{"id":22262,"date":"2023-03-15T17:45:17","date_gmt":"2023-03-15T16:45:17","guid":{"rendered":"https:\/\/omtpme.ma\/?page_id=22262"},"modified":"2024-06-27T16:32:42","modified_gmt":"2024-06-27T14:32:42","slug":"notre-demarche-methodologique","status":"publish","type":"page","link":"https:\/\/omtpme.ma\/en\/notre-demarche-methodologique\/","title":{"rendered":"Our methodological approach"},"content":{"rendered":"
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Our methodological approach<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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The Observatory has established a methodological approach to combine the databases it receives from its various partners into a single, high-quality database with reasonable error margins.<\/p>

This methodological approach is based on:<\/p>

1. Data collection, processing and storage<\/h6>

From the reception of data through the development of indicators, the creation of the consolidated database follows a step-by-step iterative process.<\/p>

This process begins with data scoping and requirements specification, performed in partnership with each data provider, to comprehend the data and specify the populations being investigated, as well as ensure a minimum level of database consistency.<\/p>

When databases are received, qualitative studies are undertaken to assess the data's quality and potential (filling rate of identifiers and other fields, duplicate rate, etc.). These studies also enable the definition of the pre-processing to be performed on these databases (treatment of duplicates, creation of new fields and normalization of fields).<\/p>

On the basis of an evaluation of the completion rates of each of the available identifiers (Common Business Identifier ICE, Tax Identifier, RC\/Court Code, and CNSS No.), a cross-referencing process employing these identifiers is used to ensure that the merging of the databases is performed optimally and reliably, without information loss or the presence of duplicates. Other treatments, such as the application of management rules and data enrichment, complete it.<\/p>

In the aftermath of this process, centralized databases are created, adhering to the principles governing the constitution of databases and the production of indicators, namely the uniqueness of a company's representation in these databases, its active nature, and its description with the highest quality information possible.<\/p>

2. Analysis and dissemination:<\/h6>

A quality analysis is performed to determine the calculation perimeters once the Consolidated Base has been built and is ready to be used in the calculation of indicators. To that end, a repository is created, defining in detail the indicators, their calculation methods, their interpretation as well as their scope of study.<\/p>

Once the indicators have been produced, they are framed by macroeconomic variables and compared with national and international trends. As part of the process of enriching and updating the list of indicators to be produced, the Observatory routinely monitors national and international studies and publications.<\/p>

3. Data reliability strategy<\/h6>

The Observatory uses a five-tier strategy to ensure the accuracy of its data. It relies on multi-year data qualification processes revolving around the identification and reliability of the population of companies. This allows to use of the most qualified information available in each database, to complete missing information as much as possible as well as eliminating biases in the calculations related to the presence of duplicates.\"\"<\/p><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t

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At the level of data collection and processing, the Observatory has identified and dealt with several technical difficulties related to<\/p>