Data Visualization for Oracle Business Intelligence 11g. BIWA Summit 2015
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1 Data Visualization for Oracle Business Intelligence 11g BIWA Summit 2015 Tim Vlamis Dan Vlamis Vlamis Software Solutions
2 BIWA SIG Started in summer of 2006 BIWA Summits since 2007, first one near DC, rest in CA BIWA Summit 2015 took place Jan 27-29, 2015 at Oracle HQ Focus on Advanced Analytics, Big Data, BI, DW, EPM, IoT Managed by Volunteer Board Members and Oracle Advisors
3 BIWA Summit 2016, Jan Oracle HQ Conference Center Business Intelligence, Warehousing and Analytics and Spatial IOUG Special Interest Group
4 COLLABORATE 15 IOUG Forum April 12-16, 2015 Mandalay Bay Resort and Casino Las Vegas, NV The IOUG Forum Advantage Save more than $1,000 on education offerings like pre-conference workshops Access the brand-new, specialized IOUG Strategic Leadership Program Priority access to the hands-on labs with Oracle ACE support Advance access to supplemental session material and presentations Special IOUG activities with no "ante in" needed - evening networking opportunities and more Follow us on Twitter or follow the conference hashtag #C15LV!
5 Copyright 2015, Vlamis Software Solutions, Inc. Vlamis Software Solutions Vlamis Software founded in 1992 in Kansas City, Missouri Oracle Gold Partner, Oracle University Partner Developed more than 200 Oracle BI systems Specializes in ORACLE-based: Business Intelligence Data Warehousing Data Mining and Predictive Analytics Data Visualization Expert presenter at major Oracle conferences Authors of 2015 book Data Visualization for Oracle BI 11g Co-author of book Oracle Essbase & Oracle OLAP (blog, papers, newsletters, services) Beta tester for OBIEE 11g, 12c Conference chair for BIWA Summit 2014, 2015
6 Tim and Dan Vlamis Tim (business analyst and academic guy) 25+ years in business modeling, valuation, and scenario analysis Professional Certified Marketer (PCM) from AMA Active Member of NICO (Northwestern Institute on Complex Systems) Adjunct Professor of Business, Benedictine College MBA Kellogg School of Management (Northwestern University) BA Economics Yale University Dan (OLAP expert and career IT guy) 25+ Years in business intelligence/executive information systems Led development team at IRI Founded Vlamis Software Solutions 20+ years ago in 1993 Author, speaker, Oracle ACE Director BA Computer Science Brown University
7 New Book! Special Thanks to: Paul Carlstroem Philippe Lions Brian Macdonald Jayant Sharma Oracle BI Prod Mgmt Copyright 2014, Vlamis Software Solutions, Inc.
8 Table of Contents 1. Introduction 1 2. Tables Graphs Maps Advanced Visualizations BI Publisher Dashboard Design & Mechanics Dashboard Interactions Scorecard & Strategy Management Mobile Other Visualization Topics General Advice 299 Index 315
9 What to expect in the book Not a how to, more of a what and why to Not every example is perfect Writing process (Tim rough draft, Dan challenge and fix) Color challenge (gray scale versus color) Content challenge (advanced material requires explanation which we didn t have space for) Copyright 2015, Vlamis Software Solutions, Inc.
10 Presentation Agenda Human cognition insights OBIEE demo Table design Best practices When and when not to use Graph design Best practices Use cases for different graph types Questions from audience at all times Copyright 2015, Vlamis Software Solutions, Inc.
