Data Visualization Tools for Business Intelligence

1. Interactive Data Visualization Tools
Combo, Jasmine Peniel P.
BSCS 4-3

2. INTERACTIVE DATA VISUALIZATION TOOLS FOR BUSINESS INTELLIGENCE

3. What is Business Intelligence (B.I.)?
• Business intelligence (BI) is a technology-driven process which
aims at collecting and analyzing data to extract actionable
insights.

4. Why do we use Interactive Data Visualization in B.I.?
• Interactive Data Visualization allows wider exploration of
analyzed data.

5. Relationships between Car Engines and the Amount of Cylinders

6. Power BI
• A cloud-based suite of business intelligence tools released by
Microsoft in September 2013.

7. Power BI - Interface

8. Power BI - Features
• POWER BI has ‘Content Packs’
or pre-build connectors which
allow users to analyze data
from different sources.

9. Power BI - Features
• Microsoft made POWER BI
Open Source which allows
users to develop and add new
custom visualizations.

10. Power BI - Features
• POWER BI can provide quick insights on data. Power BI runs
analytics in the background on the selected dataset.

11. Power BI - Features
• POWER BI has a ‘Q&A’ feature where the user can type in
questions and automatically get ready visualizations of data.

12. Tableau
• leads the industry in data visualization software. It has the
ability to produce interactive visualizations far beyond general
BI solutions.

13. “seeing and exploring” data
interactive visualizations

14. Tableau - Interface

15. Tableau - Dashboard

16. PROs of using Tableau
• The entire interface is based on drag and drop. No coding is
required at all.
• It can create interactive visualizations and reports in a matter
of minutes.
• It has the ability to blend data sets and collaborate in real-
time.
• It is rich in data visualization capabilities.

17. CONs of using Tableau
• It does not provide feature to search content across all your
data.
• The process of pulling out data can be quite long.

18. QlikView
• QlikView is highly adaptable and provides wide-ranging deep
analytics. It is Tableau’s biggest competitor.

19. PROs of using QlikView
• It has search options. Type any word in any order into search
box, and it will show connections and relationships across the
data.
• It integrates with a very broad range of data sources.
• It has the capability to perform data warehousing.
• It costs lower compared to tableau; and comes with a free
personal edition.
• Users can dive into the code and experiment with models.

20. CONs of using QlikView
• Its structure can be overwhelming with lots of tabs making it
difficult to manage and understand the tool in first go.

21. Which B.I. tool to use?

22. LATEST TOOLS FOR DATA VISUALIZATION

23. Innovations in Data Visualization Tools
• TABLEAU will be introducing a new visualization type in 2018:
Heat Map.

24. Innovations in Data Visualization Tools
• TABLEAU adds new feature, ‘Viz’ in Tooltip to allow users to
maximize their dashboard real estate and engage with data at
a deeper level.

25. Innovations in Data Visualization Tools
• TABLEAU will also launch a new grid view to allow dashboards
to be designed easily and faster.

26. Visualization Tool for Machine Learning
• FACETS is an open source visualization tool for machine
learning released by Google in 2017.
• Facets has two visualizations:
– Facets Overview
– Facets Dive

27. Facets Overview
• Facets Overview automatically gives users a quick understanding of
the distribution of values across the features of their datasets.

28. UCI Census Dataset

29. Facets Dive
• Facets Dive provides an easy-to-customize, intuitive interface
for exploring the relationship between the data points across
the different features of a dataset.

30. UCI Census Dataset

31. CIFAR-10 Dataset

32. Thank you