Logiciel builds data unification platforms for mid-market companies. CRM, ERP, finance, product, marketing and operational data unified into one platform that supports analytics, AI and reporting. We bring the data engineers, the platform and the operating layer. You bring the business questions and the data.

Book an Intro Call Common Questions

5 steps

Framework from discovery to operate and improve

3 models

Engagement models for mid-market unification

6 systems

CRM, ERP, finance, product, marketing, operations

Why Logiciel

Why Mid-Market Data Lives in Too Many Systems.

Why Logiciel · 01

Salesforce, HubSpot or another CRM owns customer data.

Why Logiciel · 02

NetSuite, Sage or another ERP owns finance and operations data.

Why Logiciel · 03

Marketing tools own campaign and channel data.

Why Logiciel · 04

Product analytics tools own user behaviour data.

Why Logiciel · 05

Spreadsheets fill the gaps between every system.

Why Logiciel · 06

Reports take days to build because the data is in five places.

What you get

What You Get When You Work With Logiciel on Mid-Market Data Unification.

A unified data model for customers, accounts, orders, transactions and products.

Pipelines from CRM, ERP, finance, marketing, product and operational systems.

A lakehouse architecture that supports analytics, reporting and AI on the same foundation.

Master data and identity resolution across customer-facing and operational systems.

A platform that finance, sales, marketing, product and operations all use.

A managed operating model with monitoring, on-call and continuous improvement.

What you get

Mid-Market Data Unification Solutions Built for Outcomes.

Customer 360 and Identity Resolution

What it meansIdentity resolution across CRM, billing, marketing, product and support systems for a real customer 360.

CRM and ERP Integration

What it meansPipelines from Salesforce, HubSpot, NetSuite, Sage, Microsoft Dynamics, QuickBooks and similar platforms.

Marketing and Product Data Integration

What it meansPipelines from marketing automation, ads platforms, attribution tools and product analytics platforms.

Finance and Operational Data Integration

What it meansPipelines from accounting, billing, subscription, supply chain and operational systems.

Mid-Market Lakehouse Architecture

What it meansA lakehouse on Snowflake, Databricks, BigQuery, Redshift or open table formats, sized for a mid-market business.

Master Data Management

What it meansMaster data for customers, products, accounts and territories, with stewardship workflows.

Reporting, Analytics and AI Foundation

What it meansA foundation that supports finance reporting, operational dashboards and AI use cases on the same governed data.

Engagement

Engagement Models Designed for Data Unification Platform Services for Mid-Market Delivery.

Dedicated Data Unification Squad

A long-running team of data engineers, analytics engineers and platform engineers embedded in your data or product team.

Engagement

Data Unification Advisory and Staff Augmentation

Senior data architects and engineers who reinforce your in-house team during specific build phases.

Engagement

Outcome-Based Unification Engagements

Fixed-scope engagements, for example a customer 360 build, an ERP-CRM integration or a finance reporting platform.

Engagement

Under the hood

Mid-Market Data Unification Services We Deliver.

Mid-Market Data Strategy and Architecture

Reference architectures, maturity assessments and multi-year roadmaps sized for a mid-market business.

Included

Customer 360 and Identity Resolution

Identity resolution across CRM, billing, marketing, product and support systems for a customer 360.

Included

CRM and ERP Data Integration

Pipelines from Salesforce, HubSpot, NetSuite, Sage, Microsoft Dynamics, QuickBooks and similar platforms.

Included

Marketing and Product Data Integration

Pipelines from marketing automation, ads platforms, attribution tools and product analytics.

Included

Finance and Operational Data Integration

Pipelines from accounting, billing, subscription, supply chain and operational systems.

Included

Mid-Market Lakehouse Implementation

Lakehouse implementation on Snowflake, Databricks, BigQuery, Redshift or open table formats.

Included

Master Data Management for Mid-Market

Master data for customers, products, accounts and territories with stewardship workflows.

Included

Reporting and Analytics Foundation

A reporting and analytics foundation supporting finance, sales, marketing, product and operations.

Included

Technology

Data Unification Platform Services for Mid-Market Insights & Frameworks.

Patterns from our delivery teams that have run through real mid-market deployments.

↳ Technology

Mid-Market Lakehouse Reference Architecture

A reference lakehouse sized for mid-market businesses, supporting analytics, reporting and AI.