11 Many BI Systems Can Create Beautiful Results Many BI Systems Can Create Beautiful Results
12 OBI Operates at a Different Scale OBI Operates at a Different Scale
13 Ingredients Data Quality & Variety Copyright 2014, Vlamis Software Solutions, Inc.
14 Technique Data Processing & Prep Copyright 2014, Vlamis Software Solutions, Inc.
15 Presentation Data Visualization Copyright 2014, Vlamis Software Solutions, Inc.
16 OBIEE Demo Content from Chap 1 Copyright 2014, Vlamis Software Solutions, Inc.
17 Copyright 2015, Vlamis Software Solutions, Inc.
18 Copyright 2015, Vlamis Software Solutions, Inc.
19 Best Practice Focus Best practices are objective guides to what is likely to work best. Visualizations should be guided by: Human cognition Accurate representations of data Preferred message (consciously designed by visualization developer) Visualizations should NOT be guided by: Taste or what looks good to one person Entertain users A desire to fill the white space Copyright 2015, Vlamis Software Solutions, Inc.
20 Copyright 2014, Vlamis Software Solutions, Inc. The Principles of Human Cognition Should Guide BI Dashboard Design
21 Classic Optical Illusions Copyright 2015, Vlamis Software Solutions, Inc.
22 The Spirals are the Same Color Copyright 2010, Vlamis Software Solutions, Inc.
23 Graphs and Tables Graphs and Charts depict visual representations and relationships New Product Market Penetration Month Number Tables show data organized for lookup of specific, precise values or items. Copyright 2015, Vlamis Software Solutions, Inc.
24 Characteristics of Tables Can present data at drastically different scales. Can present very different data types simultaneously. Can repeat and include multiple sets of the same data values. Are extraordinarily dense and include numerous data relationships without direct distortion of the data itself. Tables can present federated data from different sources in a single simultaneous view. Copyright 2014, Vlamis Software Solutions, Inc.
25 Pivot Table Needs Sentence I want to see fact/measure Sales (specifies (specifies cell values) cell values) by dimension Product Type and and dimension Company (defines rows) rows) across dimension Market Segments and dimension (defines (defines columns). columns). Copyright 2015, Vlamis Software Solutions, Inc.
26 Copyright 2015, Vlamis Software Solutions, Inc. Keys to Effective Tables Prefer smaller tables Words are important Enable roll overs for meta data for commonly used tables Write informative titles for tables and column head descriptions Make tables clean and easy to read Eliminate unnecessary gridlines Use space (padding) to create groups of data Left justify text cells and Right justify numerical cells Make numbers easy to read and understand Judiciously use conditional formatting Avoid putting text in color Align the decimal point for numerical cells Use symbols to denote units of measure (%, $, etc.) Enable column and row sorting Avoid scrolling (if possible) Be transparent about data selection
27 Copyright 2015, Vlamis Software Solutions, Inc. 7 Keys to Effective Graphs Do not use 3-D effects. Avoid stop light color palette. Prefer pastel color palettes and avoid bright colors. Eliminate gridlines, drop shadows, and other graphics. Enable interaction for exploration graphs. Prioritize a single message for explanation graphs. Above all else, show the data!
28 Copyright 2015, Vlamis Software Solutions, Inc. Line Graph Qtr 1 Qtr 2 Qtr 3 Qtr 4 Show a pattern or progression over a continuous range. Can be valued within a range to highlight a particular pattern (careful!). Maintain a rectangular shape close to golden proportion. Use scale marker lines and ranges for context.
29 Copyright 2015, Vlamis Software Solutions, Inc. Line Graph Qtr 1 Qtr 2 Qtr 3 Qtr 4 Use darker versions of standard colors. Eliminate grid lines. Use zoom function for detailed line graphs. Choose curved lines to smooth overall shape. Choose stepped lines to emphasize point transitions.
30 Copyright 2015, Vlamis Software Solutions, Inc.
31 Copyright 2015, Vlamis Software Solutions, Inc. Bar Graphs Prod 1 Prod 2 Prod 3 Prod 4 Show nominal data values in comparison to one another. Start with zero. If use a logarithmic scale, clearly notate. Think through sort order carefully.
32 Bar Graphs Prod 1 Prod 2 Prod 3 Prod 4 Add data labels as interactive rollover. Balance colors. If change is most important, graph change. Copyright 2015, Vlamis Software Solutions, Inc.
