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Leveraging Sales Data, Market Trends, and External Factors

EasyChair Preprint no. 13397

17 pagesDate: May 21, 2024


Effective business strategy requires a deep understanding of the factors driving performance. This paper explores how organizations can leverage sales data, market trends, and external environmental factors to gain strategic insights and improve decision-making.


The analysis begins by examining how detailed sales data can reveal patterns, trends, and anomalies that provide visibility into customer behavior, market demand, and the impact of marketing initiatives. Techniques such as regression analysis, time series forecasting, and segmentation are discussed as means of extracting meaningful intelligence from sales records.


The paper then considers how monitoring broader market trends - including competitive activity, regulatory changes, economic indicators, and technological developments - can help organizations anticipate opportunities and risks. Methods for continuously scanning the external environment and integrating these insights into strategic planning are presented.


Finally, the abstract discusses strategies for synthesizing sales data and market intelligence to develop a comprehensive understanding of the factors driving business performance. This holistic approach enables organizations to make more informed decisions around product development, pricing, channel strategy, and other critical areas.

Keyphrases: competitive dynamics, Data-driven strategy, Demand Forecasting, Environmental Scanning, Market Intelligence, Sales data analysis

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Godwin Olaoye},
  title = {Leveraging Sales Data, Market Trends, and External Factors},
  howpublished = {EasyChair Preprint no. 13397},

  year = {EasyChair, 2024}}
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