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Raul Pacheco Rodriguez

Summary:

Description of Technology or Terms:

1. Structured data: When we talk about structured data we refer to data that can be

identified with no delay in an electronic structure, for example a database

2. Unstructured Data: On the other hand unstructured data is the one that is more

difficult to identify due to the fact that it is not organized in a pre-defined manner

3. Text Analysis Software: Or a text mining software is used to discover patterns

and relationships from large sets of unstructured data.

Question 1: What challenges does the increase in unstructured data present for businesses?Answer 1: One of the main concerns of companies is that the exponential growth

unstructured data may be too much to handle, it is true that text mining software

make this task much easier but it generates a vast number of opinions or feedback

by the client, if unstructured data keeps increasing at this rate it’s going to be

difficult for business to focus on certain improvements because there will be just

too much different things to work on.

Question 2: how does text-mining improve decision-making?

Answer 2: Text mining software lets the manager see the whole landscape of their

business in their current state. If the text mining software finds a high rate of

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Raul Pacheco Rodrigueznegative response it will show the main reasons for this. As a manager you can

then clearly see what you need to improve in your process and make the

necessary adjustments to satisfy the needs of your customers. Or in the other hand

you can observe the positive feedback of the client in order to reinforce your

competitiveness.

Question 3: What kinds of companies are most likely to benefit from text mining software? Explain your answer.Answer 3: In a certain degree all companies benefits from text mining software.

But the one who benefits the most are probably the one that have direct contacts

with their clients on a daily basis such hotel chains or any companies in the

touristic sectors. They benefit the most because they get this kind of feedback daily

and their need to make fast improvements is higher than other companies every

day new customers arrive and if you don’t improve fast unsatisfied customers will

spread the word quickly and in this competitive environment adapting quickly is the

key of success or failure.

Question 4: In what ways could text mining potentially lead to the erosion of personal information privacy? Explain.Answer 4: Unstructured data is found all around the web especially in social

networks such as face book or twitter. Text mining can be used to identify certain

tendencies of people by applying this software on their personal information .This

won’t stop here if text mining is found to be successful on social networks

companies won’t stop and they are going to violate users personal information for

example in their text messages to seek tendencies that they can benefit of. That

means every single file, message; tweet or commentary could be exploited and be

potentially analyzed by text mining software.

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Raul Pacheco Rodriguez

References:

Laudon, J & Laudon, K. (2012). Management Information Systems. New

York: Pearson.

Grimes,S. (2005). Structure, Models and Meaning. 14 de Octubre del 2015,

de Informationweek Sitio

web:http://www.informationweek.com/software/informationmanagement/structure-

models-and-meaning/d/d-id/1030187?