Importance of Data Mining and Effects of Bad Data in a Business

How This Custom Writing Service Works

1. Place your order

Provide all instructions about the type of paper, length, deadline and pay.

2. Thorough research

Our team of professional writers conduct in-depth research on the topic to extract information from relevant sources.

3. Writing and proofreading

The experienced writers knit together all ideas into an original paper. Our editors go through the paper to correct any errors.

4. Product Delivery

You get your completed paper in your email. In case you need any corrections, we do ammendments free of charge.

Step 1 of 2

  • Price: $0.00

Why Buy Dissertations from us?

100% Original writing

No plagiarism. Original content written from scratch just for you. and custom free plagiarism report

Affordable writing service

Get your paper at a cheaper price than our competitors. Save money.

Timely delivery of orders

Never miss your submission deadlines again. We keep time & help you smile.

24/7 Customer support

Contact customer support or your writer any time for updates, drafts, etc. Call, Text, Whatsapp.

100% Private & Confidential

Your connection is private, your personal & payment information is secure

Need help placing your order?

Let nothing stop you from enjoying the best writing services. Save your time and focus on other aspects of your studies as professional writers work on your paper.

Importance of Data Mining and Effects of Bad Data in a Business

To order original high quality academic essays, research papers and dissertations, fill the form below:

Step 1 of 2

  • Price: $0.00

Importance of Data Mining and Effects of Bad Data in a Business

Bad data is any information that has been collected by an organization but does not provide actionable intelligence. It is a broad spectrum term that shows accuracy, verifiability, usability, and value of information at hand. It can be inaccurate or fraudulent. It can also have some controversial qualities like being old, subjective or just too much. Bad data is often caused by organizations collecting big data where they mainly focus on collecting large volumes of data instead of quality information that can help generate solutions to specific business issues. Lack of clear structures in an organization, dishonesty in an organization and lack of technology are the major causes for bad data. The consequences of relying on information that is not clean are disastrous. Organizations lose a lot of revenue as a result of decisions made from bad data. It takes time before an enterprise can go back on its feet once it suffers the consequences of relying on bad data. The statement that there is no bad data, just bad management is true.


The most common type of bad data is the case of starting with the wrong data set as a result of false records or incorrect information. This is a case of bad input by a human being which if relied upon definitely leads to bad decisions. Poor interpretation is the other most common type of bad data (Turney, 2013). Data interpretation is as a result of human element of intuition and control. It can therefore be concluded that as much as bad data comes from multiple sources, it is always not the data’s fault. From these two examples it can be concluded that the lifecycle of a piece of data has two interesting moments; the moment of creation and the moment of use. Quality, the extent to which the data is useful is determined at the moment of use after the data has been created. Since creation and use of data are purely human elements, human error is solely to be blamed for bad data.

To avoid paying the heavy price of bad data, companies need to put up stringent measures to avoid it in the first place. First, it is important to do the data janitor work of cleaning up data before it can be analyzed. Though tedious, data cleansing exercise removes the human errors cited as the chief reason for data inaccuracy. In addition, business departments need to   communicate clearly and share common information, so their data sets are complete. Data centralization is paramount in ensuring its accuracy (Reid, 2014). Finally putting in place efficient data strategies can be a long –lasting solution to ensuring clean data is always acquired. For example minimizing the role of employees by adopting technology can be an acceptable solution to human error.

Data mining is technology driven process of combing through and analyzing massive sets of data and then extracting the meaning of the data. The statistical tools used in data mining forecast behaviors and future trends, assisting businesses make informative decisions. One of the situations where data mining is very useful is in the marketing department. First, it assists in market basket analysis which helps understand which products are commonly bought together (Rajkumar, 2014). The results of the analysis can aid in drafting new marketing campaigns that incorporate co-promotion activities. The patterns obtained from data mining are useful in planning of direct marketing activities. It helps in drafting the list of the specific customers to be reached. Traditional market research can help segment customers but data mining digs deeper and increases market effectiveness. It aids in aligning the customers into a specific segment and helps make tailor made solutions for each customer. Market is always about retaining the customers. Data mining allows segmentation of customers based on vulnerability so that the business could offer them special offers and enhance satisfaction.

Big data however appealing can be the genesis of bad data for an organization if precautionary measures are not taken. Organizations must address data quality head-on, implementing policies, and advancing cultures such that data creators do so correctly the first time (Redman, 2014). The data customers should also communicate their specific needs to data creators in good time and they also have an obligation to provide feedback. Bad data, when relied upon, leads to improper decisions which can result in a permanent scar on the reputation and revenue of the business. Clean data is nevertheless not the miracle switch with all the solutions to business dilemmas. Data itself – no matter how accurate – has little value unless it can drive quicker, more effective decisions. Good data interpretation using the data mining tools is therefore imperative for any business.



