The digitalization of business has led to the rise of big data analytics. Big data analytics refers to the collection, organization and analysis of large sets of data. Two areas of big data analytics that MIS professionals may be involved with at a business are raw data maintenance and data mining.
Raw data maintenance involves maintaining a business’ raw data, usually in the form of databases. A database is like a library of information (customer data, vendor data, etc.) that is stored in an organized, easily accessible format. Database maintenance is especially important for businesses because in many cases, employees are adding, removing, moving and changing entries at will. This can lead to disorganization—and even database malfunction—if not addressed, and that’s where database maintenance comes in.
MIS professionals are responsible for keeping a business’ databases organized and streamlined in order to keep everything functioning smoothly. Oftentimes, database maintenance can also involve performing regular data backups. This helps protect the business from data loss due to technical problems, security breaches and other problems. A company’s data is one of its most valuable assets, which makes data maintenance a top priority for many businesses.
Data mining is another aspect of big data analytics that MIS professionals may be responsible for. Businesses use data mining to turn large sets of raw data into useful information. In essence, data mining refers to using technology to automatically comb through large amounts of data in order to identify patterns and trends that provide useful insights. MIS professionals may help with a business’ data mining efforts by building data mining models that use algorithms to review and analyze data in order to turn it into manageable pieces of useful information. This information can help businesses learn more about their customers, competitors, industry and more, making data mining an important part of many MIS professionals’ responsibilities.