Difference between revisions of "Analysis of User and Merchant Dropoff for Sugar App Methodology"
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==<div style="background: #95A5A6; line-height: 0.3em; font-family:helvetica; border-left: #6C7A89 solid 15px;"><div style="border-left: #FFFFFF solid 5px; padding:15px;font-size:15px;"><font color= "#F2F1EF"><strong>Tools Used</strong></font></div></div>== | ==<div style="background: #95A5A6; line-height: 0.3em; font-family:helvetica; border-left: #6C7A89 solid 15px;"><div style="border-left: #FFFFFF solid 5px; padding:15px;font-size:15px;"><font color= "#F2F1EF"><strong>Tools Used</strong></font></div></div>== | ||
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In terms of time-series data-mining, we will be using SAS Enterprise Miner as its tool allows us to perform descriptive, predictive and time-series analysis on huge volumes of data. | In terms of time-series data-mining, we will be using SAS Enterprise Miner as its tool allows us to perform descriptive, predictive and time-series analysis on huge volumes of data. | ||
| − | QGIS | + | For geospatial analysis, we have decided to use the QGIS software as it is open source, with a large amount of documentation and plugins available in the market. It is also the preferred software of choice for the Geospatial class in our university, which allowed us to access to more resources, namely the teaching materials, as well as the experience of our fellow university peers. |
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| + | ==<div style="background: #95A5A6; line-height: 0.3em; font-family:helvetica; border-left: #6C7A89 solid 15px;"><div style="border-left: #FFFFFF solid 5px; padding:15px;font-size:15px;"><font color= "#F2F1EF"><strong>Methodology</strong></font></div></div>== | ||
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Latest revision as of 13:48, 15 April 2016
| Background | Data Source | Methodology |
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Tools Used
JMP Pro will be used to perform exploratory analysis, funnel plot analysis and survival analysis. SAS JMP Pro is an analytical software that is able to handle large volumes of data efficiently, which is imperative since Sugar's data is too large to be handled by other software such as Microsoft Excel. Its built-in tools for survival analysis and funnel plot add-in will be extremely useful in our analysis. We are also very familiar with JMP Pro as we have utilised the software for many of our analytical modules such as Analytical Foundation.
In terms of time-series data-mining, we will be using SAS Enterprise Miner as its tool allows us to perform descriptive, predictive and time-series analysis on huge volumes of data.
For geospatial analysis, we have decided to use the QGIS software as it is open source, with a large amount of documentation and plugins available in the market. It is also the preferred software of choice for the Geospatial class in our university, which allowed us to access to more resources, namely the teaching materials, as well as the experience of our fellow university peers.
Methodology
