Training Data Quality - Optimising International Trade Data

$4,620

  • 4 days
  • Onsite
  • 10 people max.
Ref: CYO424
10 people max.
$4,620
In-company rate: from $7,865 for the whole team
On-site and certification exam on quote
4 days
Onsite

Don't let this gap widen

Why this program matters

  • Poor-quality data in import-export operations drives an average 15% rise in logistics costs and customs clearance delays.

  • Companies lose contracts and face customs penalties.

  • Employees without these skills see their employability reduced amid the digitalization of international trade.

  • Acting now prevents these losses and secures company performance.

Allan BUSI, Learni trainer · AI expert
Allan BUSI

Learni trainer · AI expert

73%productivity gap
×3cost of inaction
Flag of the United StatesBuilt for US teams
Payment by wire transferEnhanced confidentialityPerfect for companies with 50 to 500 employeesScheduling to fit any time zone

Trusted by — schools, companies and industrial groups

41,258 programs · 25 countries

  • Aptar
  • ArcelorMittal
  • Equans
  • EDF
  • Ubisoft
  • Microsoft
  • Atos

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Companies: Aptar, ArcelorMittal, Equans, EDF, Ubisoft, Microsoft and Atos.

Data Quality training objectives

  • Master data cleansing techniques in an international trade context
  • Develop professional skills to validate import-export data quality
  • Design control processes tailored to company needs
  • Optimise customs and Incoterms data flows using professional tools
  • Implement performance indicators to ensure data reliability
  • Strengthen data governance within international trade teams

Program

Data Quality curriculum: 4 modules over 4 days

Module 1 : Theme: Data quality applied to import-export flows (Excel, Power Query, validation rules)

Participants discover the fundamentals of data quality in international trade. They analyse real datasets related to customs operations, apply standardisation rules, and create simple dashboards. Practical exercises help identify common anomalies in Incoterms codes and product references, with collective review of deliverables.

Module 2 : Theme: Data quality and customs compliance (detection tools, audits, reporting)

This day focuses on quality control of customs data. Learners use error detection scripts on sample declarations, conduct cross-audits, and build anomaly reports. Real company cases illustrate financial risks linked to incorrect data, resulting in a personalised verification plan.

Module 3 : Theme: Data quality for Incoterms management (automation, KPIs, governance)

Professionals learn to automate consistency checks between Incoterms and logistics data. They define KPIs suited to international trade, implement validation workflows, and simulate data governance processes. Practical workshops lead to the creation of a reusable quality reference framework for the company.

Module 4 : Theme: Data quality in a certifying context (final project, best practices, certification)

The final day is dedicated to consolidating learning. Each participant completes a data quality project for import-export data, presents their deliverables, and integrates governance best practices. Personalised support prepares them for the final training assessment.

How Data Quality skills are assessed

  • Concept validation quizzes after each day
  • Practical project assessed on deliverable quality
  • Self-assessment of acquired skills at the end of the training

How the Data Quality course is taught

  • Theoretical input illustrated with real international trade cases
  • Practical exercises using anonymised company data
  • Collaborative work in small groups
  • Personalised feedback from the expert trainer

Data Quality training: access and practical arrangements

The Training Data Quality - Optimising International Trade Data program is delivered onsite or remote (blended-learning, virtual classroom, remote presence). At Learni, an industry-certified training organization, every program is built to maximize skills acquisition regardless of the chosen format.

The trainer alternates between demonstrative, interrogative and active methods (through hands-on labs and/or scenarios). This pedagogical approach guarantees concrete learning that's immediately applicable at work.

Equipment required

For the smooth delivery of the Training Data Quality - Optimising International Trade Data program, the following equipment is required:

  • Mac or PC computers, high-speed fiber internet, whiteboard or flipchart, projector or interactive touch screen (for remote sessions)
  • Training environments installed on workstations or accessible online
  • Course materials, hands-on exercises and complementary resources
  • Post-training access to materials and educational resources

For intra-company training on a site outside Learni, the client commits to providing all required teaching materials (computers, internet, etc.) for the smooth delivery of the program in line with the prerequisites in the communicated program.

* contact us for remote delivery feasibility** ratio varies depending on the program

Skills assessment methods

Assessment of skills acquired during the Training Data Quality - Optimising International Trade Data program is performed through:

  • During training: case studies, hands-on labs and professional scenarios
  • End of training: self-assessment questionnaire and skills evaluation by the trainer
  • After training: completion certificate detailing acquired skills

Program accessibility

Learni is committed to making its programs accessible. All our programs are accessible to people with disabilities. Our teams are available to adapt the pedagogical methods to your specific needs. Please contact us for any adjustment request.

