Logiciel helps enterprises implement metadata and data catalog systems that make data easier to discover, govern and use. From metadata management and lineage to catalog implementation, cloud data migration support, access controls, compliance workflows and managed operations, we build data catalog foundations that support analytics, automation, AI and cloud transformation.

Book an Intro Call Common Questions

5 steps

Metadata and data catalog implementation framework

3 models

Engagement models for catalog delivery

Why Logiciel

Why Metadata and Data Catalogs Matter During Cloud Migration.

Why Logiciel · 01

Data assets are spread across warehouses, lakes, SaaS platforms and legacy systems.

Why Logiciel · 02

Teams do not know which datasets are trusted, outdated or duplicated.

Why Logiciel · 03

Cloud migration projects expose gaps in ownership, lineage and documentation.

Why Logiciel · 04

Cloud data migration becomes risky when metadata is incomplete.

Why Logiciel · 05

Data consumers lack business definitions, usage context and quality signals.

Why Logiciel · 06

Compliance teams need clear evidence of access, lineage and data handling.

Why Logiciel · 07

AI and analytics teams need searchable, governed and well-documented data foundations.

What you get

What You Get When You Work With Logiciel on Metadata & Data Catalog Implementation.

We build metadata and catalog foundations that improve discovery, governance and cloud readiness.

A clear metadata and data catalog roadmap tied

to business and technology priorities

Data catalog implementation

across warehouses, lakehouses, SaaS systems, BI tools and cloud platforms

Metadata models

that capture ownership, definitions, classifications, lineage and quality signals

Cloud migration roadmap support

for cataloging, mapping and governing data assets before migration

Cloud data migration strategy

aligned with governance, access control and data lifecycle needs

Searchable data inventory

for analytics, compliance, automation and AI use cases

A practical metadata operating model your teams can maintain after launch

What we build

Metadata & Data Catalog Implementation Solutions Built for Enterprise Workloads.

Metadata Strategy and Roadmap

Current-state assessment, metadata standards, catalog scope, ownership design and phased implementation planning.

Data Catalog Platform Implementation

Implementation and configuration of data catalog platforms for discovery, classification, documentation, lineage and stewardship.

Cloud Migration Metadata Mapping

Metadata mapping for cloud migration, cloud to cloud migration, cloud data migration and legacy-to-cloud modernization programs.

Data Lineage and Impact Analysis

Visibility into how data moves across systems, pipelines, warehouses, dashboards, applications and AI workflows.

Business Glossary and Data Definitions

Shared business terms, metric definitions, domain ownership, certification workflows and trusted data asset documentation.

Access, Compliance and Governance Workflows

Role-based access, classification, audit trails, retention rules, approval workflows and compliance-aligned metadata controls.

Managed Catalog Operations

Ongoing catalog administration, metadata quality reviews, stewardship support, usage tracking and continuous improvement.

Engagement

Engagement Models Designed for Metadata & Data Catalog Implementation Delivery.

Dedicated Metadata Engineering Squad

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

Engagement

Metadata Advisory and Staff Augmentation

Senior metadata, governance and cloud migration consultants who strengthen your internal data, platform, compliance or engineering teams.

Engagement

Outcome-Based Catalog Implementation

Fixed-scope engagements with defined catalog outcomes, cloud migration support, governance milestones and success baselines agreed up front.

Engagement

Under the hood

Metadata & Data Catalog Implementation Services We Deliver.

Metadata and Catalog Diagnostic Roadmap

What it meansDetailed assessment of data platforms, metadata gaps, lineage needs, cloud migration plan, ownership models and governance maturity.

Data Catalog Platform Setup and Configuration

What it meansCatalog tool setup, connector configuration, metadata ingestion, classification rules, business glossary and stewardship workflows.

Cloud Migration and Data Asset Inventory

What it meansInventory of datasets, pipelines, reports, applications and metadata needed for cloud migration services and cloud data migration planning.

Lineage, Dependency and Impact Mapping

What it meansMapping of data flows across source systems, ETL, ELT, warehouses, lakehouses, BI tools, APIs, products and AI workflows.

Business Glossary and Certified Data Assets

What it meansDomain terms, metric definitions, trusted datasets, owner assignment, approval workflows and data certification processes.

Governance, Compliance and Access Workflows

What it meansAccess controls, audit trails, classification policies, retention metadata, lifecycle management and compliance reporting.

Managed Metadata and Catalog Operations

What it meansOngoing metadata updates, stewardship support, usage reporting, catalog quality reviews, platform administration and continuous improvement.

Insights

Metadata & Data Catalog Implementation Insights & Frameworks.

Patterns from our data governance and cloud engineering teams that help enterprises improve discovery, trust and migration readiness.

Enterprise Metadata Operating Model

How we structure ownership, stewardship, glossary management, catalog quality, lineage reviews and continuous improvement across teams.

↳ Insights

Cloud Migration Metadata Readiness Framework

A practical approach to ranking data assets by migration priority, ownership clarity, lineage completeness, compliance risk and business dependency.

↳ Insights

How we work

Our Metadata & Data Catalog Implementation Framework.

Metadata Diagnostic and Baseline

We assess data platforms, cloud migration plans, metadata quality, lineage gaps, governance controls, business definitions and stakeholder needs.

