Difference between revisions of "IS480 Team wiki: 2018T1 analyteaka research"
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{| class="wikitable;style="background-color:white; color:white padding: 5px 0 0 0;" width="100%" height=50px cellspacing="0" cellpadding="0" valign="top" border="0" | {| class="wikitable;style="background-color:white; color:white padding: 5px 0 0 0;" width="100%" height=50px cellspacing="0" cellpadding="0" valign="top" border="0" | ||
− | | style="vertical-align:top;width:16%;" | <div style="padding: 0px; font-weight: bold font-family:Century Gothic; text-align:center; line-height: wrap_content; font-size:85%; border-bottom: | + | | style="vertical-align:top;width:16%;" | <div style="padding: 0px; font-weight: bold font-family:Century Gothic; text-align:center; line-height: wrap_content; font-size:85%; border-bottom:1px"> [[IS480 Team wiki: 2018T1 analyteaka ProjectOverview Description | <font color="#35332E"><b>PROJECT DESCRIPTION</b></font>]] |
| style="vertical-align:top;width:16%;" | <div style="padding: 0px; font-weight: bold font-family:Century Gothic; text-align:center; line-height: wrap_content; font-size:85%; border-bottom:1px">[[IS480_Team_wiki:_2018T1_ analyteaka_stakeholders | <font color="#35332E"><b>STAKEHOLDERS</b></font>]] | | style="vertical-align:top;width:16%;" | <div style="padding: 0px; font-weight: bold font-family:Century Gothic; text-align:center; line-height: wrap_content; font-size:85%; border-bottom:1px">[[IS480_Team_wiki:_2018T1_ analyteaka_stakeholders | <font color="#35332E"><b>STAKEHOLDERS</b></font>]] | ||
| style="vertical-align:top;width:16%;" | <div style="padding: 0px; font-weight: bold font-family:Century Gothic; text-align:center; line-height: wrap_content; font-size:85%; border-bottom:1px">[[IS480_Team_wiki:_2018T1_ analyteaka_projectscope | <font color="#35332E"><b>PROJECT SCOPE</b></font>]] | | style="vertical-align:top;width:16%;" | <div style="padding: 0px; font-weight: bold font-family:Century Gothic; text-align:center; line-height: wrap_content; font-size:85%; border-bottom:1px">[[IS480_Team_wiki:_2018T1_ analyteaka_projectscope | <font color="#35332E"><b>PROJECT SCOPE</b></font>]] | ||
| style="vertical-align:top;width:16%;" | <div style="padding: 0px; font-weight: bold font-family:Century Gothic; text-align:center; line-height: wrap_content; font-size:85%; border-bottom:1px"> [[IS480_Team_wiki:_2018T1_ analyteaka_xfactor | <font color="#35332E"><b>X-FACTOR</b></font>]] | | style="vertical-align:top;width:16%;" | <div style="padding: 0px; font-weight: bold font-family:Century Gothic; text-align:center; line-height: wrap_content; font-size:85%; border-bottom:1px"> [[IS480_Team_wiki:_2018T1_ analyteaka_xfactor | <font color="#35332E"><b>X-FACTOR</b></font>]] | ||
| style="vertical-align:top;width:16%;" | <div style="padding: 0px; font-weight: bold font-family:Century Gothic; text-align:center; line-height: wrap_content; font-size:85%; border-bottom:1px"> [[IS480_Team_wiki:_2018T1_ analyteaka_technologies | <font color="#35332E"><b>TECHNOLOGIES</b></font>]] | | style="vertical-align:top;width:16%;" | <div style="padding: 0px; font-weight: bold font-family:Century Gothic; text-align:center; line-height: wrap_content; font-size:85%; border-bottom:1px"> [[IS480_Team_wiki:_2018T1_ analyteaka_technologies | <font color="#35332E"><b>TECHNOLOGIES</b></font>]] | ||
− | | style="vertical-align:top;width:16%;" | <div style="padding: 0px; font-weight: bold font-family:Century Gothic; text-align:center; line-height: wrap_content; font-size:85%; border-bottom: | + | | style="vertical-align:top;width:16%;" | <div style="padding: 0px; font-weight: bold font-family:Century Gothic; text-align:center; line-height: wrap_content; font-size:85%; border-bottom:3px solid #7D5B53; ">[[IS480 Team wiki: 2018T1 analyteaka ProjectOverview Description | <font color="#35332E"><b>RESEARCH</b></font>]] |
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Revision as of 15:41, 14 August 2018
Data Analytics is the process of examining data sets in order to draw conclusions about the information they contain, increasingly with the aid of specialized systems and software.
Typical mechanisms: Database (only Data)
Typical timeframe: Offline
The outcome of analytics is informed business decisions to verify or disprove scientific models, theories and hypotheses. The typical goals is to improve efficiency, optimize processes, increase revenues etc.
The hardest part of analytics project is asking the question. As Robert Half once mentioned, "Asking the right questions takes as much skill as giving the right answers." - Robert Half
Descriptive analytics | Insight into the past:
Data operations:
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Predictive analytics | Understanding the future:
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Prescriptive analytics | Advise on possible outcomes:
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Based on the above details our modules are split into the respective section
Descriptive:
- Customer Profile module
- Store Profile
- Staff profile
Predictive:
- Machine Learning
Prescriptive:
- Data visualisation module
- Analytics and reporting module