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Use Of Big Data In Sales Management

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  • George STANESCU
  • AniÅŸoara DUICÄ‚
  • Patrizia Pamela PODHORA
  • Sorina Geanina STANESCU

Abstract

Managers are constantly looking for tools that adapt organizational data into information to support their strategic decisions to improve the organization in terms of performance and profit. In Business-to-Business, the most valuable data of Big Data is always at hand: sales transactions from an ERP system and sales activities from CRM software. The article explores how Big Data influences sales and management strategies, it shows how it can segment customers using the clustering method, how sales history is used to forecast sales, and, using an a priori ordering algorithm, develop a strategy for modeling buying behavior. By using machine learning algorithms and artificial intelligence, companies can identify hidden patterns and trends in their sales data. This allows for better market knowledge, strategic pricing, and the creation of more effective marketing campaigns. Big Data is not only a tool for the sales department, it is also essential in the decision-making process at the managerial level. Data analysis can provide important insights into operational performance and help optimize processes, increase sales and profitability, and anticipate and adapt to changes and market behavior. By implementing Business Intelligence systems and advanced analytics tools, managers can make more informed and faster decisions. Companies that manage to collect, analyze, and use data effectively have a competitive advantage and can achieve significant results in operational performance.

Suggested Citation

  • George STANESCU & AniÅŸoara DUICÄ‚ & Patrizia Pamela PODHORA & Sorina Geanina STANESCU, 2024. "Use Of Big Data In Sales Management," Annales Universitatis Apulensis Series Oeconomica, Faculty of Sciences, "1 Decembrie 1918" University, Alba Iulia, vol. 1(26), pages 1-9.
    • Handle: RePEc:alu:journl:v:1:y:2024:i:26:p:9
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    References listed on IDEAS

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