BUSINESS PROBLEM SOLVING, TABLEAU AND STORY TELLING

Paper Code:

MBB425

Credits:

Contact Hours:

60.00

Max. Marks:

100.00

Objective:

The course will enable students to proficiently use Tableau for data visualization, analysis, and storytelling, enhancing communication and decision-making capabilities in business intelligence contexts.

Course Outcomes:

Course

Learning outcome

(at course level)

Learning and teaching

strategies

Assessment Strategies

Course Code

Course Title

24MBB425

Business Problem Solving, Tableau And Story Telling

(Practical)

CO749: Select the data visualization methods to provide analysis of business problems like HR management and market trend.

CO750: Create static charts, interactive dashboards and data stories and will analyze datasets visually using Tableau

CO751: Detect and frame the stories within business datasets.

CO752: Extract insights from that data using Tableau

CO753: Apply best practices in data visualization methods and will identify the right chart type for the particular situation in Tableau.

CO754: Contribute effectively in course-specific interaction

Approach in teaching: Interactive Lectures, Group Discussion, Tutorials, Case Study

Learning activities for the students: Self-learning assignments, presentations

Class test, Semester endexaminations, Quiz, Assignments, Presentation

12.00

Unit I:

Introduction to Data and Business Intelligence

Introduction to Data and Business Intelligence
Why we visualize data, how to ask questions of data, communication and S.M.A.R.T., known your stakeholders, Listening to stakeholders during elicitation, Business Intelligence(BI) – Introduction, Significance & Tools, Analysis and type of analysis: descriptive, diagnostic, predictive and prescriptive. Structure pyramid analysis plan (SPAP), what makes a good, rich dataset for analysis and visualization, how to find datasets on Open Data portals.

Unit II:

Tableau and Basic Data Analysis in Tableau

Tableau and Basic Data Analysis in Tableau
Introduction to Tableau, Evaluation of Tableau, Tableau Architecture and Installation of Tableau. Data analysis and data communication with Tableau. Tableau public and desktop. Knowing Your Data, importing data, the “Data Visualization Process”, table view, Dashboard, Tableau Basics: Dimensions, Measures, Tableau Workspace, cards and shelves, marks card, formatting how to analyze structured data using Tableau, exporting data.

12.00

Unit III:

Creating Static Charts in Tableau

Creating Static Charts in Tableau
How to create simple static charts in Tableau , selecting appropriate chart, bar charts, line charts, bubble charts, scatter charts ,tree maps, stacked bar charts, bulleted charts and histogram Visualizing locations and time ,How to save and publish your data in Tableau
,How to export charts from Tableau for use in PowerPoint and Word, reshape data using Tableau. Preparing elevator pitch

12.00

Unit IV:

Creating Dynamic Charts in Tableau

Creating Dynamic Charts in Tableau:
“Measure Names” and “Measure Values” in Tableau, Measures: sum, average, median, minimum, maximum, standard deviation and variance, removing outliers, Filters and groups, data hierarchies, trend lines, box plot and regression. Calculations in Tableau, blending and aggregation level calculations, enabling flexibility in KPI. Creating Maps: point maps, shape maps and customize boundary maps.

12.00

Unit V:

Story Telling using Tableau

Story Telling using Tableau: Exploratory vs. explanatory, who, what and how, big idea and storyboarding, storyboarding hourglass, cluttering, gestalt principles of visual perception, and lack of visual order, Magic of story, constructing the story, narrative structure, tactics to ensure the clarity in story, story creation using tableau, story points and tools for data story, stress-testing the story.

*Case studies related to entire topics are to be taught.

Essential Readings:

Cole Nussbaumer Knaflic, ”Storytelling with Data: A Data Visualization Guide for Business Professionals”, Wiley,2015.

 Daniel G. Murray,"Tableau Your Data!: Fast and Easy Visual Analysis with Tableau Software", Wiley,2016.

Nathan Yau," Data Points", Wiley,2013.

Lindy Ryan,"Visual Data Storytelling with Tableau ", Pearson Addison-Wesley Data & Analytics,2012.

Jose Berengueres , Ali Fenwick and Marybeth Sandell ,"Introduction to Data Visualization & Storytelling: A Guide For The Data Scientist " , Stokes-Hamilton (29 July 2019)

References:

Suggested readings

Lindy Ryan,"Visual Data Storytelling with Tableau ", Pearson Addison-Wesley Data & Analytics,2012.

Jose Berengueres , Ali Fenwick and Marybeth Sandell ,"Introduction to Data Visualization & Storytelling: A Guide For The Data Scientist " , Stokes-Hamilton (29 July 2019)

E resources

https://www.tableau.com/

https://alison.com/tag/storytelling https://www.mygreatlearning.com/academy/learn-for-free/courses/data- visualization-using-tableau

JOURNALS:

●https://vciba.springeropen.com/

●https://appliednetsci.springeropen.com/ https://epjdatascience.springeropen.com/

Academic Year:

2024-2025