oracle analytics cloud in the bright lights of the city of
TRANSCRIPT
WELCOME TOLAS VEGAS
Oracle Analytics Cloud in the Bright Lights of the City of Las Vegas
Al Pitts, IT Business Relationship Manager, City of Las VegasRaghav Venkat, City of Las VegasDan Vlamis, Vlamis Software Solutions, Inc.
Monday, September 16, 01:45 PM - 02:30 PM | Moscone West - Room 2024A
26th Largest City
40 Million Annual
Visitors
$1.1B Downtown
Gaming Revenue
44% Work in Tourism
21,000 Conventions
$700 Gambling
Budget
Copyright © 2019, Vlamis Software Solutions, Inc.
Vlamis Software Solutions
âȘ Vlamis Software founded in 1992 in Kansas City, Missouri
âȘ Developed 200+ Oracle BI and analytics systems
âȘ Specializes in Oracle-based:âȘ Enterprise Business Intelligence & AnalyticsâȘ Analytic WarehousingâȘ Data Mining and Predictive AnalyticsâȘ Data Visualization
âȘ Multiple Oracle ACEs, consultants average 15+ years
âȘ www.vlamis.com (blog, papers, newsletters, services)
âȘ Co-authors of book âData Visualization for OBIâ
âȘ Co-author of book âOracle Essbase & Oracle OLAPâ
âȘ Oracle University Reseller
âȘ Oracle Gold Partner
âTHE NEW ITâ
âThe Futureâ
INNOVATION
Strategic Anchor
Ideas (Ideation Process)
LOCATION INTELLIGENCE
(GIS)
(GIS Architect)Mapping Services
3D Services
Geospatial Data
Web Apps
Story Maps
Rapid Data Collection
ArcPy
Drone2Map
ArcGIS Urban
BUSINESS INTELLIGENCE & ANALYTICS
Dash Boards
Enterprise Reporting
Oracle DVD
Advanced Analytics
Data Marts/Models
Data Discovery
Data Literacy
Data Mining
WEB DEV./MOBILE
APPS/ENTERPRISEPLATFORMS
(App Architect)
DNN
Out Systems
O365
AI/ML
Visual Studio
Azure/AWS SDKs
Oracle SOA
CLOUD SERVICES
(Cloud Architect)
AWS
AZURE
SaaS
PaaS
IaaS
DaaS
ExaCC
VMware
DATA PLATFORMS & INTEGRATION
(Data Architect)
MS SQLServer
IoT/Big Data
DIPC/ODI
POWER BI Service
SSIS/SSRS/SSAS
AWS Redshift
OAC
Python
MongoDB/Cassandra
PERFORMANCE ANALYTICS
KPIs
Results Vegas
Scorecards
Dash Boards
SBPs
ArcGIS Open Data
Performance Stories
Data-Driven Government
Enterprise Data Acquisition New Structure
Oracle Analytics Cloud (OAC)
âą Great visualization platform
âą Powerful mobile platform
âą Stresses on self-service
âą Advanced Analytics
Building a data set / data model
Design an extract, transform and load sequence
Drag and drop visualization builder
Instant Mobility
Voice Activated Analytics
Copyright © 2019, Vlamis Software Solutions, Inc.
Data Visualization Scenarios
Data Discovery
BI Dashboards
Situational Awareness
Alerts Thresholds
Individual Organizational
Immediate Response
Deliberative Response
Copyright © 2019, 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.
Copyright © 2019, Vlamis Software Solutions, Inc.
Dashboard Definition
BI Dashboards should be designed to drive organizational coherence through a shared understanding of organizational position, performance, flows, and influencers.
Copyright © 2019, Vlamis Software Solutions, Inc.
Exec Dashboard Issues Never Talked About
âȘ Too many prompts
âȘ Too much raw data without comparisonsâȘ Lack of normalization
âȘ Lack of differencing
âȘ Lack of exception analysis
âȘData views out of scale with each other
âȘData scale not matched to decision scale
Copyright © 2019, Vlamis Software Solutions, Inc.
Data Discovery Steps
âȘRead through data in Data Prep view
âȘDetermine what defines a record
âȘ Identify facts and dimensions
âȘUse âExplainâ with fact(s) to reveal important dimensions
âȘBuild major dimension summary view
Copyright © 2019, Vlamis Software Solutions, Inc.
Data Discovery Sequence
âȘ âSkimâ the entire data set to get a sense of its size and scope
âȘ âReadâ the data set a second time more carefullyâȘ Identify facts/measuresâȘ Transaction/event records included?âȘ Identify major dimensions
âȘMake a list of potentially important or interesting business issues/implications
âȘCompare your original business issues with your new list
âȘApply useful frameworks
âȘ Transform data and add new data
âȘApply useful frameworks
Copyright © 2019, Vlamis Software Solutions, Inc.
Differencing (aka variance)
âȘHow does the raw data differ from a comparative?âȘ Difference from the average?
âȘ Difference by time?
âȘ Difference from a baseline?
âȘGraph differences when change or context is important.
Tables of raw data are difficult to interpret in terms of insights.
Copyright © 2019, Vlamis Software Solutions, Inc.
Copyright © 2019, Vlamis Software Solutions, Inc.
