Please I want a short answer, thanks. WHAT CAN BUSINESSES LEARN FROM TEXT MINING?Read the Interactive Session and discuss the following questionsWhat challenges does the increase in unstructured datapresent for businesses?How does text-mining improve decision-making?What kinds of companies are most likely to benefit from textmining software? Explain your answer.In what ways could text mining potentially lead to theerosion of personal information privacy? Explain. CREDIT BUREAU ERRORS-BIG PEOPLE PROBLEMSRead the Interactive Session and discuss the following questionsAssess the business impact of credit bureaus' data qualityproblems for the credit bureaus, for lenders, for individuals.Are any ethical issues raised by credit bureaus' data qualityproblems? Explain your answer.Analyze the people, organization, and technology factorsresponsible for credit bureaus' data quality problems.What can be done to solve these problems?

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Engineering

Computer Science

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Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

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Question

100%

Please I want a short answer, thanks.

WHAT CAN BUSINESSES LEARN FROM TEXT MINING?
Read the Interactive Session and discuss the following questions
What challenges does the increase in unstructured data
present for businesses?
How does text-mining improve decision-making?
What kinds of companies are most likely to benefit from text
mining software? Explain your answer.
In what ways could text mining potentially lead to the
erosion of personal information privacy? Explain.

CREDIT BUREAU ERRORS-BIG PEOPLE PROBLEMS
Read the Interactive Session and discuss the following questions
Assess the business impact of credit bureaus' data quality
problems for the credit bureaus, for lenders, for individuals.
Are any ethical issues raised by credit bureaus' data quality
problems? Explain your answer.
Analyze the people, organization, and technology factors
responsible for credit bureaus' data quality problems.
What can be done to solve these problems?

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