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(Solution) CIPD 7C004 Task 2.1 Differences of Primary and Secondary Data

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The use of primary data entail using the first-hand data obtained by a researcher directly. This is different from secondary data which is a form of desk research obtained from the readily existing sources (Cerar et al., 2021; Silevew, 2019).

Considering this research, primary and secondary data was referred to. The rationale of this is that primary data is appropriate as it facilitate use of survey and observations while qualitative primary data being obtained by use of focus groups, interviews and observations. The secondary data is conversely important to source the available literature and apply it to support primary data obtained through the application of interviews and questionnaires.

Additionally, considering this research, through the application of Almarai entity, primary and secondary sources which are qualitative (textual) and quantitative (statistical) were obtained. Additionally, through the application of stay interviews in Almarai, this entail a form of secondary data sourced. Therefore, application of primary and secondary data to analyse turnover scope lead to possibility of managing issues with one strategy by using the strength of the other.

The decision of using either primary or secondary data is dependent on existence and detailed nature of the data. In an event the secondary data is not available/insufficient, sourcing of primary data is identified as essential to answer the research questions. Also, data, whether primary or secondary could either be qualitative (textual) or quantitative (statistical). The quantitative primary data can be sourced by use of surveys or observations, with qualitative primary data being sourced by use of interviews, focus discussions and observations (Silevew, 2019). Taking into account of this research, data is sourced by use of data from qualitative (semi-structured interviews) and quantitative (survey by use of questionnaire) data from the primary sources by use of case study design. The data sourcing is data in a sequential manner from the interviews and later using surveys.

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 This report is concerned with exploring diverse sourcing approaches in procurement and supply management (PS&M) for implementation in the IT category in today’s business environment. The basis for this analysis is the IT procurement strategy at ROSHN, one of Saudi Arabia’s key contributors to its Vision 2030. Data, which have been gathered from ROSHN’s internal documents have been used to achieve the aim of the report and some strategic frameworks were applied such Mendelow’s Matrix, STEEPLE and Kraljic Matrix. The findings here indicate that ROSHN’s preferred approach is to multiple source the services to ensure a degree of flexibility and to balance the risks involved in what is fundamentally a competitive and fast changing market. Multiple sourcing is used to increase vendor options and pricing competitiveness, while sole or single sourcing is used in very limited case. Further it indicates that where dual sourcing is employed, the diverse solutions or vendor capabilities will be required to meet the extensive project requirements that ROSHN has for smart community development. ROSHN’s application of supplier appraisal tools in the IT category will achieve value for money, quality, and meet its strategic goals. Based on these findings, several gaps were identified that can be managed through the following recommendations:
  • Internal and external analyses should be carried out in order to pinpoint the best or most effective sourcing strategies for IT.
  • A broader sourcing appraisal strategy should be introduced within the procurement policies and practices.
  • Improve in focus in managing effective sourcing strategies based on organisational objectives.
  • Broader inclusion of stakeholders in the procurement process, in order to enhance sourcing strategy effectiveness.
  • Capacity development initiatives should be implemented in the PS&M practices, especially within IT category.