Data Management and Integration Challenges
Data Management and Integration Challenges
Data integration spans most industries and is vital to most businesses for customer use, planning, and analysis of current operations. For this discussion, respond to the following:
What are some of the challenges related to the use of data management and integration in relation to supporting a data analytics project?
IT4310 Data Integration
Unit 2 Discussion
Data Integration in Health Care
Data integration in health care is a major focus these days, as hospitals and other health care facilities are adding electronic medical records and working to share information across multiple platforms. For this discussion, respond to the following:
How is mobile technology changing the way in which data is integrated in health care settings?
IT4310 Data Integration
Unit 3 Discussion
Identifying Unique Subjects in Multiple Data Streams
Banks have been among the first to integrate external and internal data streams to create information out of data, which can then be used to provide knowledge necessary to solve business problems. One of the most complex data-management activities is matching the data of a unique subject in one data flow to the data of that same subject in another data flow. In the example of using credit scores to internal banking records for the purpose of evaluating risk of issuing a mortgage or a loan, it is typically the social security number that is used to match records from multiple sources.
In this discussion, respond to the following:
Discuss the pros and cons of using this particular identifier as a means to identify unique subjects of data. Consider the variety of issues related to the SSN that can create errors or that might impact the quality of this data as a unique identifier.
Propose an alternative solution that would allow data from multiple data streams to be integrated properly without using the SSN as the means by which to do that data matching.
IT4310 Data Integration
Unit 4 Discussion
Data Integration in Retail
Retail businesses depend on repeat customers to remain in business. The integration of information that is internal to a department store is challenging to do in a way that optimizes the value of the information. The addition of external data such as tax, credit and economic forecasting data can be a particularly difficult challenge to do well.
For this discussion, pick a type of retail company and respond to the following:
What is the potential value of data integration for the enterprise?
What do the readings and Internet resources from this unit as well as your own individual research suggest about external data being used to help the retail sales industry in solving business problems?
What are some of the technologies available to support these objectives?
IT4310 Data Integration
Unit 5 Discussion
Data Integration in Insurance
Data integration in the insurance industry must be a repeatable process that occurs on an ongoing basis. In this discussion, respond to the following:
Discuss how data integration could be used to improve the insurance industry. For example, car insurance could be improved by installing a GPS system on cars so that the company could track the speed that a person drives, miles per day, et cetera, and combine this information with prior history to either increase or decrease premiums.
Discuss the potential privacy implications of such technology and the secondary use that may result from having the information available (for example, lawyers are frequently leveraging GPS and black box technologies to track the movements of individuals as part of a lawsuit).
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