your industry.

Zeme · Real Estate Cut development costs 50% and launched 3× faster with dedicated dev teams.

Real Estate

Cut development costs 50% and launched 3× faster with dedicated dev teams.

Leap · Construction Scaled to 7-figure ARR with AI-augmented software teams.

Construction

Scaled to 7-figure ARR with AI-augmented software teams.

KW · Real Estate 56M+ workflows automated, saving agents 30% time with AI-powered tasks.

Real Estate

56M+ workflows automated, saving agents 30% time with AI-powered tasks.

Resources

Insights for tech leaders.

Framework · PDF

80% Of Engineering Organisations Will Run A Platform Team. The Ticket Queue Survives.

Framework · PDF

Bad Data Costs $12.9m A Year. Reverse ETL Syncs It Into The CRM.

Whitepaper · PDF

40% Of Agent Projects Get Cancelled. Five Engineering Failures Explain Why

In their words

What our clients say.

Teams that needed to ship fast, and did. Here's what partnering with Logiciel felt like from the inside.

I would highly recommend them to anyone looking to scale quickly or needing support in engineering, product, or QA.

Patrick Fingles

CEO, Leap

We don't just call them Logiciel; they're part of the Zeme team. Within the first week they were contributing meaningfully to our codebase.

Elior Alayev

Founder & CEO, Zeme

The Logiciel team worked tirelessly and built everything we needed, with security and best practices across our entire platform. It allowed us to become #1 in our industry, and we couldn't have done it without them.

David Buzzelli

Co-Founder, JobProgress

Questions

Frequently asked questions.

What does Customer Data Platform Engineering include?

Customer Data Platform Engineering includes customer data strategy, ingestion, identity resolution, unified profile engineering, modern data contracts implementation, schema governance, data quality enforcement, metadata management, observability and managed operations.

Why do customer data platforms need data contracts?

Customer data platforms need data contracts because customer data changes across many source systems. Contracts define schemas, freshness, quality rules, ownership and producer-consumer agreements so downstream teams can trust the data.

What is schema governance in a customer data platform?

Schema governance defines how customer data structures are created, versioned, validated and changed. It helps prevent breaking changes from damaging reports, automations, AI workflows or customer-facing experiences.

How does data quality enforcement improve customer data?

Data quality enforcement checks for missing fields, duplicates, invalid formats, freshness delays, schema changes and business rule violations before poor data reaches analytics, automation or AI systems.

Can Logiciel support data interoperability solutions?

Yes. We design data interoperability solutions that connect CRMs, marketing tools, support systems, billing platforms, product data, APIs, warehouses and AI workflows through governed data models and integration patterns.

Do you offer fixed-cost engagements for Customer Data Platform Engineering?

Yes. We offer milestone-based pricing once scope, data sources, identity rules, governance requirements, KPIs and delivery milestones are agreed.

Who owns the deliverables from a Customer Data Platform Engineering engagement?

You retain ownership of all customer data models, pipelines, contracts, schemas, integrations, dashboards, governance assets, documentation, runbooks and implementation materials.

Do you support ongoing customer data platform operations after launch?

Yes. We run managed operations with monitoring, incident response, data contract management, schema validation, data quality reviews, pipeline reliability support and continuous improvement.

Let's build

Accelerate Customer Data Platform Engineering.

Ready to turn Customer Data Platform Engineering into a trusted foundation for customer intelligence, automation and AI? Partner with Logiciel to unify customer data, enforce data contracts and build a governed platform your teams can rely on.

Start a customer data platform assessment

Customer Data Platform Engineering.

See Logiciel in action.

Why Customer Data Platforms Become Hard to Trust.

Customer records are duplicated across CRMs, billing tools, support platforms and product databases.

Teams define customer, account, tenant and user entities differently.

Data producers change schemas without warning downstream consumers.

Marketing, sales, product and support teams work from conflicting customer views.

Data quality issues affect segmentation, reporting, automation and AI workflows.

Data pipeline governance is inconsistent across ingestion and transformation layers.

Leaders need customer data they can trust before scaling analytics or personalisation.

What You Get When You Work With Logiciel on Customer Data Platform Engineering.

A clear customer data platform roadmap tied

Unified customer profiles

Data producer-consumer agreements

Data contract engineering services

Schema governance and data schema validation

Metadata-driven data management

A practical customer data operating model your teams can maintain after launch

Customer Data Platform Engineering Solutions Built for Enterprise Workloads.

Customer Data Platform Strategy and Architecture

Customer Data Integration

Identity Resolution and Unified Profiles

Modern Data Contracts Implementation

Schema Governance and Data Quality Enforcement

Data Governance Engineering

Customer Data Observability and Managed Operations

Engagement Models Designed for Customer Data Platform Engineering Delivery.

Dedicated Customer Data Platform Squad

Customer Data Advisory and Staff Augmentation

Outcome-Based Customer Data Platform Engineering

Customer Data Platform Engineering Services We Deliver.

Customer Data Platform Diagnostic and Roadmap

Customer Data Ingestion and Integration

Unified Customer Profile Engineering

Data Contracts Implementation Services

Data Quality and Schema Validation Engineering

Metadata-Driven Governance and Lifecycle Management

Managed Customer Data Platform Operations

Customer Data Platform Engineering Insights & Frameworks.

Enterprise Customer Data Operating Model

Customer Data Contract Readiness Framework

Our Customer Data Platform Engineering Framework.

Customer Data Diagnostic and Baseline

Entity, Contract and Data Flow Mapping

Platform, Pipeline and Contract Engineering

Governance, Quality and Observability

Customer Data Operating Model

Tailored engineering for your industry.

Cut development costs 50% and launched 3× faster with dedicated dev teams.

Scaled to 7-figure ARR with AI-augmented software teams.

56M+ workflows automated, saving agents 30% time with AI-powered tasks.

Insights for tech leaders.

80% Of Engineering Organisations Will Run A Platform Team. The Ticket Queue Survives.

Bad Data Costs $12.9m A Year. Reverse ETL Syncs It Into The CRM.

40% Of Agent Projects Get Cancelled. Five Engineering Failures Explain Why

What our clients say.

Frequently asked questions.

Accelerate Customer Data Platform Engineering.