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ACIS 1504 - Introduction to Data Analytics & Business Intelligence Verifiabilit y.

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Presentation on theme: "ACIS 1504 - Introduction to Data Analytics & Business Intelligence Verifiabilit y."— Presentation transcript:

1 ACIS 1504 - Introduction to Data Analytics & Business Intelligence Verifiabilit y

2

3 Business Intelligence Data Analytics E-commerce Big Data* Methods Data Mining* Text Mining* OLAP* Visualization* Query  Data Analytics E-commerce Big Data* Methods Data Mining* Text Mining* OLAP* Visualization* Query  Database Benefits  Components  Database Benefits  Components 

4 Concept Map Data Analytics Implementation Verifiability Design Data Validation Protection Documentation

5 Objectives Explain the Verifiability Design Goal. Demonstrate Excel features often used to support verifiability.

6 Segment A: Verifiability

7 Answers From Big Data https://www.youtube.com/watch?v=LrNlZ7-SMPk Data Agents Unstructured New Talent New Way of Thinking Opportunity

8 Spreadsheet Design Goals 1.Simplicity 2.Clarity 3.Verifiability 4.Accuracy 5.Efficiency

9 Verifiability Easy to understand Minimize erroneous data entry

10 Segment B: Understandability

11 Titles

12 Rename Worksheet Double-click sheet tab to change text

13 Headers & Footers

14 Comments

15 Range Names

16 Documentation Worksheet

17 Document Nashville Hotels Example Open the Nashville Hotels spreadsheet we worked with last class. Add appropriate documentation including: Sheet Name Headers and Footers Comments

18 Segment C: Data Validation

19 Define rules to limit data entry to reasonable values.

20 1.Which data cells may require data validation? 2.What rules can I establish to identify incorrect data? 3.Is this rule accurate 100% of the time? 4.What should my error message be? Data Validation Decisions

21 Data Validation Error Message

22 Data Validation First, select data range.

23 Enrollment Data Validation Example ACIS 1504 is usually capped at 2 sections of 500 per semester. Sometimes a few extra students are added to a section but that is rare. Apply data validation to the Enrollment worksheet to limit the entry a erroneous enrollment figures. Apply data validation to the Grades worksheet to ensure that each student is entered as a Freshman, Sophomore, Junior or Senior.

24 Hotel Data Validation Example Add Data Validation to the Nashville Hotels worksheet to ensure that a reasonable value is entered for the ROOMS field. Limit the PRICE field to the following entries: Budget, Economy, Midprice, Upscale, Luxury.

25 Segment D: Worksheet Protection

26 Restricts entry into cells containing headings and calculations.

27 1.Which cells require protection? 2.Which cells need to be unlocked? Worksheet Protection Decisions

28 Worksheet Protection Error Message

29 Worksheet Protection (Step 1)

30 Worksheet Protection (Step 2)

31 Enrollment Protection Example Setup the Enrollment worksheet so that only enrollment figures can be modified.

32 Hotel Protection Example Select Sheet 2 of the Nashville Hotels workbook. Assume that you may want to add new hotel information in the future. You may want to add another property to an existing hotel entry or you may need to add a completely new chain. Setup worksheet protection.


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