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Group presentation2
1.
Data Mining (DM)
Matthew Stanley Cynthia Denise Williams Cianti Williams
2.
3.
Real World Case
4- Applebee’s Travelocity, and Others: Data Mining for Business Decisions
4.
Questions
5.
Analysis
6.
Final Remarks
7.
8.
Ability of systems
to learn
9.
Artificial Neural Networks
Databases
10.
Expert Systems
11.
12.
13.
Secondary to advances
in technology
14.
DM process continue
to increase
15.
16.
17.
Applebee’s: restaurant
18.
Analyzed operations at
their restaurants
19.
Used data to
calculate how much time a customer spends in the restaurant (from time of order, to food service, to payment)
20.
21.
Using text analytics
software (natural language engine) from Attensity
22.
Identifies facts, opinions,
trends, etc…
23.
Result: effectively identifies
trends which allows the company to prevent problems or anticipate customer needs more efficiently.
24.
VistaPrint: online graphic
design services
25.
Improved their ability
to retrieve trend information
26.
Installed new technology->retrieved
1% of information
27.
28.
Gain Competitive
29.
Advantages
30.
Find Patterns
31.
Summarize
32.
Increase revenue, cut
cost
33.
34.
Must be open
minded
35.
Need access to
all phases of data for complete picture
36.
Individual privacy
37.
38.
Compare drink choices
with sport events
39.
40.
41.
Encourages innovation
42.
43.
44.
45.
46.
47.
Remember previous interests
and display relevant items
48.
Displays items that
are popular and related
49.
50.
51.
Thank you!
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