Copyright © 2019, Vlamis Software Solutions, Inc.
Copyright © 2019, Vlamis Software Solutions, Inc.
Copyright © 2019, Vlamis Software Solutions, Inc.
Copyright © 2019, Vlamis Software Solutions, Inc.
Copyright © 2019, Vlamis Software Solutions, Inc.
Dimensional Analysis
âȘUse brushing and selection with multiple graph layouts.âȘ Build four or five graphs with related attributes or measures.
âȘ Too many graphs or several highly dense graphs exceed limitations
âȘConsider alternative graph typesâȘ Scatter plots
âȘ Trellis charts
âȘ Sankey graphs
âȘ Parallel coordinates
Copyright © 2019, Vlamis Software Solutions, Inc.
Dimensional Analysis
âȘOrder of importance for Scatter Plots1. Y Axis typically has the âresponse variableâ, i.e. highest interest
2. X axis has the âindependent variableâ.
3. Color (can be categorical or numeric)
4. Size
5. Trellis by category
6. Shape
7. Filters
âȘUse logarithmic scale for âlong tailâ distributions or break into two or more graphs.
Copyright © 2019, Vlamis Software Solutions, Inc.
Trellis Charts
âȘMake sure that the major axis of interest is aligned with Trellis chart choice.âȘ Vertical when X axis is important
âȘ Example: compare patterns over time
âȘ Compare length of horizontal bar graph
âȘ Horizontal when Y axis importantâȘ Compare lengths of vertical bar graphs
âȘUse horizontal for long, scrolling trellis charts with many members
âȘUse both to create a table of graphs
Copyright © 2019, Vlamis Software Solutions, Inc.
Sankey Graphs
âȘUsed in âflowâ analyses and comparative analyses
âȘUsed to show relative strengths of relationships between attributes
âȘ Line weight and size are proportional to flow/relational measure
âȘHover and click on lines to show relationships
âȘSort order is very important
Copyright © 2019, Vlamis Software Solutions, Inc.
Parallel Coordinates Graphs
âȘUsed to show otherwise disparate relationships
âȘ âCustom join graphâ
âȘEach line represents a record in the active data set
âȘSort order is extremely important
âȘHighly interactive
âȘNot recommended for general users
Copyright © 2019, Vlamis Software Solutions, Inc.
Customer Profit Analysis
âȘHighlight Customer Segment and Profit and drag to canvas.âȘ Horizontal bar chart
âȘ Set âUse as Filterâ
âȘCreate new column âCustomer Profit Binâ and âGross Profitâ
âȘHighlight Sales, Profit, Customer Profit Bin and Gross Profit and drag to canvas.âȘ Bar graph Sales and Profit, color as âGross Profitâ
âȘHighlight Profit, Sales, and Customer Name and drag to canvas.âȘ Scatter plot and add reference lines.
Copyright © 2019, Vlamis Software Solutions, Inc.
Understanding Measures for Exploration
âȘAggregation method is important
âȘ If use average, also add a bucketed measure
âȘCompute differences
âȘUnderstand dataâs natural distribution shapesâȘ Normal distributions (bell shaped)
âȘ Log-normal distributions
âȘ Exponential distributions
âȘAverage has strong meaning only for normal distributions
âȘOutlier identification & treatment are important for non-normal distributions
Copyright © 2019, Vlamis Software Solutions, Inc.
Demo
Copyright © 2019, Vlamis Software Solutions, Inc.
Keys to Data Discovery
âȘ Identify your main topic of interest with a performance tile
âȘSummary
âȘEvaluating a fact or a dimension?âȘ Sales analysisâȘ Customer or product analysis
âȘ Fact analysisâȘ Find lowest grainâȘ Flat low distributionâȘ Event or transaction
âȘ Look for clustered distributionâȘ Scatter with points as event in fact table
âȘ Set fact on X axis and response variable on Y axis
Copyright © 2019, Vlamis Software Solutions, Inc.
Major Types and Uses of Graphs
âȘScatter plot â outlier detection
âȘ Line graph â time based measures. Looking for trends and patterns
âȘBar graph â comparison analysis
Copyright © 2019, Vlamis Software Solutions, Inc.
Map Views and Location Analytics
âȘGeoJSON map layers
âȘUnderstanding and using built-in features of OAC
âȘNEW Spatial Studio
Copyright © 2019, Vlamis Software Solutions, Inc.
Data Narratives/Evidence Based Stories
âȘUsing OAC Narrative tab
âȘReader/viewer experience
âȘAdd verbiage for clarity and emphasis
âȘNumbers are read like words
âȘGraphs and visualizations are interpreted like pictures
Copyright © 2019, Vlamis Software Solutions, Inc.
Starting with Data Discovery
âȘBegin either with a specific question or a framework
âȘAvoid âwandering aroundâ
âȘMost of your visualizations will not produce new insights
âȘMove quickly through visualizations
âȘBe prepared to open a lot of browser tabs
Copyright © 2019, Vlamis Software Solutions, Inc.
Finding is not Explaining
âȘProcess of interaction has a huge impact on the contextual
understanding of an insight
âȘWhen someone discovers something, they believe it more
âȘHuman Cognition Biases
Copyright © 2019, Vlamis Software Solutions, Inc.
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