ADMS 2511 Chapter Notes - Chapter Chapter 5: Master Data Management, Data Governance, Data Degradation

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Document Summary

Data should be of high quality accurate, complete, timely, consistent, accessible, relevant, and concise: difficulties in managing data: Amount of data increases exponentially with time. Data is scattered; collected using different methods and stored in different locations. Obtained from multiple sources (internal, personal, external) Clickstream data produced by visitors/customers when they visit a website and click on hyperlinks. Data degrade over time (new products developed, employees hired/fired, etc. ) Subject to data rot (physical factors that affect media where data is stored e. g. light exposure, temperature) Information systems developed for specific business processes (e. g. supply chain mgmt, Crm, transaction processing) impose unique requirements on data, which results in repetition and conflicts across the organization products inconsistent data in enterprise. Risk of fraud or security breech if a company lacks proper data management policies: data governance. Approach to managing information across entire organization.

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