IS480 Team wiki: 2018T1 analyteaka research
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:
|Predictive analytics||Understanding the future:
|Prescriptive analytics||Advise on possible outcomes:
Based on the above details our modules are split into the respective section
- Customer Profile module
- Store Profile
- Staff profile
- Machine Learning
- Data visualisation module
- Analytics and reporting module