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BI Internship Presentation

This document discusses analyzing incoming brand data and how to better comprehend it. It suggests creating a uniform report structure to analyze data from multiple sources for net sales, discounts, and voids. This will provide uniformity, completeness, and comfortability when reviewing the data. Questions are also welcomed to improve the analysis of the brand data.

BUSINESS INTEL
INTERNSHIP
KYLE ESTEPA / SELECT *

TOPICS
1.Overvie
w
2.Analysis
3.Solution
s
4.Closing

OVERALL:
•Uniformity
•Completeness
•Comfortability

BI Internship Presentation

1.
SELECT *
3.
BUSINESS INTEL INTERNSHIP KYLE ESTEPA/ SELECT *
4.
TOPICS 1.Overvie w 2.Analysis 3.Solution s 4.Closing
5.
BACKGROUND
6.
INCOMING BRAND DATA
7.
HOW DO WE COMPREHENDOUR DATA?
9.
#1 ALOHA
10.
#2 ALOHA EDW
11.
SQL SELECT * FROM … EDW
12.
#3
13.
EDW
14.
Selec t *
15.
EDW ALOHA
16.
ED WALOHA
19.
NET SALES
22.
NET SALES DISCOUNT S VOIDS
23.
SELECT *
26.
1
28.
UNIFORM REPORT STRUCTURE #1
29.
#2 ENROLL MORE SBR’S
33.
OVERALL: •Uniformity •Completeness •Comfortability
35.
QUESTIONS
36.
THANKS

Editor's Notes

#2 -remember first mistake? -
#7 Overwhelming
#8 understand
#11 Lake into warehouse into cube Data transformed
#15 Explain BI
#19 -Pivot table didn’t report tips, not on Aloha either, included with tendered -Had to pull up payment report to find tips “You’d think that Moe’s tips would be high right?”
#24 -PTD and YTD average checks off for Moe’s, Auntie Anne’s, Cinnabon, Schlotz -VAR % YTD off -Auntie Anne’s PTD and YTD comp sales, traffic and total sales off -
#29 BI portal and CC reports compared to databases
#31 know temp
#32 Pogo at the prado, screen shot of lures, and temp 9:42…
#33 10:22 5 Season’s Brewing Pogo rest stop (snacks + chargers)

BI Internship Presentation

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Editor's Notes