Big data vs. tradition data

Big data is a new challenge due to the quantity of data organizations must manage. Big data is vast amounts of data that can be simple or complex. The term big data also includes the process by which that large amount of information is analyzed. Big data sets can include data that is unstructured, semi- structured, or structured. Big data can also be defined by the speed for which the data is received. Big data is delivered quickly and is frequently analyzed in real- time. Big data can also be considered more accurate. However, quality can be affected by the same factors that traditional data can be affected, bias, outliers, and noise. MongoDB, Cassandra, and NoSQL databases can be used to process big data. They are non- relational and raw data is used for processing (Big Data vs. Traditional Data, n.d.).

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Enterprise Resource Planning Systems

Enterprise Resource Planning systems are popular tools for businesses to streamline and bring together various aspects of the business. ERP systems are desired because successful implementation can cut the administrative costs for an operation by 20 percent, as well as improve all aspects of the operation by 20 percent (Abbas, 2023).

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