Cobbling together software parts that do not all use the same database increases the risk of what?

Marketing automation

AI

Clean data

Dirty data


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Explanation: The correct answer is Dirty data. When software parts are cobbled together without using the same database, it increases the risk of dirty data. Dirty data refers to data that is inaccurate, incomplete, or inconsistent, which can arise from various sources, including human error, duplicate entries, or system integration issues. When different software components within an organization operate on disparate databases, it becomes challenging to ensure data consistency and integrity across systems. Inconsistent data formats, incompatible data structures, and synchronization errors may occur, leading to discrepancies and inaccuracies in the data. These inconsistencies can have significant implications for decision-making, as they can result in incorrect analyses, flawed insights, and poor business outcomes. Therefore, integrating software parts with the same database helps mitigate the risk of dirty data by ensuring data consistency, accuracy, and reliability across the organization’s systems and processes, thereby facilitating more informed decision-making and improved operational efficiency.

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