↳ Technology

Mid-Market Identity Resolution Pattern

A practical pattern for identity resolution across CRM, billing, marketing, product and support systems.

↳ Technology

Technology

Our Data Unification Platform Services for Mid-Market Framework.

Discovery and Data Mapping

We map source systems, data flows, identifiers and use cases.

Architecture and Roadmap

We design the lakehouse, data model and identity resolution approach, with a phased roadmap.

Platform Build

We build the platform in code, including pipelines, identity resolution and reporting layers.

Use Case Onboarding

We onboard the first reports, dashboards and AI use cases with SLAs and data contracts.

Operate and Improve

We move into a steady-state operating model with on-call and continuous improvement.

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.

Whitepaper · PDF

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

Whitepaper · PDF

Building AI-Ready Data Foundations in Healthcare

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 Data Unification Platform Services for Mid-Market include?

We cover strategy, architecture, build, deployment and operations for Data Unification Platform Services for Mid-Market, aligned with your business priorities and operating constraints.

How long does Data Unification Platform Services for Mid-Market typically take?

Most engagements reach a working pilot within 4-8 weeks, while larger rollouts run across phased waves over several months.

Can Logiciel integrate Data Unification Platform Services for Mid-Market with our existing systems?

Yes. We integrate with cloud platforms, CRMs, ERPs, EHR, OT systems, analytics tools and other operational infrastructure depending on the use case.

Do you offer fixed-cost engagements for Data Unification Platform Services for Mid-Market?

Yes. We offer milestone-based pricing once scope, KPIs and delivery requirements are agreed.

Who owns the deliverables from a Data Unification Platform Services for Mid-Market engagement?

You retain ownership of all workflows, integrations, prompts, infrastructure, systems and implementation assets.

How do you handle governance and compliance for Data Unification Platform Services for Mid-Market?

We implement governance frameworks, observability, access controls, audit trails and compliance-aligned deployment practices.

How do you optimize cost for Data Unification Platform Services for Mid-Market?

We tune infrastructure, automate resource management, optimise deployment workflows and report operational cost back to teams and product lines.

Do you support ongoing operations after launch for Data Unification Platform Services for Mid-Market?

Yes. We run managed operations with SRE, observability, on-call and continuous improvement.

Let's build

Accelerate Data Unification Platform Services for Mid-Market.

Ready to put Data Unification Platform Services for Mid-Market on production-software footing? Partner with Logiciel to design, build and operate Data Unification Platform Services for Mid-Market that engineering, security and business teams can all defend.

Start your data unification programme

Data Unification Platform Services for Mid-Market.

See Logiciel in action.

Why Mid-Market Data Lives in Too Many Systems.

Salesforce, HubSpot or another CRM owns customer data.

NetSuite, Sage or another ERP owns finance and operations data.

Marketing tools own campaign and channel data.

Product analytics tools own user behaviour data.

Spreadsheets fill the gaps between every system.

Reports take days to build because the data is in five places.

What You Get When You Work With Logiciel on Mid-Market Data Unification.

Mid-Market Data Unification Solutions Built for Outcomes.

Customer 360 and Identity Resolution

CRM and ERP Integration

Marketing and Product Data Integration

Finance and Operational Data Integration

Mid-Market Lakehouse Architecture

Master Data Management

Reporting, Analytics and AI Foundation

Engagement Models Designed for Data Unification Platform Services for Mid-Market Delivery.

Dedicated Data Unification Squad

Data Unification Advisory and Staff Augmentation

Outcome-Based Unification Engagements

Mid-Market Data Unification Services We Deliver.

Mid-Market Data Strategy and Architecture

Customer 360 and Identity Resolution

CRM and ERP Data Integration

Marketing and Product Data Integration

Finance and Operational Data Integration

Mid-Market Lakehouse Implementation

Master Data Management for Mid-Market

Reporting and Analytics Foundation

Data Unification Platform Services for Mid-Market Insights & Frameworks.

Mid-Market Lakehouse Reference Architecture

Mid-Market Identity Resolution Pattern

Our Data Unification Platform Services for Mid-Market Framework.

Discovery and Data Mapping

Architecture and Roadmap

Platform Build

Use Case Onboarding

Operate and Improve

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.

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

Building AI-Ready Data Foundations in Healthcare

What our clients say.

Frequently asked questions.

Accelerate Data Unification Platform Services for Mid-Market.