33 Stacked Bar Chart Prod A Prod B Prod C Prod D Somewhat confusing, not great for representing change. Total is most clearly represented number. Typically stack with largest values on the bottom. Single scale can make for interesting intra-bar comparisons. Copyright 2015, Vlamis Software Solutions, Inc.
34 Pie Charts Prod A Prod B Prod C Prod D Typically used for showing parts of whole by percentage. Not great for piece to piece comparisons. Limit number of pieces. Can be interesting to show lots of pies together if significant differences exist. Stephen Few hates them. Do not use 3-D. C
35 Scatter Plot Shows single data points at the intersection of two values. Often depict a large number of discrete data points (hundreds or thousands). Useful comparisons of two variables. Trend lines are often added. Clearly notate if use logarithmic scale(s). Copyright 2015, Vlamis Software Solutions, Inc.
36 Copyright 2015, Vlamis Software Solutions, Inc. Bubble Chart Special type of scatter plot. Size of bubble is related to a third variable. Color is related to a fourth variable. Reduces number of points that can be depicted. Best for depicting approximate values and comparisons.
37 ColorBrewer2.org Copyright 2014, Vlamis Software Solutions, Inc.
38 i want hue
39 Copyright 2015, Vlamis Software Solutions, Inc. Dashboard Definition A Dashboard is a visual presentation of current summary information needed to manage and guide an organization or activity.
40 BI Dashboards are Different No mechanical systems needed to move indicators. Decisions are not typically made on a secondto-second basis. BI dashboards are not primarily single situation or single person devices. Copyright 2014, Vlamis Software Solutions, Inc.
41 BI Dashboards Role-based. Data selection and filtering are extremely important. Dashboards support evidenced-based decision making. Shared understanding of business situation is a key benefit. Content may be individualized. Design should be standardized. Copyright 2014, Vlamis Software Solutions, Inc.
42 OBIEE Dashboard Overview Designed with columns and sections (containers). Presentation server is often separate from BI server. Dashboards are web-based and are viewed with browsers. HTML, XML, and Java coding skills are useful, but not required. Copyright 2014, Vlamis Software Solutions, Inc.
43 Dashboard Principles Promote user interactivity Prompts View and column selectors Hierarchical column drills Column sorts Guided navigation and action links Promote data transparency Prompts Filter views Narrative views Master detail linking Establish design guidelines for consistency Copyright 2014, Vlamis Software Solutions, Inc.
44 Maps Humans think spatially Types of maps Map best practices Making meaningful maps Built-in data sets HERE (NAVTEQ) data sets and POI data Sources for additional data sets
45 Copyright 2014, Vlamis Software Solutions, Inc. Why Maps are Powerful Maps convey dense, multidimensional relationships in data faster and more intuitively than any other graphical display methodology.
46 When Are Map Views Useful? Visualizing data related to geographic locations. Showing or detecting spatial relationships and patterns. Showing lots of data in a relatively small area. Drilling down from a (map) overview to a detailed report, chart, or graph. When is location important? Can the dimension be plotted on a map? Copyright 2014, Vlamis Software Solutions, Inc.
47 Map View Tips Think about what scale to use. Different map scales will reveal different patterns and insights. Use Variable marker to display two measures on a map at a point size and color. Avoid overlapping shapes too much. Be aware of spatial distortions E.g. Texas is larger than Connecticut. Look at color palette. Copyright 2014, Vlamis Software Solutions, Inc.
