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How are retail companies taking advantage of advanced analytics?
- Prelegent(ci)
- Sasa Moilanen
- Afiliacja
- Zoined Oy
- Termin
- 26 kwietnia 2013 14:15
- Pokój
- p. 5820
- Seminarium
- Research Seminar of the Logic Group: Approximate reasoning in data mining
Examples
from the retail industry highlighting current analytics trends and specific use
cases for data mining, machine learning and predictive analytics. Thoughts on
how to maximize business value through smart analytics initiatives related to
better customer segmentation, targeted marketing, assortment optimization etc.
and how to ensure usability of such solutions for different kind of business
end users.
Agenda:
· Business intelligence
evolution
· Business drivers for
retail analytics
o Seeking for the
competitive advantage
o Examples of business
areas and processes being optimized with analytics
o Current IT trends in
analytics
· Examples of Zoined
retail analytics
o Analytics
architecture
o Customer Segmentation
o Market Basket
Analysis
o Sales Forecasting
· From data to
decisions
o Decision management
systems
o Role based
dashboards, notifications/alerts and recommendations
· Lessons learned and
future directions
