1.2 - Activity Ten - Managing Information Overload

Spread sheets help with managing data espcially within finacial companies...
"because of their ability to re-calculate the entire sheet automatically after a change to a single cell is made." (http://en.wikipedia.org/wiki/Spreadsheet).
Within a spreadsheet you are able to display and hold a lot of information... for example within a company they may have spreadsheets of customers details. They may also use spreadsheet to manage their money in and out of the company and to make calculations.

Data mining can help with managing data because it sets it out in to four different classes of tasks...
"Classification - Arranges the data into predefined groups. For example an email program might attempt to classify an email as legitimate or spam. Common algorithms include Decision Tree Learning, Nearest neighbor, naive Bayesian classification and Neural network.
Clustering - Is like classification but the groups are not predefined, so the algorithm will try to group similar items together.
Regression - Attempts to find a function which models the data with the least error.
Association rule learning - Searches for relationships between variables. For example a supermarket might gather data on customer purchasing habits. Using association rule learning, the supermarket can determine which products are frequently bought together and use this information for marketing purposes. This is sometimes referred to as "market basket analysis"." (http://en.wikipedia.org/wiki/Data_mining)
This would help in managing data because it is categorised without you having to process it thoroughly yourself.

Simulation software is "a program that allows the user to observe an operation through simulation without actually performing that operation. Simulation software is used widely to design equipment so that the final product will be as close to design specs as possible without expensive in process modification." (http://en.wikipedia.org/wiki/Simulation_software)