Unlock Value from Data Visualizations

Information about Unlock Value from Data Visualizations

Published on July 22, 2014

Author: ShaunMichalew

Source: authorstream.com

Content

How to Unlock Value in Data Using Data Visualizations[#VIZ]: How to Unlock Value in Data Using Data Visualizations [#VIZ] Chaitanya Sagar “CS” [email protected] 646.583.0001 PowerPoint Presentation: Data Analytics Spreadsheet Solutions | 2 New York Hyderabad San Bruno Boston PowerPoint Presentation: Analytics Spreadsheet S olutions 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 Consumer Packaged Goods Retail Healthcare Our Services 3 PowerPoint Presentation: Analytics Spreadsheet S olutions Our Services 4 Spreadsheet Applications Contract Negotiation Litigation Modeling Decision Support Tools Dashboards Reporting Simulations Financial Modeling Location Strategy to Improve Effectiveness of a Branch Network: Location Strategy to Improve Effectiveness of a Branch Network perceptive-analytics.com/tag/case-study / Reinventing Coupons: Strategies for Successful Coupon Campaign: Reinventing Coupons: Strategies for Successful Coupon Campaign perceptive-analytics.com/tag/case-study / PowerPoint Presentation: Kina, Inc. is a hi-tech company based in S ilicon 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? Questions?: Questions? Use ask-a-question feature in GoToWebinar [email protected] 646.583.0001 #VIZ 8 Which industry do you work in?: Which industry do you work in? Retail and Consumer Packaged Goods Health Care Banking , Financial Services and Insurance Information Technology / Consulting/Others [email protected] 646.583.0001 #VIZ 9 Which Function Do You Work In?: Which Function Do You Work In? Analytics BI Sales and Marketing IT Finance/Operations / Human Resources [email protected] 646.583.0001 #VIZ 10 Overview: Overview Pic  y Horia Varlan [email protected] 646.583.0001 #VIZ 11 The need for visualizations How visualizations help unlock v alue How to build visualizations -Purpose -Design Tools Q&A The Need for Visualizations: The Need for Visualizations [email protected] 646.583.0001 #VIZ Our Needs Outgrew Charts: Our Needs Outgrew Charts More data! high dimensional ˠ [email protected] 646.583.0001 #VIZ Humans are Visual: Humans are Visual Brain can absorb large amounts of information and find patterns (and deviations!) Pic by   Dan Foy [email protected] 646.583.0001 #VIZ PowerPoint Presentation: ● “Mind is a Pattern-Matching Machine”: “Mind is a Pattern-Matching Machine” Edward De Bono Mechanism of the Mind (1969) [email protected] 646.583.0001 #VIZ PowerPoint Presentation: [email protected] 646.583.0001 #VIZ Anscombe’s Quartet: Anscombe’s Quartet How are the Data Sets Different?: How are the Data Sets Different? All four data sets are identical Distribution is different Median and Mode could be different Not Sure [email protected] 646.583.0001 #VIZ Statistics May Hide Something: Statistics May Hide Something [email protected] 646.583.0001 #VIZ Statistics and bikinis show a lot, but not everything. : Statistics and bikinis show a lot, but not everything. Toby Harrah American baseball player [email protected] 646.583.0001 #VIZ Where do Data Visualizations Fit in Data Analytics Process?: Where do Data Visualizations Fit in Data Analytics Process? [email protected] 646.583.0001 #VIZ PowerPoint Presentation: Where does Data Visualization Fit in Data Analytics Process? [email protected] 646.583.0001 #VIZ How Visualizations Help Unlock Value: How Visualizations Help Unlock Value [email protected] 646.583.0001 #VIZ Make Sense of Vast Data Quickly: Make Sense of Vast Data Quickly [email protected] 646.583.0001 #VIZ Make Sense of Vast Data Quickly: Make Sense of Vast Data Quickly [email protected] 646.583.0001 #VIZ Elicit Questions