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201019 Business Analytics in Practice

Question

Answered

Question:

Scenario:

Leaders are now proactively considering data as a corporate asset that drives business value. They are fully aware of the costs and risks associated to low-quality and inaccurate data. In organizations, executives make all the necessary resources - funds and technology available to support a successful enterprise data environment. When data is of excellent quality, it can be effectively processed and analysed for insights which can help managers in organizations to make better decisions. High quality data is vital to business analytics and better operational efficiency. Many organisations are still failing to achieve high quality data due to various types of challenges.

Task:

In the context of the above scenario, develop a research report that (at least) answer the following questions with practical examples.
What is data quality? Why data quality is so important for managers in decision making? Why it has continuously been challenging for organisations around the world? How organisations are attempting to address salient data quality challenges for effective decision making?

201019 Business Analytics in Practice

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Tellus molestie nunc non blandit massa enim nec dui. Tellus molestie nunc non blandit massa enim nec dui. Ac tortor vitae purus faucibus ornare suspendisse sed nisi. Pharetra et ultrices neque ornare aenean euismod. Pretium viverra suspendisse potenti nullam ac tortor vitae. Morbi quis commodo odio aenean sed. At consectetur lorem donec massa sapien faucibus et. Nisi quis eleifend quam adipiscing vitae proin sagittis nisl rhoncus. Duis at tellus at urna condimentum mattis pellentesque. Vivamus at augue eget arcu dictum varius duis at. Justo donec enim diam vulputate ut. Blandit libero volutpat sed cras ornare arcu. Ac felis donec et odio pellentesque diam volutpat commodo. Convallis a cras semper auctor neque. Tempus iaculis urna id volutpat lacus. Tortor consequat id porta nibh.

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