With Oracle Data Visualization Cloud Service, your business users can perform self-service analytics, spot patterns, trends, correlations, and construct visual data stories for greater insight into how your product, service, or organization is performing. In this webinar, we demonstrated how easily users can explore their data in new and different ways through stunning visualizations automatically, promoting self-service discovery. Discussion included: -In-depth review of Oracle Data Visualization Cloud Service -Connecting different data sets like HCM, ERP, Sales Cloud and more -Mobile and security -Demo taking a real-world business use case from end to end

1. How to Empower Your
Business Users with Oracle
Data Visualization

2. Shiv Bharti
Practice Director,
Oracle Business Analytics
shiv.bharti@perficient.com
Mazen Manasseh
Senior Solutions Architect,
Oracle Business Analytics
Mazen.manasseh@perficient.com

3. 3
Agenda
• About Perficient
• Shifts happening today
• Building your intelligence Mesh
• All data from all sources
• Collective Intelligence
• Connect & Prepare
• See & Detect
• Learn & Share
• Governed Self Service at Enterprise Scale
• Demo
• Q&A

4. 4
About Perficient
Perficient is the leading digital
transformation consulting firm serving
Global 2000 and enterprise customers
throughout North America.
With unparalleled information technology, management
consulting, and creative capabilities, Perficient and its
Perficient Digital agency deliver vision, execution, and
value with outstanding digital experience, business
optimization, and industry solutions.

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Perficient Profile
• Founded in 1997
• Public, NASDAQ: PRFT
• 2016 revenue $487 million
• Major market locations:
Allentown, Atlanta, Ann Arbor, Boston, Charlotte,
Chattanooga, Chicago, Cincinnati, Columbus, Dallas, Denver,
Detroit, Fairfax, Houston, Indianapolis, Lafayette, Milwaukee,
Minneapolis, New York City, Northern California, Oxford (UK),
Southern California, St. Louis, Toronto
• Global delivery centers in China and India
• Nearly 3,000 colleagues
• Dedicated solution practices
• ~95% repeat business rate
• Alliance partnerships with major technology vendors
• Multiple vendor/industry technology and growth
awards

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Perficient’s BI Practice
Fast Facts
• Practice Started: 2004
• Projects Completed: 400+
• Management Team: 14 years
• 60% of consultants former Oracle Eng.
• Oracle Authorized Education Center
• Oracle BI Apps, OBIEE, ODI
• Perficient runs its business on Oracle BI
• Proven implementation methodology
Solutions Expertise
• BI/DW strategy and assessments
• OBIEE and Oracle BI Apps
• Cloud & on-premises solutions
• Custom data warehouse services
• Master Data Management
• Data integration, discovery, big data
• Exadata & Exalytics
• Oracle Golden Gate
Oracle Specializations

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"Organizations that analyze all relevant data and
deliver actionable information will achieve an extra
$430 billion in productivity gains over their less
analytically oriented peers by 2020.”
- IDC

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Many Shifts Happening Simultaneously
• Need for data in daily decisions is pervasive
• Business leaders expect more than dashboards and reports
• Analytic proficiencies are improving in every department
• Standalone visualization tools running out of gas
• Cloud adoption is accelerating, but most data still on-premises

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Building Your Intelligence Mesh
• Find Hidden Patterns
• Build Collective Intelligence
• Liberate All Data
• Create Agile Enterprise
• Adapt to Your Needs
Oracle’s Strategy
Copyright © 2016, Oracle
COLLECTIVE
INTELLIGENCE
SEE &
DETECT
CONNECT
& PREPARE
MODEL
& BUILD
DEPLOY &
SCALE
LEARN
& SHARE
Consumers
Business
Analysts
Developers

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Liberate All Data From All Sources
CONNECT &
PREPARE
Easy access to a variety of data sources
• Few clicks to set up and use
• Vast number of sources supported
• Will expand coverage to enable access to
every industry-specific source via native
connectors or developer community
In-line and “extract and analyze”
• IP built over two decades in function
shipping (source-specific code
generation) and internal execution now
powers business user self-service
SAAS / PAAS
DATABASES
BIG DATA
NO SQL
OTHERSCopyright © 2016, Oracle

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Improve All Data with Powerful Data Prep
CONNECT &
PREPARE
Copyright © 2016, Oracle
Power of SQL via intuitive interfaces
• Group values, join data sets, sub-select rows/columns,
aggregate, calculated fields etc.
Applicable to all types and volumes of data
• BI Server SQL processing - function shipping via smart
code generation, compensate with in-memory execution
Function extensibility via R and source execution
• Full R grammar for statistical, Machine Learning,
textual models
• Reach-in to data sources’ specific routines
(eg. Machine Learning in Spark, custom functions)
while operating on a single data abstraction

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Find Hidden Patterns with Smart Data Discovery
Automatic detection of data patterns
• Guide users towards strongest correlated factors and
variances from norm
Auto-blending, intelligent visualizations
• Easy blending of data sets with the most appropriate
handling to avoid double counting (fan-trap, chasm-trap)
• Auto-default to the appropriate visualization for a given data
set
Search enablement everywhere
• Powers the BI ASK experience (covered later)
• Type ahead in expression editor, data set browser
etc.
Copyright © 2016, Oracle
SEE &
DETECT

