Perceptive Analytics Unlock Value from Data Visualizations - Informs'14 Boston

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How to Unlock Value in Data Using Data Visualizations [#VIZ] Chaitanya Sagar “CS” [email protected] 646.583.0001

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Transcript of Perceptive Analytics Unlock Value from Data Visualizations - Informs'14 Boston

Page 1: Perceptive Analytics Unlock Value from Data Visualizations - Informs'14 Boston

How to Unlock Value in Data Using

Data Visualizations [#VIZ]

Chaitanya Sagar “CS” [email protected] 646.583.0001

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Data Analytics Spreadsheet Solutions |

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New York Hyderabad San Bruno Boston

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Analytics Spreadsheet

Solutions

Our Services

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Spreadsheet Applications Contract Negotiation Litigation Modeling Decision Support Tools

Dashboards Reporting Simulations Financial Modeling

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Analytics Spreadsheet

Solutions

Data Visualizations Marketing Marketing Mix Modeling Price Promotion Analysis Catalogue Optimization Segmentation Web Analytics Churn Analysis

Risk Management Credit Risk Management Liquidity Risk Management Capital Allocation Analysis Collateral Management Fraud Detection

Supply Chain Inventory Optimization Demand Analytics Distribution Network Optimization Sourcing Analytics Freight Lane Analytics

Verticals Banking, Financial Services and Insurance Consumer Packaged Goods Retail

Our Services

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Location Strategy to Improve Effectiveness of a Branch Network

perceptive-analytics.com/tag/case-study/

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Reinventing Coupons: Strategies for Successful Coupon Campaign

perceptive-analytics.com/tag/case-study/

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Data Visualizations

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Kina, Inc. is a hi-tech company based in Silicon valley. The company’s operations were growing and wanted to track the cash flows in end-to-end business process. The CFO of the company wanted to project future cash requirements.

A comprehensive financial model which integrated the working of different departments was built. The model performed scenario analysis at various levels of sales and inventory investments to estimate the cash requirement. This model was presented to the executive board of XYZ, Inc.

Financial Forecasting Tool for a Silicon Valley Startup

Cash Position Is the company investing

or accruing cash?

Net Margin Is business profitable?

Net Sales How fast are

revenues increasing?

Avg. Selling Price Is the average sales price picking

up?

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Overview

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The need for visualizations

How visualizations help unlock value

How to build visualizations

-Purpose

-Design

Tools

Q&A

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Which Industry Do You Work In?

• Banking, Financial Services and Insurance

• Management Consulting

• Retail and CPG

• Information Technology

• Others

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Which Function Do You Work In?

• Analytics / BI

• Sales and Marketing

• Operations / Human Resources

• Finance

• IT

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The Need for Visualizations

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Our Needs Outgrew Charts

More data!

high dimensional

ˠ

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Humans are Visual

Brain can absorb large amounts of information and find patterns (and deviations!) P

ic b

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an F

oy

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X X X X X X X X X

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“Mind is a Pattern-Matching Machine”

Edward De Bono Mechanism of the Mind (1969)

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x y x y x y x y

10 8.04 10 9.14 10 7.46 8 6.58

8 6.95 8 8.14 8 6.77 8 5.76

13 7.58 13 8.74 13 12.74 8 7.71

9 8.81 9 8.77 9 7.11 8 8.84

11 8.33 11 9.26 11 7.81 8 8.47

14 9.96 14 8.1 14 8.84 8 7.04

6 7.24 6 6.13 6 6.08 8 5.25

4 4.26 4 3.1 4 5.39 19 12.5

12 10.84 12 9.13 12 8.15 8 5.56

7 4.82 7 7.26 7 6.42 8 7.91

5 5.68 5 4.74 5 5.73 8 6.89

Mean 9 7.5 9 7.5 9 7.5 9 7.5

Variance 11 4.122 11 4.122 11 4.122 11 4.122

Correlation

Linear Regression y = 3.00 + 0.500x y = 3.00 + 0.500x y = 3.00 + 0.500x y = 3.00 + 0.500x

Anscombe's Quartet

I II III IV

0.816 0.816 0.816 0.816

Anscombe’s Quartet

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How are the Data Sets Different?

• All four data sets are identical

• Distribution could be different

• Median and Mode could be different

• No comment

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Statistics May Hide Something

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Statistics and bikinis show a lot, but not everything.

- Toby Harrah American baseball player

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Where do Data Visualizations Fit in Data Analytics Process?

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Acquire Data

Clean Data

Explore Data

Data

Modeling

Insights

Communicate

Where does Data Visualization Fit in Data Analytics Process?

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How Visualizations Help Unlock Value

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Make Sense of Vast Data Quickly

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Make Sense of Vast Data Quickly

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Elicit Questions You Did Not Ask Before

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What should we do to make India a land of equal opportunity for all, free of prejudice and discrimination?

- Ratan Tata

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Sample Responses

• @amitagarwal08 @RNTata2000 what can a common.man do to change india..it all depends on government n big people like u sir with gr8 respect..

• @bangaarm @RNTata2000 Budget 2012: This year is Tax Holiday. No income tax on your earnings. This is to bring back all the black money to India

• @sri_v22 @RNTata2000 1. Kill corruption 2. Electoral reforms so that honest ple can get into politics 3. Media & activists should increase their role

• @joseaaa @RNTata2000 Can't be articulated with 140 characters. Quality education for the masses is magic potion that can address most of the problem.

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Better politics? Corruption?

Family planning?! Fix capitalism Fix Education

Fix legal system

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Elicit Questions You Did Not Ask Before

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Discover New Data Relationships

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Discover New Data Relationships

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Show Others What You See

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Show Others What You See

http://guns.periscopic.com

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How to Create Visualizations

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Data

Analyst

Tool

Insights

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Data

Analyst

Tool

Domain / Situation

Imagination

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Purpose Design

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Purpose

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Tasks Audience Answers

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Process

• Understand your goals

• Determine the most important dimensions of your data

• Determine key data relationships

• Show data close to reality e.g. maps, time lines etc.

• Choose encoding wisely “Function first, suave next”

• Choose colors to communicate well

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Visual Encoding

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Design

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Pic

: Ec

otr

ust

Can

ada

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What Do You Think About This Chart?

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39.0%

19.5%

9.8%

7.4%

3.1%

21.2%

U.S. SmartPhone Marketshare

RIM

Apple

Palm

Motorola

Nokia

Other

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Edward Tufte

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$450

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Tho

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Avoid Chart Junk

$0

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$1,000

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Monthly Revenue

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usa

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Avoid Chart Junk Th

ou

san

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400

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Avoid Chart Junk

$0

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Feb

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Maximize Data Ink Ratio Data-ink/Total ink used

Maximize Data Density (# entries in data matrix)/(area of graphic)

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Colors

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Colors

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Create Color Harmony

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Analogous

Complementary

Ideas for Color Harmony

Use colorbrewer2.org

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ColorBrewer2.org

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21 colors!

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Tools

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Resources

Designing Data Visualizations Visual Encoding complexdiagrams.com/properties richardbrath.wordpress.com Edward Tufte edwardtufte.com D3JS.org Processing.org Principles of Visualization Design

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Q&A

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How to Unlock Value from Your Data with Visualizations

April 16, 2014

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Thank you!

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