Preparing Employee Data for LMS Implementation in Morocco

Two weeks before launch, the implementation team asks HR for “the employee file”. The payroll export arrives the same afternoon: 1,180 rows, 26 people listed twice, the Tangier plant spelled four different ways, managers recorded by name rather than number, and an empty language column. None of this is unusual. All of it will surface in the LMS software as missing courses, misrouted reminders, and reports nobody trusts.

Moroccan companies face a particular version of this problem. HR data is often kept in French while many employees read Arabic first, names appear in Latin script, Arabic script or both, and groups with sites in Casablanca, Tangier, Kenitra or Agadir have grown through new plants, contact centers and acquisitions, each with habits that follow the data into the LMS software.

This article explains how HR and IT teams can prepare employee data before implementing LMS software, in five areas: identifiers, organizational units, language fields, the manager field, and duplicate records. It is a cleanup guide, not a selection guide, and assumes you have chosen the platform or are about to.

Why Data Preparation Shapes Your LMS Software Launch

Assignment rules, reminders, manager views, and reports in LMS software all run on employee data. If the data is wrong, the LMS software behaves wrongly, and employees blame the platform. Preparing the data before the first import costs far less than correcting it once people depend on it.

It helps to name what you are checking. The UK government’s Data Quality Framework describes several data quality dimensions, among them completeness (the degree to which records are present), uniqueness (no duplication in records), consistency (values do not contradict other values for the same entity) and validity (data in the expected range and format). For a learning management system, these four cover most of what goes wrong. Profile the extract against each one: count blank fields, duplicate keys, conflicting values, and entries outside the agreed format.

Then fix problems in the source system rather than in the import file, so that the next export to the LMS software does not bring the same errors back. If you have not yet agreed which system that is, see our guide to choosing an authoritative source for employee data.

Identifiers: One Stable Key for Each Person

Every record in the LMS software needs one identifier that never changes and is never reused. In most Moroccan companies, the natural choice is the employee number, the matricule, from HR or payroll. Check that it exists for everyone who will use the LMS software, that it is stored as text so leading zeros survive, and that it stays the same when an employee changes site, entity, or contract type.

Avoid the national identity card (CIN) number or the CNSS social security number as the LMS software key. Both are more sensitive than training needs, and an employee number does the job. Plan also for people without a matricule: interns, agency staff, and contractors who still need safety or induction training in the LMS software. Give them identifiers from a separate, clearly prefixed range so they can never collide with employee numbers.

Finally, decide what happens on rehire. If a former employee returns under a new matricule, the LMS software will treat them as a new person and split their history. Agree with HR that a returning employee keeps the original number, or that the two numbers are linked before import.

Organizational Units: Codes, Hierarchy and Labels

Many Moroccan organizations describe their structure in French, in layers such as direction, département and service, while sites are tracked separately. Before import, produce one clean list of organizational units with a code for each, its parent unit and its site where relevant. Assignment rules and reports in the LMS software should rely on these codes, not on names typed into a payroll field.

Then compare the list with what is actually in employee records. Typical findings include:

• The same unit written several ways, such as “Service Qualité”, “Qualite” and “QUALITE TANGER”.

• Units that closed or merged but still hold employees.

• Site names mixed into unit names, so one field does two jobs.

• Employees attached to a parent unit because nobody chose the right service.

Decide which labels people will see in the LMS software. If managers read reports in Arabic and HR works in French, keep a label in each language against the same code, rather than renaming units halfway through the project.

Language Fields: Interface, Content and Name Script

Language is where preparing data for LMS software in Morocco differs most from a single-language setting. Treat it as three fields, not one:

• Interface language: the language the LMS software uses for menus and notifications for this employee.

• Content language: which version of a course to assign when it exists in Arabic, French, or English.

• Name script: whether the employee’s name appears in Latin script, Arabic script, or both on screens, reports, and certificates.

Never infer language from a name, a nationality or a site. Take it from HR records or ask employees directly. Store it in a standard form:

BCP 47 (RFC 5646), the IETF’s best current practice on language tags, describes tags for indicating the language used in an information object, and short standard codes such as ‘ar’, ‘fr’ and ‘en’ avoid a column that mixes “Arabe”, “AR” and “العربية”. Agree on a default for employees who have not answered, and decide whether a later change an employee makes in the LMS software should be written back to HR.

Check accented characters too. French names and labels with é, è or ç, and names in Arabic script must survive the export and import intact, so test a handful before loading everyone. For how language requirements shape the platform choice itself, see our guide to choosing an Arabic LMS for multilingual Moroccan companies.

The Manager Field: The N+1 by Number, Not by Name

In many Moroccan teams, the direct manager is simply the N+1. In LMS software, that relationship drives reminders, approvals, and team views, so it deserves its own cleanup step:

• Record the manager’s employee number, not a name. Two managers can share a name; a number cannot.

• Check that every manager number points to an active employee. Managers who have left are a common reason for reminders sent to nobody.

• Decide who the LMS software should treat as manager when a post is vacant: an interim manager, the next level up, or HR.

• Look for loops, where two people are recorded as each other’s manager, and for employees with no manager at all.

• If your organization uses dual reporting lines, choose which one training follow-up should use.

Deduplication: Finding the Same Person Twice

Duplicates appear for predictable reasons: a rehire under a new matricule, an intern who became an employee, a transfer between two companies of the same group, or a manual list merged with the payroll export. Each duplicate in the LMS software means split history, double reminders, and inflated headcounts.

Search in two passes. First, look for repeated employee numbers, which should never exist. Then look for likely matches on name variants combined with hire date and site: “Mohamed”, “Mohammed” and “Mohamad”, or “Aït” and “Ait”, may be one person or three. Resolve doubtful pairs with HR rather than by an automatic rule, and record which number survives so that history from the retired record can be attached to it before import into the LMS software.

Keep a short merge log: the retired number, the surviving number, the reason, and who confirmed it. If historical training records are later migrated into the LMS software, the implementation team will need it to attach old completions to the right person.

A Hypothetical Example: An Automotive Supplier Prepares Its File

The following example is hypothetical and is included only to show the preparation steps.

An automotive components supplier with a head office in Casablanca and plants in Tangier and Kenitra is preparing to implement LMS software for about 1,400 employees. HR runs the profiling checks on a payroll extract before sending anything to the implementation team.

The checks find 31 likely duplicates, mostly interns later hired under new numbers; 18 unit names that differ only in spelling or accents; 64 employees whose recorded manager has left; and no language field at all. HR fixes units and managers in the payroll system, merges duplicates after confirming each one with site HR officers, and adds interface and content language fields filled from a short form completed by employees.

A trial import of 50 records, covering each plant and each employee type, passes on the second attempt. Only then is the full file loaded into the LMS software.

Summary

LMS software in a Moroccan company is only as reliable as the employee data it receives on day one. Give every person one stable identifier, turn organizational units into codes with labels in the languages people read, separate interface, content and name-script fields, record managers by number and remove duplicates before they reach the platform.

Fix each problem in the source system, test a small import into the LMS software, and only then load everyone. For what each cleaned field should map to, see our guide to building a field map between HR and the LMS.

Click here. If you are preparing employee data for an LMS software implementation, you can talk through your requirements with the SkillUp MENA team.