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Talk to Your Data with BI Ask
Powerful, intuitive keyword search
• Interprets semantic layer, user private data,
expression library and catalog artifacts
• Voice-enabled
• Fuzzy match, stemming, natural language
processing
• Generates on-the-fly queries - visualizations are
auto-created while user types
• Mobile
• Browser
• Desktop
Available on all platforms
Copyright © 2016, Oracle
SEE &
DETECT

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Tell Better Stories with Your Findings
LEARN &
SHARE
Interactive data storytelling
• Evaluate each story point, “kick the tires” and
validate conclusions
• Presentation mode enables focus on the story
point, while offering complete interactivity
• Freeform text and images enable in-place
discussions
Consume anywhere
• Mobile, desktop and browser
• Native integration with mobile platforms to enable
seamless hand-offs, screen-shares, and more
Copyright © 2016, Oracle

15. Governed Self Service at
Enterprise Scale

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The Pivot to Self Service
Proven Answers to Anticipated Questions
 Analytic Value: Enduring
 Audience: The Enterprise
 Project Type: Proactive / Known
Requirements
Fast Answers to Unanticipated Questions
 Analytic Value: Immediate
 Audience: Specific to Individual / Group
 Project Type: Reactive / Shifting
Requirements
EBS, CRM, EDW
Oracle Common Enterprise
Information Model
Production Reports and
Dashboards
Data Silos, Personal Files, External Content
Agile Data Mash Up
Self-Service Discovery Apps
Leverage Existing Assets
Share Powerful Infrastructure
LOB Driven
(top down)
IT Driven
(bottom up)
BI Applications

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Enterprise BI and Visual Exploration Silos
Business User Friendly
Ease of use, Agile, Self-service
IT Friendly
Governance, Singular semantic,
Enterprise ready
OR

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Oracle Business Intelligence
Business User Friendly
Ease of use, Agile, Self-service
IT Friendly
Governance, Singular semantic,
Enterprise ready
AND

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Data Visualization with Essbase Options
From Smart View
• Connecting from Excel • DV connector to Essbase
• Current only available against
Essbase Cloud Service
• Support for On-prem
EPM 11.2.3.x planned in the
future
• Connecting with OBIEE
OBIEE Oracle Analytics Cloud
Copyright © 2016, Oracle

20. Demo Slides

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Data Visualization in 4 Steps
Connect to Cloud and on-prem systems
leveraging built-in adapters
Data Flows for built-in data preparation
Visualize using a rich library of visuals
Narrate by building and sharing storylines

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Built-In Connection Adapters
On-prem or Cloud Databases | Essbase | Big Data Sources | Cloud Applications (SaaS)

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Data Flows
Data preparation allows for transforming input data by joining multiple sources, removing columns,
adding new calculated values, aggregating and grouping data, and applying filtering criteria.

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Imported Data - Table Layout

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Automated Visual Data Discovery
More sales order revenue from
High-priority orders
Discovered annual trend in Profit
November is the peak month for profit
Single click
for data
discovery

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Rich Library of Visualizations
 Bar Graph
 Scatter Graph
 Line Graph
 Area Graph
 Line-Bar Combo Graphs
 Pie/Donut Chart
 Tiles
 Pivot Table
 Tree Map
 Sunburst
 Geographical Map
 Radar Line/Area/Bar Chart
 Tag Cloud
 Timeline Visual
 Parallel Coordinates
 Chord Diagram
 Network Diagrams
 Sankey Diagram
 Tree Diagram

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Example Overview Summary

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Profit Ratios by Product Categories

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Revenue Trending Analysis

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Binning Customer Profit

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Scatter Visual

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Geographical Analysis

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Custom Maps

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Chord & Network Diagrams

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Network Diagram

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Sankey & Tree Diagrams

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Timeline Visualization

38. Advanced Analytics

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Built-In Advanced Analytics Functions
 Clustering: Multiple classification models
Example: Customer segmentation for marketing
campaigns
 Outlier Detection: Supports multiple algorithms (K-Means,
H-Clustering, Multi-Variate Outlier).
Example: Underperforming or Overachieving stores
 Regression Analysis for Trending: Linear, Exponential or
Polynomial
Example: Impact of discounts on sales and profit
 Forecast: Time series projection based on ARIMA or
Exponential Smoothing models.
Example: Forecast sales and include trends and
seasonality.

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Clustering

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Binning for Customer Demographics

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Binning Heat Maps

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Outlier Detection

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Trending with Regression Analysis

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Forecasting Models

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Forecasting by Category

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Association Rules Mining – Market Basket Analysis

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Embedded R Visualization

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Social Media - Sentiment Analysis

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Custom R Scripts for Sentiment Analysis

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Possibilities with Oracle Analytics Cloud

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Cloud Analytics… Where to Start?
1. CONNECT TO ALL DATA (Data Hybrid)
2. ENABLE MORE USERS (Application Lift and Shift)
3. EXPAND PLATFORM FOR INNOVATION (Analytics Evolution)
CHOICE

53. Questions
Type your question into the chat box

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Next up:
Kscope17
San Antonio, TX
June 25-29, 2017
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55. Thank You