Rajkumar P. (2014) 14 Useful Applications of Data Mining. Big Data made Simple. Accessed 2/11/17.

Redman T.C (May, 30,2012) Break the Bad Data Habit. Harvard Business Review. 2/11/17.

Reid. A (2014).3 Tips for Protecting your Organization from Bad Data. Pitney Bowes.  Accessed 2/11/17.

Turney D. (2013) How Big Data can Result in Bad Data. The Sydiney Morning Herald. Accessed 2/11/17

Types of Academic Papers

Research Paper
Reaction Paper
Lab Report
Book Report
Book Review
Movie Review
Synthesis Paper
Review of the Literature
Research Proposal
Thesis Proposal
Dissertation Proposal
Annotated Bibliography
Article Critique
Term Paper
Case Study
Capstone Project
Presentation Design
Mathematical Problem
Mind Game
Tricky Questions

Dissertation Chapters

Dissertation Abstract

Dissertation Introduction

Dissertation Literature Review

Dissertation Methodology

Dissertation Results

Dissertation Discussion

best essay writing services

Types of Essays

Expository essay
Analytical essay
Persuasive essay
Narrative essay
Definition Essay
Descriptive essay
Process Essay
Personal essay
Admission essay
Compare and contrast essay
Cause and effect essay
Critical analysis essay

Order Your Custom Paper Now

Step 1 of 2

  • Price: $0.00

Artificial Intelligence
Biological Sciences
Business Management
Business Studies
Chemical Engineering
Civil Engineering
Computer Science

Consumer Science
Cultural Studies
Earth Sciences
Electrical Engineering
English Language
Food Science
Gender Studies

Human Resource Management
Mechanical Engineering
Military Sciences
Museum Studies

Political Science
Public Administration
Religious Studies
Social Work
Software Engineering
Space Sciences
Systems Science
Veterinary Medicine

Write My Dissertation offers top-notch customer support services. 

When working on your dissertation paper, expect to find us online via Live Chat 24/7/265. 

Our customer support agents are always ready to listen to you and deliver a quality dissertation.

Be free to contact the customer support team if you have any questions or comments.

How To Order PhD dissertation

Could you help me write my dissertation?

Yes. That’s our work to write a dissertation.

Use the green order form to order the entire dissertation.

Instead of pay someone randomly selected from the internet, it’s good to use a reputable company like WMD which specializes in dissertation services.

It’s now easy to buy academic papers online. You can phone place order, fill out the order form, pre order product and hire someone to write your paper just like that. Expect to get great work, just like many others have, for your first order and all others.

You’ll experience the best, get your order 100% unique and delivered in time (timely delivery).

Write my dissertation delivers custom writing services to customers from all states in the USA. Our services are provided in the English language. You can find the best custom dissertation services if you are from any of the following states or territories in the United States of America: 

Alabama, Alaska, American Samoa, Arizona, Arkansas, California, Colorado, Connecticut, Delaware, District of Columbia, Florida, Georgia, Guam, Hawaii, Idaho, Illinois, Indiana, Iowa, Kansas, Kentucky, Louisiana, Maine, Maryland, Massachusetts, Michigan, Minnesota, Minor Outlying Islands, Mississippi, Missouri, Montana, Nebraska, Nevada, New Hampshire, New Jersey, New Mexico, New York, North Carolina, North Dakota, Northern Mariana Islands, Ohio, Oklahoma, Oregon, Pennsylvania, Puerto Rico, Rhode Island, South Carolina, South Dakota, Tennessee, Texas, U.S. Virgin Islands, Utah, Vermont, Virginia, Washington, West Virginia, Wisconsin, Wyoming

If you need dissertation writing help in the English language, then we’ve got you covered.

Our clients are mainly English speakers  from: Australia, New Zealand, United Kingdom, United States, Antigua and Barbuda, Bahamas, Barbados, Belize, Canada, Dominica, Federation of Saint Christopher and Nevis. Others include Fiji, Ghana, Grenada, Guyana, Ireland, Jamaica, Kenya, Liberia, Nigeria, Papua New Guinea, Saint Lucia, Saint Vincent and the Grenadines, Sierra Leone, Singapore, South Africa, Trinidad and Tobago.