Discussion and replies

1. What are the business costs or risks of poof data quality? Support your discussion with at least 3 references.What is data mining? Support your discussion with at least 3 references.What is text mining? Support your discussion with at least 3 references.

Read and respond to at two (2) of your classmates .In your response to your classmates, consider comparing your articles to those of your classmates. Below are additional suggestions on how to respond to your classmates’ discussions:

· Ask a probing question, substantiated with additional background information, evidence or research.

· Share an insight from having read your colleagues’ postings, synthesizing the information to provide new perspectives.

· Offer and support an alternative perspective using readings from the classroom or from your own research.

· Validate an idea with your own experience and additional research.

· Make a suggestion based on additional evidence drawn from readings or after synthesizing multiple postings.

· Expand on your colleagues’ postings by providing additional insights or contrasting perspectives based on readings and evidence.

Reply to the 1st topic

Poor quality data becomes the main cause of poor status. It also declines the growth and productivity of an entire organization (Wenfei Fan, 2012). Several risks occur due to poor data quality, including:

• It damages the status of an organization as data reliability is not properly maintained.
• It can obstruct the decision making also lead to intervals due to incorrect data.
• There may be great loss of income as data is the main support for all forms of improvement and analysis (Borek, Parlikad, Webb, & Woodall, 2013).
• There may be ethical and legal problems due to poor data quality, for example, there is a big requirement to properly track and store the data in prerequisite format.
• It depresses the performance and effort of employees.
• It reduces the motivation and morale of employees at work also lose hope in data shared through the company.
• It also increases the working cost of commercial and effects profitability (McGilvray, 2008).

2.

Data mining is the procedure in which an association uses raw data and then transform it into a different form which is more beneficial for firm also information and data and be procured (Gorunescu, 2011). There are many software’s obtainable which are used to transform the raw data into a reliable structure and then offer expressive information. It assists to support effectual decision making in an organization (Pang-Ning Tan, 2013). It has become progressively significant in current time with more obtainability of information and data. The knowledge or information extracted which can be used for the following applications (Zaki, Meira, Jr, & Meira, 2014).

• Market Examination
• Fraud Recognition
• Client Retention
• Production Governor
• Knowledge Exploration

3.

The determination of text mining is to route unstructured data and information, extract reliable and significant numeric directories from the text, and thus make the data and information restricted in the text available to the several data mining (machine and statistical learning) algorithm (Gary Miner, 2012). Information can be mined to derive abstracts for the words limited in the documents or to figure abstracts for the documents based on the words contained in them. Text mining is different from data mining as it reads and examines the documents on behalf of users (Hofmann & Chisholm, 2016).It can recognize real senses thanks to cultured Natural Language Processing (NLP) procedures, which permit it to identify similar concepts (Talib, Hanif, Ayesha, & Fatima, 2016).

Reply to 2nd topic

Data Quality is important aspect in maintaining the business or IT industries. This was an ongoing problem with more troubles. If IT managers neglect the issue to improve the accurate information, then it would be a serious issue. Mistakes can mainly have done by human. Human error is a big issue when managing the data at the time of compilation. Once the mistakes are done in system then it is difficult to make it in correct way.

Causes of Poor Data Quality can be:

· Not maintaining the companies’ privacy and guidelines and failing to follow the procedures.

· On the same time as records is preceding and reaction is below unresponsive then data can be facts decay. This makes the first-class information super into lousy data excellent

· retaining the shortcuts to finish the reporting due to the truth amassing the huge quantity of facts consequences in masses an awful lot much less time to do.

Data Mining is likewise a information Discovery in information which mechanically searches for storing massive amount facts to maintain in clean layout. This particularly interest on large facts gadgets and databases. It's miles a powerful tool which facilitates to find out patterns and relationships with in given facts. It obtained’t paintings with the useful useful resource of itself. It bureaucracy the hidden data in records but received’t offer valuable statistics to commercial enterprise organization agency. There can be a go with the waft of approach which can be very a bargain usable because it obtained’t stop the approach till the appropriate solution outcomes.

· hassle Definition: This segment gives the facts about assignment desires and requirements.

· statistics collecting and schooling: proper proper right here it accesses the records and transformation is completed.

· version constructing and assessment: It creates the model and tests.

· facts Deployment: It explains the custom critiques and packages.

Text Mining is the form of deriving the facts from the given textual content. It includes the shape of the text then it derives the pattern in primarily based facts then in the end it evaluates offers the output. It can assist the agencies to derive the monetary business enterprise from textual content content material fabric like e mail, documents and some social media like fb, Twitter and LinkedIn.