business intelligence
yeshwanth reddy
BIppt.pptx
BUSINESS INTELLIGENCE ITS-531-40/41 DATA VISUALIZATION
Presented by
Group 5
SHYLAJA KAMINENI(Group Leader)
SATHYA KAPAGANTHU(Asst Group Leader)
USHASRI KANDAGATLA
YESHWANTH REDDY KASIREDDY
BHASKAR BALSHETTY JORIGAL
To
DR. ABBEY ADELEKE
UNIVERSITY OF CUMBERLANDS
03/07/2020
OBJECTIVES
At the end of this presentation, you will know:
Introduction to Data Visualization
Why is it needed ?
Historical roots of Data Visualization
BI Tools available for Data Visualization
Examples of visual representation of data
Conclusion
References
Questions & Answer
Introduction to Data Visualization
Data Visualization is a practice to translate data into a visual format (graph, chart or map)
It grows exponentially and provide a valuable insight into Past, Present and Future
It help an organization to identify Sales trends, Market Conditions, Customer Data and Business Problems to make effective decisions
Why is it needed?
Easier to plot and understand
Louder and clearer
Time efficient
Better understanding of business operations
Vector stock company (Ex: Shutterstock)
Improvement in finding information is boosted by up to 28 %
Why is it needed ? (cont.)
Historical roots of Data Visualization
The Visual Display of Quantitative Information is used today in university courses for data visualization and statistical analysis
Michael Florent Van Langren is the first person to see visual representation of statistical data for data visualization
In 17th century, data visualization existed in the maps, displaying land markers, cities, roads, and resources
The idea of data visualization kept the advent of computers and rapid growth of technologies
BI Tools Available for Data Visualization
Examples of visual representation of data
Conclusion
Data Visualization is about using graphics to reveal information for decision making
Data visualization tools (software) have become an essential item in the business analytics toolset
Graphical representations of data are easier to understand than text data
The statistical graphics and data visualization as relatively modern developments in statistics.
Tableau is one of the best tool available today for Data Visualization.
References
Aguilar, A. A. (2018). A Python Implementation for Discriminative Multivariate Data Visualization Using a Grand Tour of Manifold Learning Nonlinear Methods. NJ.
Huang, M. (2013). Innovative Approaches of Data Visualization and Visual Analytics. Hershey, PA: IGI Global.
Kirk, A. (2012). Data Visualization: A Successful Design Process. Birmingham, NJ: Packt Publishing. ISBN 13: 978-1-84969-346-2
Knaflic, C. N. (2015). Storytelling with Data: A Data Visualization Guide for Business Professionals. Hoboken, NJ: John Wiley & Sons.
Rocha, H. D. (2019). Learn Chart.js: Create interactive visualizations for the Web with Chart.js 2. Birmingham, NJ: Packt Publishing.
Staley, D. J. (2013). Computers, Visualization, and History: How New Technology Will Transform Our Understanding of the Past. Armonk, NY: M.E. Sharpe.
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