You Did Not Ask Before: Elicit Questions You Did Not Ask Before [email protected] 646.583.0001 #VIZ PowerPoint Presentation: What should we do to make India a land of equal opportunity for all, free of prejudice and discrimination ? - Ratan Tata [email protected] 646.583.0001 #VIZ Sample Responses: Sample Responses @ RNTata2000 in all democracies there is a gap on what ple want and what politicians r delivering,they r not doing the right thing, lobbying? @ 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. @ dharmeshsharma8 @ RNTata2000 Could we have your view on this topic? [email protected] 646.583.0001 #VIZ Elicit Questions You Did Not Ask Before: Elicit Questions You Did Not Ask Before [email protected] 646.583.0001 #VIZ Discover New Data Relationships: Discover New Data Relationships [email protected] 646.583.0001 #VIZ Discover New Data Relationships: Discover New Data Relationships [email protected] 646.583.0001 #VIZ Show Others What You See: Show Others What You See [email protected] 646.583.0001 #VIZ Show Others What You See: Show Others What You See http:// guns.periscopic.com How to Create Visualizations: How to Create Visualizations [email protected] 646.583.0001 #VIZ PowerPoint Presentation: Data Analyst Tool Insights [email protected] 646.583.0001 #VIZ PowerPoint Presentation: Data Analyst Tool Domain / Situation Imagination [email protected] 646.583.0001 #VIZ PowerPoint Presentation: Purpose Design [email protected] 646.583.0001 #VIZ 45 Purpose: Purpose Pic by  Mervi Eskelinen Tasks Audience Answers [email protected] 646.583.0001 #VIZ 46 Guidelines: Guidelines 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” What questions do you want answered? [email protected] 646.583.0001 #VIZ Design: Design [email protected] 646.583.0001 #VIZ Pic: Ecotrust Canada 48 Visual Encoding: Visual Encoding [email protected] 646.583.0001 #VIZ PowerPoint Presentation: [email protected] 646.583.0001 #VIZ PowerPoint Presentation: What Do Y ou Think About This Chart? [email protected] 646.583.0001 #VIZ What’s Wrong with this Chart?: What’s Wrong with this Chart? Too Big Poor colors Nothing wrong, looks good It’s just wrong No comment [email protected] 646.583.0001 #VIZ 53 PowerPoint Presentation: RIM Apple Palm Motorola Nokia Other Edward Tufte: Edward Tufte [email protected] 646.583.0001 #VIZ PowerPoint Presentation: Thousands Thousands Avoid Chart Junk: Avoid Chart Junk Thousands Avoid Chart Junk: Avoid Chart Junk Thousands Maximize Data Ink Ratio Data-ink/Total ink used: Maximize Data Ink Ratio Data-ink/Total ink used Maximize Data Density (# entries in data matrix)/(area of graphic) Colors: Colors [email protected] 646.583.0001 #VIZ 60 Colors: Colors [email protected] 646.583.0001 #VIZ 61 Create Color Harmony Ideas for Color Harmony: [email protected] 646.583.0001 #VIZ 62 Analogous Complementary Ideas for Color Harmony ColorBrewer2.org: ColorBrewer2.org PowerPoint Presentation: 21 colors! [email protected] 646.583.0001 #VIZ Tools: Tools [email protected] 646.583.0001 #VIZ PowerPoint Presentation: [email protected] 646.583.0001 #VIZ PowerPoint Presentation: [email protected] 646.583.0001 #VIZ Resources : Resources Designing Data Visualizations (Noah Iliinsky , Julie Steele ) Visual Encoding complexdiagrams.com/properties richardbrath.wordpress.com Edward Tufte edwardtufte.com D3JS.org Processing.org Principles of Visualization Design D3 Visualizations [email protected] 646.583.0001 #VIZ Q&A: Q&A [email protected] 646.583.0001 #VIZ Your Feedback on this Webinar: Your Feedback on this Webinar Below Expectations Met Expectations Above Expectations [email protected] 646.583.0001 #VIZ 70 PowerPoint Presentation: Thank you! 71 [email protected] +1.646.583.0001

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