This information analysis can be used for marketing, competitive intelligence, and new product development, enhancing the decision-making capabilities of global businesses.
IT System: Key components include computer hardware and software, telecommunications, databases, and data warehouses, which together form the backbone of information technology (IT) systems within organizations.
Database: Databases are crucial as they store interrelated data that can be retrieved to meet specific criteria, supporting both operational and management functions. Data warehouses, on the other hand, archive data collected over time, which can be mined to develop new products, improve customer service, or expand market reach.
Big data: The concept of "big data" is integral to global business intelligence. It involves the massive collection and processing of both structured and unstructured data, such as textual data from the web. This data can be used for various purposes, including evidence-based decision-making, resource optimization, and personalized product recommendations.
Crowdsourcing : Crowdsourcing data involves leveraging a large and decentralized group of people to gather information, solve problems, or address challenges. This process typically occurs through digital platforms such as smartphone apps, social media, commercial software, and Internet of Things (IoT) devices, which facilitate interaction and data collection.
Additionally, the processing of textual data from social networks, blogs, and discussion boards allows for automated sentiment analysis. This analysis can be used for marketing, competitive intelligence, and new product development, enhancing the decision-making capabilities of global businesses.
1 comments:
Thanks for the valuable tips—definitely going to put them to use!
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