No open-access location is known for this record yet.
No open-access location is known for this record yet.
This study aims to explore the relationship between data science or what is known as big data and the information specialists who deal with this data and their role in analyzing it to support the decision-making process. It also seeks to introduce modern trends in big data and the skills necessary to benefit from it professionally. This study is a qualitative study based on a systematic review of previous literature. Previous studies were reviewed to identify visible and hidden opportunities due to the foresight future models to use big data in favor of planning for future. The study adopted the descriptive approach in terms of production analysis. Explain the role of data science “big data” in strategic planning and decision-making at professional institutions and companies. The study results indicate the essential and conflicting part of big data in guiding the decisions of large companies and institutions and its positive role in developing products and increasing the efficiency and profits of these companies. In order to make the most of this data, it is necessary to seek the assistance of qualified data experts in different fields who can formulate this data in a way that helps to make logical and accurate decisions and develop strategic plans. The importance of big data in the process of strategic planning and decision-making. Correspondingly, propose the practical foresight approaches to using big data to produce significant strategic planning.
Loading…
Stored only when both papers are in the corpus — 43 citations exist upstream.
Papers that cite the same references — the relational fallback while embeddings are still backfilling.
Imported from OpenAlex (CC0) — nothing here is generated.