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Master data and data warehousing and business intelligence management - Essay Example

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Diverse industries require specific earth science statistics such as severe weather risks and related socio-logical data such as ethnicity, which is usually supplied from external sources, which highlights the need for data integration (Cervo 2011).Data integration in a hospital…
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Master data and data warehousing and business intelligence management
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Download file to see previous pages This project necessitates different activities performed by various departments; sequence of these activities and the necessary requirements in each activity before a patient receives the services of the doctor (Berson 2011). Reference data will include patient name, age, ethnicity, past medical records, body temperature, blood pressure and any other relevant individual data deemed necessary before a patient receives treatment. Taking the above into account, there is need to understand the relevant personnel require to gather the necessary data, feed it into a system and order in which such data is gathered.
Data Sources, Contributors and Data Integration Architecture; Data sources may be primary or secondary in reference to the situation at hand (ibm, R 2012). Main sources of data in this integration model are patient records, parts of which are filled prior to the treatment and others during treatment. Other sources include first-hand information provided by patients, and other observable traits such as skin colour, hair texture and colour among others. Main contributors of data in this model are the patients being attended too. They are the primary core contributors, without them the organization will not be functioning. Others contributors include employees who attend to these patients, because their services make it possible to interact with the sources.
Data convolution is the main reason why data integration needs architecture (Cervo 2011). Architecture engaged in this system should allow data integration effects in which data flows from diverse sources, through multiple transformations as it gets ready to load on the target system such as patient data hubs. Staging areas should be made possible because data does not flow uninterrupted, that is in a straight line (Berson 2011).
Data integration architecture is better understood to mean the pattern developed ...Download file to see next pagesRead More
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