Enrollment terms and lead times

Registration is possible up to 48 business hours before the start of training. All our programs are built for corporate L&D budgets and delivered onsite or remotely.

The Learni story

Founded by engineers and learning experts, Learni's mission is to make high-impact tech training accessible to teams everywhere. We work remotely with organizations across the US and Canada, in your time zone, to help teams upskill fast.

Our method

How Learni guarantees the quality of your Data Quality training

Before, during, after: we frame the brief, introduce the trainer, tailor the content and measure impact. You stay in control from kickoff to wrap-up.

Step 1

Rigorous trainer selection

Each trainer is validated on three criteria: hands-on field expertise, proven pedagogy and alignment with your industry.

  • Triple validation: technical, pedagogical, sectoral.
  • Minimum rating 4.8/5 over the last 12 sessions.
Step 2

You meet the trainer beforehand

30-minute video call between you and the selected trainer to validate the fit, adjust content and clear any final doubts.

  • Live briefing on goals and team context.
  • Veto right — we swap the trainer for free if needed.
Step 3

Content tailored to your context

No recycled slides. The syllabus is reworked from your real cases: tools, constraints, vocabulary, ongoing projects.

  • Hands-on cases drawn from your stack and projects.
  • Program co-written then validated by your team.
Step 4

Continuous quality follow-up

Live evaluations, 30/90/180-day check-ins and a consolidation plan. If the impact misses the mark, we rework it.

  • NPS, knowledge quizzes and skills self-assessment.
  • Satisfaction guarantee: fully satisfied or free rework.

A simple promise: you don't pay to discover the trainer on day one. Everything is validated upfront, by you.

A child walking to school with a backpack
Our social commitment

A school kit donated to a child for every training booked

To fight inequalities in access to education, Learni donates a complete school kit to a child in need for every training booked. You build your skills, a child heads back to school.

  • Backpack, notebooks and essential supplies
  • Distributed through our partner charities
  • Included, at no extra cost to you
Enroll and offer a kit
FAQ

Data Quality: frequently asked questions

Which tools are used in Data Quality training?+
Hands-on work runs on excel, power Query, validation rules, detection tools, audits and reporting. Those tools come from the Data Quality program itself, delivered on site over 4 days, so participants practise on the stack they will use at work.
What can participants do after Data Quality training?+
They can master data cleansing techniques in an international trade context, develop professional skills to validate import-export data quality and design control processes tailored to company needs. Those are the stated objectives of the Data Quality program at Intermediate level, checked by the end-of-session assessment.
What does the Data Quality program cover, day by day?+
Day 1: Theme: Data quality applied to import-export flows (Excel, Power Query, validation rules). Day 2: Theme: Data quality and customs compliance (detection tools, audits, reporting). Day 3: Theme: Data quality for Incoterms management (automation, KPIs, governance). Day 4: Theme: Data quality in a certifying context (final project, best practices, certification). The Data Quality program runs over 4 days, delivered on site.
How is Data Quality training assessed?+
Assessment relies on concept validation quizzes after each day, practical project assessed on deliverable quality and self-assessment of acquired skills at the end of the training. Learni issues a completion certificate together with the individual assessment report at the end of the Data Quality program, which an L&D team can file as evidence.
How much does Data Quality training cost per participant?+
Data Quality training costs $4,620 per participant. For an in-company team, the flat rate starts at $7,865 for the whole group, up to 8 people. The detailed quote, sent within one business day, adjusts the amount to the format and how far the syllabus is tailored to your team.
How long does Data Quality training take?+
4 days, available live online (US time zones) or on-site at your offices. Half-day tracks spread over several weeks are possible so the team stays operational.
Who pays for Data Quality training?+
Most US teams pay directly through their company L&D or training budget. Learni invoices in US dollars and accepts bank transfer (ACH/wire) or card, with volume pricing for teams. A purchase order is welcome.
What do participants need to know before Data Quality training?+
Basic knowledge of international trade and office tools, with regular experience using Excel files.
Is a certificate issued after Data Quality training?+
Yes. A Learni completion certificate is issued, along with the individual evaluation report. Learni is a certified training provider and prepares for third-party certifications, but does not award them itself.
Does Learni provide the equipment for Data Quality training?+
No. A computer and a stable internet connection are required for each participant. Learni provides the learning platform, the trainer and all course materials.
Your professional training, anywhere

Let's build your Data Quality learning path.

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