A paper named "Connecting The Dots To Combat Collective Fraud" discusses the development of two real-time risk control systems to detect collective fraud committed by coordinated groups of accounts on online platforms. By utilizing TigerGraph, a graph database, and its query language GSQL, the authors demonstrate how data scientists and fraud experts can efficiently implement and deploy an end-to-end risk control system as a graph database application.
Here is a paragraph from this paper,
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Detecting fraudulent activity is a never ending battle in the digital world. More and more merchants and financial organizations are targets for fraudsters and cybercriminals. Merchants and financial services organizations will spend $9.3 billion annually on fraud detection and prevention by 2022 (See [Ref.6 of ArXiv:2101.01898]). Global online payment fraud (also called CNP or “Card Not Present” fraud) alone will cost merchants $130 billion in just five years (from 2018 to 2023) (See [Ref.7 of ArXiv:2101.01898]). The latest report from LexisNexis (See [Ref.8 of ArXiv:2101.01898]) also indicates that fraud attempts have increased significantly among retailers and e-commerce merchants during the past year, with more than twice the number of attempts and an 85 percent increase in fraud success rates. 
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Based on the given passage, formulate a question that aligns accurately with the primary fact disclosed within the paper. You should answer this question in only one sentence start with "What", "Why" or "How". The format is "Question: abcdefgh" Write exactly 3 paragraphs each separated with two new lines answering this question. The last paragraph must start with "never".
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