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HORIZON Business IntelligenceThe Art of Analysis
5/22/2017Ryan Hodges, HORIZON 360 BI Development Manager
Objective
• Apply the tools of an artist to the work of a data analyst
Art
• Color
• Form
• Flow
• Narrative
Analysis
• Breakdown
• Pattern-finding
• Root Causes
• Relationships
2
Analyzing With Your Whole Brain
3
Computers have:
• CPU for math-based operations
• GPU for graphical processing
Brains have:
• Frontal lobe for executive functions
• Parietal lobe for math-based operations
• Visual cortex for vision
More Than Pretty Pictures
4
Visualizations
• Tell a story
• Focus attention
• Make an impression
• Make users think and feel SMART
Objection 1: My Data Is Too Messy and Complex
5
Visualizations help make sense of messy
data. Even particle physics relies on them.Gravity Waves
Higgs Boson
Predictions
Objection 2: I Don’t Have Time For All This “Visual Stuff”
6
Visual analysis is easy and time-saving
Objection 3: Pictures Are For Users, Not Experts
7
“A-ha!” moments are for analysts too
8
COLOR
Power of Color
9
Color serves many purposes:
• Effectively encodes data
• Triggers mental associations
• Makes reports more interesting
• Divides a country (no, not really)
The I Spy Game
10
How long does it take you to spy the TOP/BOTTOM officers by
Past Due % in this report?
• Beware data dumping
• It has been known to cause:
– Attention fatigue
– Answer blindness
– Indecisiveness
– Irritable Manager Syndrome
Color Vision
11
Past Due Report revisited
• Pop-out effect
• Gets your attention
• Nowhere to hide in the data
Conditional Formatting
12
• Easy to use
• Preset formats
• Flexible
Try it and see how quick and easy it is.
Choosing the Right Colors
13
• Use high contrast colors
• Simple palette
• Follow style guides
• Tap into the visual lexicon
– Red light / green light
– Arrows
– Icons
Visual Indicators
14
Symbols provide:
• Context
• Target tracking
• Status
• Feedback
Color Banding
15
• User color bands for:
• User driven discovery
• Busy intersections (crosstabs)
• Making sense of big data sets
• Filtering out the irrelevant
Color Banding in Practice
Comparing Customer Age
Groups for Deposits and Loans
16
17
FORM
Basic Chart Food Groups
18
• Pies
– Composition
• Bars
– Comparison (side-by-side)
– Composition (stacked)
– Trends (series)
• Lines
– Trends
– Composition (area)
Pie Charts: Parts-to-whole
19
• Easy to build
– 1 attribute
– 1 measure
• Delivers visual punch
• Expand with
– Series
– Radial
• Add flexibility with
– Series
– Parameters
– Drillthroughs
Pie Charts: Mortgage Analysis Example
20
• Breaking it down:
• Swap out fields for on-the-fly
analysis
• Show multiple perspectives
Bar Charts: Comparing Categories
21
• Works great with list reports
– 1 measure
– 1 or 2 attributes
– Supports groups and hierarchies
– Supports ordering
• Variations
– Vertical / horizontal
– Stacked
– Combination with line chart
Stacked Bar Charts
22
• Stacked Bars
• Categories
• Parts-to-whole
• Progression
Creating Your Own Categories
• Create with
– Custom groupings
– Calculated fields
• Combine multiple elements
• Lump smaller categories together
• Special case handling
23
Line Charts: Trending
24
Ideal for time series
Head-to-head comparisons
Variations
• Area
• Stacked Area
• Combo with Bar
Bubble Charts: Relationships
25
• Works well with crosstabs
• 1-2 categories
• 1 size measure
• 2 attributes
• Show correlations
• Reveal outliers
WordCloud
26
Great for label data such as:
• Officer
• Branch
• Product
Coming soon!
Maps
27
• Market opportunities
• Coverage areas
• Hot spots
Coming soon!
Advanced Charts
28
Many advanced and special purpose charts are available:
• Heatmap
• Gauge
• Bullet
• Radar
• Decision Tree
• And many more…
Choosing the Right Visual Representation
29
Start by asking:
• What do I want to find out?
• Which visualization is the closest
match?
• Who is my audience?
Refine by asking:
• What did the data reveal?
• Have I analyzed it from all angles?
30
DATA
Data Selection
31
Choose your data carefully:
• Quality
• Specificity
• Applicability
• Redundancy
Assessing your Data
32
HIGH Usability LOW Usability
# of Categories
Distribution
Missing Values
Outliers
Rapid Prototyping
33
Use ad hoc tools to:
• Explore data
• Create mock-ups
• Identify problems
Don’t Forget to Verify
34
• Create balancing reports/queries
• Never stray too far from home-base
• Test often!
Ratios and Summaries
35
• Contextualize
• Divide & Conquer
• Set significance
thresholds
Working with Rollups
36
• Tame large categories
• Enable multi-level analysis
• Work with data swathes
Working with Hierarchies
37
• General Ledger Structure
• Nested rollups
• Parent-child relationships
– Chart of Accounts
– Business Units
User Prompts
38
• Add extra data elements without:
– Taking up space
– Adding complexity
• Move between peer groups
• Facilitate self discovery
Advanced Prompts
39
Did you know prompts can:
• Create what-if scenarios
• Be used in data calculations
• Apply weights
• Provide raw user inputs
40
FLOW
Break Up Reports
Summary
Detail
41
Seeing the Forest and the Trees
Use drillthroughs to step into detail level data
42
Give Your Reports a Visual Makeover
43
Identify reports that contain graphic ready
elements:
• Ratios
• Sections
• Categories
• Summaries
• Time Series
Creating Clickpaths
Drillthroughs can chained to:
• Walk a rollup or hierarchy
• Drill multiple levels
• Follow a train of thought
• Make a “lateral pass”
44
Interactions
45
• Reports and widgets can
interact through:
• Shared prompts
• Common data elements
• Drillthroughs
Coming soon!
Creating Workflows
46
• Create a Portfolio
• Build a library of reusable
widgets
• Build personal dashboards
• Define custom tabs
47
Development Update
2016 Development in Review
48
• User Identifiable Information
(UII) Encryption:
– SSN/TIN
– Driver’s licenses and other IDs
• License audit automation
• New Data
– OAC (Online Account Creation)
Interface
– Stockholder Info
– Multiple risk ratings
– 10 new data files
– 270 new fields
2017 Development Roadmap
49
Coming this year:
• Cognos 11
• GL Statistical Accounting
• CeB (Consumer eBanking)
Integration
Coming Soon: Cognos 11
50
Arriving Q4 2017
• One-time migration Fee
• No additional license or
maintenance costs
• Submit an RPS (Request for
Professional Services) to get
on the implementation
calendar
Cognos 11 Features
51
Features
• HTML5 with full mobile
support
• Single Studio concept
• Self guided analysis
• Revamped
visualizations
• Improved search
Ryan Hodges