Data Infrastructure Consulting Services That Move Beyond Slideware.

Logiciel is a data infrastructure company; consulting is one of our delivery models, not our entire business. We can implement what we recommend - most clients hire us for that combination. Pure consulting firms produce decks; pure tool vendors hand you software and walk away. We deliberately span both because data infrastructure work succeeds when strategy, architecture, and execution are owned by the same team. About 40% of our revenue is consulting (advisory, strategy, architecture); 60% is implementation, platform, and managed operations. Customers often start with consulting (strategy, diagnostic, target architecture) and grow into implementation as the right partner becomes obvious through execution.

Named US-based principals - the same lead from strategy through implementation. No bait-and-switch where the senior partner sells the engagement and junior consultants execute. Principal architects average 15+ years in data infrastructure (formerly at Snowflake, Databricks, AWS, Google, Microsoft, top-tier SI firms); customer success leads average 10+ years in client-facing roles. Sprint ceremonies, executive QBRs, and architectural reviews all run with US-based principals during US business hours. For customers with US-citizen requirements, we maintain US-only principal pools. Continuity of leadership is a structural advantage versus large SIs where staffing changes break trust over the engagement lifecycle.

Fixed-fee for time-bound diagnostics and roadmaps; T&M or retainer for open-ended advisory; fixed-fee per workshop for targeted engagements. Diagnostic engagements run $200K-400K (8-12 weeks). Strategy engagements run $400K-1M (12-20 weeks). Workshops run $50K-150K (1-3 days delivered). Retainer advisory runs $20K-80K monthly depending on hours and seniority. Pricing is transparent and benchmarked against equivalent SI pricing at evaluation. Fixed-fee structure aligns incentives with delivery; we don't bill hours that don't translate to outcomes. Most customers prefer fixed-fee diagnostics for predictable budget defense.

Yes - co-delivered with Accenture, Deloitte, Wipro, TCS, Infosys, Slalom, West Monroe, Booz Allen, and others. Common patterns: SI owns business analysis and change management while Logiciel owns data engineering and platform; SI handles broad transformation and Logiciel runs the data infrastructure workstream as a sub-program. We sign mutual reference agreements and protocols up front to avoid 'two vendors fighting' antipatterns. About 30% of our enterprise engagements involve other delivery partners - and we have explicit playbooks for co-delivery hygiene including escalation paths, decision rights, IP sharing, and risk allocation. We don't displace SI partners; we complement their breadth with our depth in data infrastructure.

8-week diagnostic, fixed-fee at $200K-400K, that produces a costed remediation plan defensible to your CFO and board. Output includes: current-state map of your data infrastructure (often more sprawl than leaders realize), top 3-5 cost or risk gaps with quantified impact, target-state architecture with capacity and TCO models, phased migration plan with milestone-by-milestone cost, and TCO comparison across realistic vendor scenarios. About 60% of diagnostic customers continue into implementation; the other 40% take the plan in-house or to a different SI - which is fine, the diagnostic stands alone as a deliverable. Diagnostic credit applies if you proceed with implementation within 90 days.

Yes - fractional VP-Data and architecture-on-retainer arrangements. Fractional VP-Data: 20-40 hours/month with a US-based senior leader providing strategic guidance, executive presence at QBRs, and oversight on critical decisions; typically $20K-40K monthly. Architecture-on-retainer: 10-30 hours/month with a US-based principal architect providing design reviews, vendor assessment, and tactical guidance; typically $15K-30K monthly. Both arrangements work alongside in-house teams to extend leadership capacity without full-time hire. For US scale-ups in growth mode (Series B-D), the fractional model is often the right pattern before committing to a full-time data leader hire.

PropTech, FinTech, B2B SaaS, Healthcare/Life Sciences, eCommerce, and Construction Tech - references under NDA available during late-stage evaluation. We can typically provide 3-5 closely-matched references (industry, scale, regulatory profile, technology stack) before contract signing. References include both happy-path success stories and recovery scenarios (customers who came to us after failed engagements with other vendors) so you get realistic context. For US Federal customers, separate cleared-engagement references at appropriate clearance levels. For Fortune 500 customers, references at equivalent scale; for high-growth scale-ups, references at appropriate stage and growth pattern.