Welcome to the webinar on

The Art & technique of Data

Visualization

Presented by

&
This webinar aims to cover the following

1

Why BI projects fail?

2

What is Data Visualization?

3

Who needs Data Visu...
Why BI projects fail?
Data Visualization - Defined
Data Visualization is the art and technique of representing data in a graphical and pictorial...
Data Visualization Eco-System
Business
Users

IT
Executives

Decision
Making

Operational
Efficiencies

Regulators
Who nee...
Primary users of Data Visualization
77% are
Business executives and management

58%

are
Business Analysts

55% are
Depart...
Who in your organization develops & deploys Visualization?
The gap is fast reducing.. Thanks to the
New self-service and p...
Components

Our 3D Framework

Principles
Enablers

BUSINESS KNOWLEDGE

Data Accuracy

Visual Querying

Multidimensional

P...
You’ve got to start with the customer
experience and work back toward the
technology – not the other way around
STEVE JOBS
Know your audience

Best Practices

Conduct business workshops to finalize the
requirements document
Make sure you underst...
How not to do it – CEO Dashboard for a manufacturing co.

Is this for the CEO or Production head?
How best can it be done – CEO Dashboard for a manufacturing co.
One more way to do it..

KPI Map
Highlight

Recommendations

Color : Contrast

Position

Length

Color : Intensity

Motion

Width

Alert

Challenges

Limit...
Demo – (Alerts)
Disbursement Dashboard
Visual Querying

Best Practices

Information relevance

Sequence of clicks
Challenges
Present the Metadata
How many drill-...
Demo – Excel Illustration
Demo – NPA Analysis
Personalization
Personalization
Personalization
Personalization
Choosing the right visualization: few examples
Visualization Type

Description

Chart Type

Comparison

Many Items

Horizo...
Repository of best practices
Avoid Scroll bar as far as possible
Facilitate definition of the visualization
Convert decima...
Interested in knowing more?
Interested in knowing more about our 3D Framework for Data Visualization
& how it can add valu...
Let’s hear it from you
The art  technique of data visualization
The art  technique of data visualization
The art  technique of data visualization
Upcoming SlideShare
Loading in …5
×

The art technique of data visualization

1,030
-1

Published on

Decision making based on information has been the single most important objective of a data warehousing or big data pursuit. No matter how big, fast and varied data are generated and processed; decision makers are only concerned with the consumption of its end result – data visualization.

Data visualization simply means representing data in a visually appealing manner to enable understanding of the context in which we operate. Data visualization is a “moment of truth” that stems from a data management initiative. It is a very linear process of decision making; and hence, critical to its success. However, data visualizations also possess the potential to put an end to such initiatives; especially, when they are either heavily biased on just the design or contain information overload.

This webinar on the art and technique of data visualization focuses sharply on the one thing that matters most to qualify for effective data visualization: the truth that comes out from data. We have facilitated the discussion with the help of our 3D framework: Design, Discovery & Data.
After registering, you will receive a confirmation email containing information about joining the webinar.

Published in: Technology, Education
0 Comments
2 Likes
Statistics
Notes
  • Be the first to comment

No Downloads
Views
Total Views
1,030
On Slideshare
0
From Embeds
0
Number of Embeds
3
Actions
Shares
0
Downloads
49
Comments
0
Likes
2
Embeds 0
No embeds

