Difference between revisions of "AY1516 T2 Group 18 Data"

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==<div style="background:#ff4fa7; padding: 10px; font-size: 14px; font-weight: bold; line-height: 1em; text-indent: 15px; border-left: #D3D3D3 solid 25px;"><font color="white">Data</font></div>==
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This study focuses on 2 main markets in the APAC region - Singapore and Malaysia. The data was collected and weighed afterwards in proportion of population representative for both countries.<br><br>
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The data was presented to us in an SPSS format and is cleaned. This is because the data was collected via online using panels, where online questionnaires are programmed in a way where logic checks and routing would have been done. Furthermore, the data collected was automatically coded in the background based on the specifications in the survey questionnaire. <br><br>
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TNS has provided with a set of data, and the following variables have been identified to be useful to answer the objectives of our project:<br><br>
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<b>Target Consumer Profile</b>
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*Gender
 +
*Age
 +
*Education
 +
*Employment status
 +
*Household structure
 +
*Household decision maker
 +
*Household income
 +
*Device ownership/usage
 +
*Frequency of online activities
 +
*Social/IM usage
 +
*Favorite social/IM
 +
*Digital engagement
 +
*Social influence
 +
*Products purchased P4W/P12M
 +
*Products purchased online
 +
*eCommerce barriers
 +
*Shopper mission - short/long cycle
 +
*Open or decided
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*Pre-purchase action
 +
<br>
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<b>Digital Media Platforms</b>
 +
*Device and media usage
 +
*Typical day
 +
*Time spent on device/media/activities
 +
*Activity usage by daypart
 +
*Engagement methods
 +
*Category engagement
 +
*Role of social
 +
*eCommerce websites
 +
<br>
 +
<b>Devices</b>
 +
*Device purchase intention
 +
*Proportion of activities by device
 +
 +
 +
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Revision as of 09:44, 10 January 2016

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DATA

 

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DOCUMENTATION


Data

This study focuses on 2 main markets in the APAC region - Singapore and Malaysia. The data was collected and weighed afterwards in proportion of population representative for both countries.

The data was presented to us in an SPSS format and is cleaned. This is because the data was collected via online using panels, where online questionnaires are programmed in a way where logic checks and routing would have been done. Furthermore, the data collected was automatically coded in the background based on the specifications in the survey questionnaire.

TNS has provided with a set of data, and the following variables have been identified to be useful to answer the objectives of our project:

Target Consumer Profile

  • Gender
  • Age
  • Education
  • Employment status
  • Household structure
  • Household decision maker
  • Household income
  • Device ownership/usage
  • Frequency of online activities
  • Social/IM usage
  • Favorite social/IM
  • Digital engagement
  • Social influence
  • Products purchased P4W/P12M
  • Products purchased online
  • eCommerce barriers
  • Shopper mission - short/long cycle
  • Open or decided
  • Pre-purchase action


Digital Media Platforms

  • Device and media usage
  • Typical day
  • Time spent on device/media/activities
  • Activity usage by daypart
  • Engagement methods
  • Category engagement
  • Role of social
  • eCommerce websites


Devices

  • Device purchase intention
  • Proportion of activities by device