48 Copyright 2014, Vlamis Software Solutions, Inc. Map Definitions FEATURE Provide a spatial context: cities, highways, rivers, etc Features of Interest: store location, postal boundaries, pipelines, etc STYLE Define rendering properties for features Can control fill color, border color, line thickness, line style and more THEME Collection of features Typically associated with a spatial geometry layer County/state boundaries, major highways, etc BASEMAP A grouping of themes to create a map Maps can share themes When associating a theme with a map, can specify min scale and max scale (sometimes known as zoom control) MAP Basemap with additional themes overlain
49 Copyright 2014, Vlamis Software Solutions, Inc. Map Interactivity in OBIEE 11g Display BI data on top of maps Color fill FOI point display Interact with other Dashboard Elements Drive map content with dashboard prompts Drive map content through drilling and navigation Drive other dashboard elements through map interactions Reveal additional information on maps through mouseovers Drill to map detail
50 Map View Formats Color Fill (choropleth) Percentile, Value, Continuous binning Dashboard user run-time slider Graphs Bar, Pie Adjustable graph size Series by second dimension Bubble (variable sized) Min-Max size specification Color specification Variable Shape Circle, Triangle, Diamond Customizable Image Imported via MapViewer More can be added from MapBuilder Custom Point Layer Uses Lat / Long Does not require a Layer Def Copyright 2014, Vlamis Software Solutions, Inc.
51 Trellis Charts Trellis Layout of Smaller Charts in a grid with Consistent Scales Great for finding structures / patterns in complex data Use 2D Layout to View Multidimensional Data (like a timeline mental animation) Copyright 2014, Vlamis Software Solutions, Inc.
52 Trellis View - Simple Single type of inner visualization Common synchronized scale across all graphs Has scale showing by default (can turn off) Lots of graph types Vertical Bar Horizontal Bar Line Area Line-Bar Pie Scatter Bubble Copyright 2014, Vlamis Software Solutions, Inc.
53 Trellis View - Advanced Pivot table with numbers or graphs in cells Each microchart has its own scale and not shown Most often used to see trend lines No axis description, so across should be time Can have different visualizations for different measures Spark bar Spark line Spark area numbers Copyright 2014, Vlamis Software Solutions, Inc.
54 New Trellis Views Does not require Exalytics but need fast Pres Server Can display LOTS of data in compact form Capable of dense visualizations Great for snapshot of trending Great for comparing patterns across dimension values Two types Simple (shows full graphs per cell) Advanced (sparklines no scales per cell, separate scales) Need to think what you re trying to show on a trellis Copyright 2015, Vlamis Software Solutions, Inc.
55 OBI Scorecard & Strategy Management Integrated toolset in OBIEE Follows Balanced Scorecard methodology Enables corporate goals and objectives to be monitored and managed Includes strategy maps, strategy trees, KPI watch lists, and cause and effect maps Copyright 2014, Vlamis Software Solutions, Inc.
56 New Contribution Wheel Visualization Copyright 2013, Vlamis Software Solutions, Inc.
57 Strategy Tree View Copyright 2014, Vlamis Software Solutions, Inc.
58 Strategy Map View Copyright 2014, Vlamis Software Solutions, Inc.
59 General Advice Working with BI Catalog Development Standards Working with Executives Working with IT and DBAs Developing Trust in BI Systems Getting Started Workshops Assessments Training Metadata Communication and Documentation The Long Road
60 Where to Start Workshops Assessments Training Metadata Communication and Documentation
61 Copyright 2014, Vlamis Software Solutions, Inc.
62 Copyright 2014, Vlamis Software Solutions, Inc.
63 Copyright 2014, Vlamis Software Solutions, Inc.
64 Copyright 2014, Vlamis Software Solutions, Inc.
65 Copyright 2014, Vlamis Software Solutions, Inc.
66 Copyright 2014, Vlamis Software Solutions, Inc.
67 Copyright 2014, Vlamis Software Solutions, Inc.
68 Copyright 2014, Vlamis Software Solutions, Inc.
69 Questions?
70 More info URL for book Table in lobby Other presentations by Vlamis Collaborate and ODTUG KScope Copyright 2014, Vlamis Software Solutions, Inc.
71 Copyright 2014, Vlamis Software Solutions, Inc. Thank You! Thank You for Attending Session Data Visualization for OBI 11g Presenter Information: Dan Vlamis, President Tim Vlamis, Consultant Vlamis Software Solutions, Inc For more information go to
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Figure 1. An embedded chart on a worksheet.
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