No notes for slide

The art technique of data visualization

  1. 1. Welcome to the webinar on The Art & technique of Data Visualization Presented by &
  2. 2. This webinar aims to cover the following 1 Why BI projects fail? 2 What is Data Visualization? 3 Who needs Data Visualization? 4 The 3D Framework 5 Lets hear it from you
  3. 3. Why BI projects fail?
  4. 4. Data Visualization - Defined Data Visualization is the art and technique of representing data in a graphical and pictorial format It is the moment of truth resulting from any DWH / Big Data initiatives Why is it important? Human Brains Are equipped to perceive meaningful patterns, outliers, and structures to form a judgment. Decision Making No 1 priority : support decision making. Adding value to the volume, variety and velocity of data that is generated and processed. Communication Inform : What & Why Educate : What If, What Next & What Can Collaborate : Who, What Else & How Exactly.
  5. 5. Data Visualization Eco-System Business Users IT Executives Decision Making Operational Efficiencies Regulators Who needs Data Visualization Why? Regulatory Compliance Customers Suppliers Monetize existing data Mind Share Analysts Progress in value chain
  6. 6. Primary users of Data Visualization 77% are Business executives and management 58% are Business Analysts 55% are Departmental Managers 38% IT Executives 37% Data Analysts or Scientists 24% 25% Operations / SCM Front line employees 14% Customers 8% Partners & Suppliers TDWI research : Based on answers from 388 respondents
  7. 7. Who in your organization develops & deploys Visualization? The gap is fast reducing.. Thanks to the New self-service and personalization Technologies. Business executives are the largest Consumers of Data Visualization This era is characterized by business analyst / users making and also consuming their own data through visualizations.. Can the IT developers make themselves more relevant? TDWI research : Based on answers from 388 respondents
  8. 8. Components Our 3D Framework Principles Enablers BUSINESS KNOWLEDGE Data Accuracy Visual Querying Multidimensional Personalization DESIGN Know your audience Personalization Collaboration DISCOVERY Keep it simple Highlight DATA VISUALIZATION PRODUCTS INFORMATION DELIVERY METHODS DATA
  9. 9. You’ve got to start with the customer experience and work back toward the technology – not the other way around STEVE JOBS
  10. 10. Know your audience Best Practices Conduct business workshops to finalize the requirements document Make sure you understood the data that is required Challenges Get a sign off first on the design and layout Lack of participation from business users Break it down to individual parts / graphs / quadrants and take a sign off Low / No awareness about the business or domain Data Visualization created in silos
  11. 11. How not to do it – CEO Dashboard for a manufacturing co. Is this for the CEO or Production head?
  12. 12. How best can it be done – CEO Dashboard for a manufacturing co.
  13. 13. One more way to do it.. KPI Map
  14. 14. Highlight Recommendations Color : Contrast Position Length Color : Intensity Motion Width Alert Challenges Limited space for utilization Limited or Excess data to show Size Harvey Balls Shape
  15. 15. Demo – (Alerts) Disbursement Dashboard
  16. 16. Visual Querying Best Practices Information relevance Sequence of clicks Challenges Present the Metadata How many drill-downs? Parent child relationship How to showcase correlations? How to avoid information chaos?
  17. 17. Demo – Excel Illustration
  18. 18. Demo – NPA Analysis
  19. 19. Personalization
  20. 20. Personalization
  21. 21. Personalization
  22. 22. Personalization
  23. 23. Choosing the right visualization: few examples Visualization Type Description Chart Type Comparison Many Items Horizontal Bar Chart Comparison Over time: Many periods Circular Area Chart Comparison Few Periods: Many Categories Line Chart Relationship Two Variables Scatter Chart Relationship Two + Variables Bubble Chart Distribution Few Data Points Column Histogram Three Variables 3D Area Chart Composition Few periods: Changing over time Stacked column chart Composition Static: simple share Pie Chart Composition Universe of content Tree Map Distribution
  24. 24. Repository of best practices Avoid Scroll bar as far as possible Facilitate definition of the visualization Convert decimal points to a perfect integer Make navigation really easy for the end user All axes should be properly labelled Good idea to show data quality % in the visualization Avoid using special characters or short forms for labels While displaying bar charts, order data in descending order
  25. 25. Interested in knowing more? Interested in knowing more about our 3D Framework for Data Visualization & how it can add value to your clients? Then, our dedicated training workshops on the “The Art & Technique of Data Visualization” is the best forum to learn more practical and industry accepted methods on improving data visualization. Contact: info@ellicium.com info@compulinkacademy.com Stay tuned for our next webinar on “Text Analytics”
  26. 26. Let’s hear it from you
  1. A particular slide catching your eye?

    Clipping is a handy way to collect important slides you want to go back to later.

×