How to Unlock Value in Analytics Using Data Visualization?

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Conveying meaning in data quickly is the focal point of analytics. Visual analytics helps you discover new relationships in data, prompts you to ask new questions, and helps you convey what you see to others. • Understand how to make sense of vast data quickly • Elicit questions you did not ask before • Using visualizations to discover new data relationships • Learn how data visualization can help identify hidden insights in data • Explore various visualizations hand-picked by experts

Transcript of How to Unlock Value in Analytics Using Data Visualization?

  • How to Unlock Value in Data Using Data Visualizations[#VIZ] Chaitanya Sagar CS [email protected] 646.583.0001
  • Data Analytics Spreadsheet Solutions| 2 New York HyderabadSan Bruno Boston
  • 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 Consumer Packaged Goods Retail Healthcare Our Services 3
  • Analytics Spreadsheet Solutions 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 perceptive-analytics.com/tag/case-study/
  • Reinventing Coupons: Strategies for Successful Coupon Campaign perceptive-analytics.com/tag/case-study/
  • Questions? Use ask-a-question feature in GoToWebinar [email protected] 646.583.0001 #VIZ 8
  • 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? Analytics BI Sales and Marketing IT Finance/Operations / Human Resources [email protected] 646.583.0001 #VIZ 10
  • Overview PicyHoriaVarlan [email protected] 646.583.0001 #VIZ 11 The need for visualizations How visualizations help unlock value How to build visualizations -Purpose -Design Tools Q&A
  • The Need for Visualizations [email protected] 646.583.0001 #VIZ
  • Our Needs Outgrew Charts More data! high dimensional [email protected] 646.583.0001 #VIZ
  • Humans are Visual Brain can absorb large amounts of information and find patterns (and deviations!) PicbyDanFoy [email protected] 646.583.0001 #VIZ
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  • Mind is a Pattern-Matching Machine Edward De Bono Mechanism of the Mind (1969) [email protected] 646.583.0001 #VIZ
  • [email protected] 646.583.0001 #VIZ
  • 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 Anscombes Quartet
  • 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 [email protected] 646.583.0001 #VIZ
  • 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? [email protected] 646.583.0001 #VIZ
  • Acquire Data Clean Data Explore Data Data Modeling Insights Communicate Where does Data Visualization Fit in Data Analytics Process? [email protected] 646.583.0001 #VIZ
  • How Visualizations Help Unlock Value [email protected] 646.583.0001 #VIZ
  • Make Sense of Vast Data Quickly [email protected] 646.583.0001 #VIZ
  • Make Sense of Vast Data Quickly [email protected] 646.583.0001 #VIZ
  • Elicit Questions You Did Not Ask Before [email protected] 646.583.0001 #VIZ
  • 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 @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 [email protected] 646.583.0001 #VIZ
  • Discover New Data Relationships [email protected] 646.583.0001 #VIZ
  • Discover New Data Relationships [email protected] 646.583.0001 #VIZ
  • Show Others What You See [email protected] 646.583.0001 #VIZ
  • Show Others What You See http://guns.periscopic.com
  • How to Create Visualizations [email protected] 646.583.0001 #VIZ
  • Data Analyst Tool Insights [email protected] 646.583.0001 #VIZ
  • Data Analyst Tool Domain / Situation Imagination [email protected] 646.583.0001 #VIZ
  • Purpose Design [email protected] 646.583.0001 #VIZ 45
  • Purpose PicbyMerviEskelinen TasksAudience Answers [email protected] 646.583.0001 #VIZ 46
  • 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 [email protected] 646.583.0001 #VIZ 48
  • Visual Encoding [email protected] 646.583.0001 #VIZ
  • [email protected] 646.583.0001 #VIZ