



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.
This technology aims to improve our quality of life by communicating with each other, understanding and predicting human behavior by the devices around us.
It is difficult to make a clear definition of data quality. The truth is that your data quality is good if the data achieves its purpose of using it. For example, showing the right values on a management board to guide the organization ensures that management is also consistent and the process is managed correctly.
Risk management, sometimes referred to as risk mitigation, is the process of developing a strategy to reduce certain individual risks until the aggregate risk level for an activity is reduced to an acceptable level.
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