Data Analytics, E-commerce & Spreadsheet Design Module S & Required Resources on Class Website

Business Intelligence (BI) Information (Output) Data Analytics with Spreadsheets (Processing) Data Storage with Databases (Storage)

Concept Map Data Analytics Clarity Implementation Simplicity Design Fill, Find, Header, Print Titles, Freeze Panes, Fonts, Colors, Borders, Sort, Conditional Format, Transpose E-commerce

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

TrueFit House of Fraser -

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.

▪ Unity ▪ Delineation ▪ Order* ▪ Emphasis Clarity

Sort As Necessary Sort the data to place the last student alphabetically in the earliest semester at the top of the list.

▪ Unity ▪ Delineation ▪ Order ▪ Emphasis* Clarity

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.