Connectivity analytics is an emerging discipline that helps to explore the interrelated connections and effects between people, products, processes, machines, and systems within a network by mapping these connections and continuously monitoring the interactions between them. For example, the influence of opinion leaders has been used to answer difficult and persistent business questions about temporal relationships between nodes in the assessment of external event or actors on financial risk and network performance evaluation.
Data-Driven Innovation (DDI) refers to the realization of product, service or business model innovation using data analytics and digital technologies. This approach is a critical tool for companies to make better decisions, improve customer experience, and gain competitive advantage.
Predictive analysis is the analysis of big data to make predictions and determine the likelihood of future outcomes, trends, or events occurring.
The Semantic Layer is an abstraction layer between data sources and users that defines and standardizes data from a business perspective.
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