Ask the Expert

Data mining tools: Advantages and disadvantages of implementation

What are the advantages and disadvantages of data mining tools?

    Requires Free Membership to View

I will take your question to mean the application of data mining technologies, such as SAS, SPSS or Microsoft Data Mining to solve specific business problems. Business problems need to be solved, and often technology is required. Many problems that can be solved with data mining technologies can also be solved with OLAP. Data mining is just a better tool in the toolbox for certain types of problems.

More on data mining and related topics

Learn about the ethical dilemmas posed by the growing reach of analytics

Find out how to overcome executive resistance and empower data-driven decisions

Discover how prescriptive analytics affects the analytics maturity model

Disadvantages of data mining tools

The techniques deployed by some tools are generally well beyond the understanding of the average business analyst or knowledge worker. This is because the tool was generally designed for expert statisticians involved in the detailed science of predictive modeling. This would be the disadvantage of data mining today. If this advanced level of analysis is reserved for the few, instead of for the masses, the full value of data mining in the organization cannot be realized. For those with average analytical capabilities, data mining is not nearly as effective as it could be.

Advantages of data minining tools

Data mining tools that are interactive, visual, understandable, well-performing and work directly on the data warehouse/mart of the organization could be used by front line workers for immediate and lasting business benefit.

There are numerous, accessible data mining techniques that are more effective than most simply because they will be used by so many within an organization. With little investment, they can draw attention to significant anomalies that deserve further investigation. Data mining tools help customers analyze data by executing a series of actions and returning results that provide visibility into behaviors surrounding the dimensions of the company's business. SQL Server 2005, for example, provides seven "out of the box" algorithms that can assist a company in obtaining insight into their business. Each algorithm works differently to produce an output of results. In all cases, the algorithms are "trained" by exposing them to the customers' existing data sets. The training set might include sets such as order history, payable/receivables, web navigation logs, or customer demographic information.

For more on data mining

This was first published in August 2007

There are Comments. Add yours.

 
TIP: Want to include a code block in your comment? Use <pre> or <code> tags around the desired text. Ex: <code>insert code</code>

REGISTER or login:

Forgot Password?
By submitting you agree to receive email from TechTarget and its partners. If you reside outside of the United States, you consent to having your personal data transferred to and processed in the United States. Privacy
Sort by: OldestNewest

Forgot Password?

No problem! Submit your e-mail address below. We'll send you an email containing your password.

Your password has been sent to: