Concept explainers
Explanation of Solution
Data quality and data management:
The data quality and data management aids the organization in standardizing, correcting and enhancing the data of the customers by taking proper address, email and required information, removing the replicated or duplicate data that is present in the corporate system, analyzing and discovering the relationship that is present with the data and monitoring the data ensuring the quality control and standardization.
Experience in the area:
Yes, the job seekers seem to have a work experience in the quality data management.
Problems that could be encountered with the data quality:
The below are the issues that could be encountered based on the quality of the data:
- Presence of the duplicate data.
- Incomplete data.
- Inconsistency with the data format.
- Range of accessibility.
- Upgrade that is present with the system.
- Data storage and improper data removal.
Rectifying the problems that are encountered with the data quality:
The problems that occur with data quality can be addressed using proper analysis tools, the tools will help in making the process like data conversion happen automatically and will reduce the errors that occur while performing the same task manually.
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Chapter 3 Solutions
Essentials of MIS (13th Edition)
- What exactly is data profiling, and what role does it play in data quality programs?arrow_forwardExplain the concept of data ethics and its importance in data management. How do organizations ensure ethical handling and use of data, and what ethical considerations should be taken into account?arrow_forwardDiscuss the concept of data retention policies in data management. Why are these policies important, and how do organizations determine appropriate data retention periods?arrow_forward
- Explore the concept of data lineage in depth. How is it implemented, and what benefits does it provide in terms of data traceability and auditability?arrow_forwardWhat are the challenges associated with data quality in data warehousing, and how can they be mitigated?arrow_forwardIn terms of the success of data warehousing, how crucial do you believe it is that the data be of high quality? What are the advantages and telltale indicators of having access to high-quality data, and how do you get it?arrow_forward
- How does data profiling differ from data cleansing in the context of data quality improvement in data warehousing? What are the goals and techniques of each process?arrow_forwardIn the context of data management, what is data lineage, and why is it crucial for data traceability and compliance?arrow_forwardHow do data warehousing solutions handle data versioning and historical data? What benefits does maintaining historical data provide for business analysis?arrow_forward
- Explain the concept of "data lineage" in the context of data governance. How does data lineage tracking help ensure data traceability and compliance with regulatory requirements?arrow_forwardWhat are some of the benefits that come along with the process of data profiling?arrow_forwardHow crucial do you believe data quality is to the success of data warehousing? What are the advantages and indicators of access to high-quality data?arrow_forward
- Principles of Information Systems (MindTap Course...Computer ScienceISBN:9781305971776Author:Ralph Stair, George ReynoldsPublisher:Cengage Learning