Data Analytics, E-commerce
& Spreadsheet Design
Module S &
Required Resources on Class Website
Data Analytics
with
Spreadsheets
(Processing)
Information
(Output)
Data Storage
with
Databases
(Storage)
Business
Intelligence
(BI)
Concept Map
E-commerce
Data
Analytics
Implementation
Design
Simplicity
Clarity
Fill, Find, Header,
Print Titles, Freeze
Panes, Fonts, Colors,
Borders, Sort,
Conditional Format,
Transpose
Objectives
▪ Define E-commerce & Data Analytics.
▪ Explain the Simplicity & Clarity Design
Goals.
▪ Demonstrate Excel features often used with
large spreadsheets.
▪ Demonstrate Excel features that support
Simplicity & Clarity
E-Commerce & Apparel
•Digital sales only represent about
10% of all apparel sales each year
•Roughly 40% of retailers’ online sales
are returned due to unflattering fits
Fashionista
http://www.youtube.com/watch?v=ZnBcqV9POkY&feature=player_embedded#
TrueFit
House of Fraser - http://www.truefit.com/about-us/how_it_works
Data Analytics
Supports fact-based decision making
in data-rich environments
Productivity
▪Moving Efficiently
▪Fill vs. Copy
▪Find
New Student Number
1. Open 5 yrs of 1504.xlsx.
2. Create a new first column and use
it to number each student
uniquely.
3. Increment this number by 5. ie.,
first student is 5, second student is
10, third student is 15.
Spreadsheet Design Goals
▪Simplicity
▪Clarity
▪ Unity
Setting up Headings
1. Add a title to your worksheet.
2. Add Freeze Panes.
3. Set Print Titles.
Clarity
▪Unity
▪Delineation
▪Order*
▪Emphasis
Sort As Necessary
Sort the data to place the last student
alphabetically in the earliest semester
at the top of the list.
Clarity
▪Unity
▪Delineation
▪Order
▪Emphasis*
Highlight Best Scores
▪Emphasize perfect Exam 1 scores for
all students.
▪Using only the first 10 students in
your worksheet, emphasize the
highest Exam 4 score.
Simplicity – Part 2
▪Numbers to be compared should
align in columns.
Prep for Analysis
Open 1504 Enrollment.xlsx
Setup the worksheet so you can most
easily compare the Fall enrollments
from year to year.