Data Asset and Dependency Mapping

We identify critical datasets, reports, pipelines, owners, consumers, access rules, lifecycle stages and cloud migration dependencies.

Catalog Platform and Metadata Engineering

We implement catalog tooling, connectors, metadata ingestion, classifications, glossary workflows, lineage and governance foundations.

Governance, Compliance and Cloud Migration Alignment

We harden the catalog with access controls, audit trails, retention metadata, migration mapping, approval workflows and compliance reporting.

Metadata Operating Model

We hand over a repeatable catalog practice, including ownership, KPIs, stewardship cadences, quality reviews, runbooks and improvement workflows.

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

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

Framework · PDF

80% Of Governance Programmes Fail By 2027. The Catalog Decides That, Not The Format.

Whitepaper · PDF

Building AI-Ready Healthcare Data Infrastructure: The 90-Day Roadmap from Staging Bottleneck to Production

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 Metadata & Data Catalog Implementation include?

Metadata & Data Catalog Implementation includes metadata strategy, catalog platform setup, metadata ingestion, lineage mapping, business glossary design, data classification, access workflows, compliance controls and managed catalog operations.

Why do data catalogs matter for cloud migration?

Data catalogs help cloud migration teams understand what data exists, where it lives, who owns it, how it moves and which systems depend on it. This reduces migration risk and improves planning.

How does metadata support a cloud migration roadmap?

Metadata supports a cloud migration roadmap by mapping data assets, dependencies, lineage, access needs, compliance exposure and ownership before migration work begins.

Can Logiciel support cloud data migration strategy?

Yes. Logiciel supports cloud data migration strategy by creating data asset inventories, lineage maps, migration priorities, access requirements, governance controls and data validation workflows.

Do you support cloud to cloud migration?

Yes. We support cloud to cloud migration by mapping datasets, pipelines, metadata, permissions, dependencies and validation needs across source and target cloud environments.

How long does Metadata & Data Catalog Implementation typically take?

Most engagements produce a diagnostic, roadmap and initial catalog foundation within 4-8 weeks, while larger enterprise catalog programs run across phased implementation waves.

Who owns the deliverables from a Metadata & Data Catalog Implementation engagement?

You retain ownership of all catalog configurations, metadata models, glossary terms, lineage maps, access workflows, migration inventories, dashboards, documentation and runbooks.

Do you support ongoing metadata and catalog operations after launch?

Yes. We run managed operations with catalog administration, metadata quality reviews, stewardship support, lineage updates, compliance reporting, usage tracking and continuous improvement.

Let's build

Accelerate Metadata & Data Catalog Implementation.

Ready to turn Metadata & Data Catalog Implementation into a trusted foundation for governance, analytics, AI and cloud migration? Partner with Logiciel to make enterprise data searchable, governed and ready for modern cloud platforms.

Start a data catalog assessment

Metadata & Data Catalog Implementation.

See Logiciel in action.

Why Metadata and Data Catalogs Matter During Cloud Migration.

Data assets are spread across warehouses, lakes, SaaS platforms and legacy systems.

Teams do not know which datasets are trusted, outdated or duplicated.

Cloud migration projects expose gaps in ownership, lineage and documentation.

Cloud data migration becomes risky when metadata is incomplete.

Data consumers lack business definitions, usage context and quality signals.

Compliance teams need clear evidence of access, lineage and data handling.

AI and analytics teams need searchable, governed and well-documented data foundations.

What You Get When You Work With Logiciel on Metadata & Data Catalog Implementation.

A clear metadata and data catalog roadmap tied

Data catalog implementation

Metadata models

Cloud migration roadmap support

Cloud data migration strategy

Searchable data inventory

A practical metadata operating model your teams can maintain after launch

Metadata & Data Catalog Implementation Solutions Built for Enterprise Workloads.

Metadata Strategy and Roadmap

Data Catalog Platform Implementation

Cloud Migration Metadata Mapping

Data Lineage and Impact Analysis

Business Glossary and Data Definitions

Access, Compliance and Governance Workflows

Managed Catalog Operations

Engagement Models Designed for Metadata & Data Catalog Implementation Delivery.

Dedicated Metadata Engineering Squad

Metadata Advisory and Staff Augmentation

Outcome-Based Catalog Implementation

Metadata & Data Catalog Implementation Services We Deliver.

Metadata and Catalog Diagnostic Roadmap

Data Catalog Platform Setup and Configuration

Cloud Migration and Data Asset Inventory

Lineage, Dependency and Impact Mapping

Business Glossary and Certified Data Assets

Governance, Compliance and Access Workflows

Managed Metadata and Catalog Operations

Metadata & Data Catalog Implementation Insights & Frameworks.

Enterprise Metadata Operating Model

Cloud Migration Metadata Readiness Framework

Our Metadata & Data Catalog Implementation Framework.

Metadata Diagnostic and Baseline

Data Asset and Dependency Mapping

Catalog Platform and Metadata Engineering

Governance, Compliance and Cloud Migration Alignment

Metadata 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.

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

80% Of Governance Programmes Fail By 2027. The Catalog Decides That, Not The Format.

Building AI-Ready Healthcare Data Infrastructure: The 90-Day Roadmap from Staging Bottleneck to Production

What our clients say.

Frequently asked questions.

Accelerate Metadata & Data Catalog Implementation.