Watch full webinar here: https://bit.ly/3fpitC3 Enterprise organizations are shifting to self-service analytics as business users need real-time access to holistic and consistent views of data regardless of its location, source or type for arriving at critical decisions. Data Virtualization and Data Visualization work together through a universal semantic layer. Learn how they enable self-service data discovery and improve performance of your reports and dashboards. In this session, you will learn: - Challenges faced by business users - How data virtualization enables self-service analytics - Use case and lessons from customer success - Overview of the highlight features in Tableau

1. Big Data | Advanced Analytics

2. What we’re going to cover…
• Key challenges faced by business users
• Analytics and visualization on the fly
• Data virtualization enables self-service analytics
• Use case and lessons from customer success

3. What We Do?
Charter end-to-end digital transformation strategies that empower
organizations to monetize data. We take away the complexities to enable a
frictionless journey.

4. People Process Technology

5. Data Insight Action
The Journey of Data Driven InsightsAcquire
Streaming/In
Motion Data
Staging/At Rest
Data
IoT
Organize
Data Lake / Data
Warehouse
Data
Governance
ETL/ELT
Data Quality
Analyze
Asking the right
questions
Statistics
Advanced
Analytics/AI
Deliver
Reporting
Dashboard
APIs
Operationalize
Domain Knowledge
People
Process
Technology
Data Analysts &
Data Scientist
Data Engineering & IT Team Decision Makers &
Business Units

6. Virtualization Visualization
Acquire
Streaming/In
Motion Data
Staging/At Rest
Data
IoT
Organize
Data Lake / Data
Warehouse
Data
Governance
ETL/ELT
Data Quality
Analyze
Asking the right
questions
Statistics
Advanced
Analytics/AI
Deliver
Reporting
Dashboard
API
Operationalize
Domain Knowledge
Data Insight Action
The Journey of Data Driven Insights
Data Analysts &
Data Scientist
Data Engineering & IT Team
Decision Makers &
Business Units People
Process
Technology

7. Tableau Platform
Innovations & What’s New
Ian Teoh
Sales Consultant

8. Tableau helps people and organizations
become more data-driven

9. Tableau Platform

10. • Any data, anywhere
• Visualize as you analyze
• Intuitive interface
• Powerful analytics
• No programming

11. Tableau Platform
Deployment ON-PREMISES | CLOUD | HOSTED WINDOWS | LINUX | MAC MULTI-TENANT
Security&Compliance
Extensibility&APIs
Data Access Live | In-memory | Hybrid Connectivity
Data Prep Data Blending | Query Federation | Visual Data Prep | Auto Data Modeling
Governance Centralized Data Sources | Certification | Usage Analysis | Permissions
Content Discovery Projects | Recommendations | Versioning | Search
Analytics Visual | Ad-hoc | Advanced | Spatial | Calculations | Statistics
Collaboration Alerting | Subscriptions | Storytelling | Sharing | Discussions
Desktop Browser EmbeddedMobile

12. TC18 & TC EUROPE CALL OUT
We are innovators

13. 9.0 9.1 9.2
9.3
10.0
10.1
10.2
10.3
10.4
10.5
2018.1
2018.3
Pace of innovation
2018.2
2019.1
2015 2016 2017 2018 2019 2020
2019.2
2019.3
2019.4
2020.1
(BETA)

14. Analytics for everyone, anywhere, with any data
Self-Service Analytics Self-Service
Data Management
AI-powered
Embedded Cloud/On-prem Enterprise ReadyDevelopers
THE PLATFORM

15. Analytics for everyone, anywhere, with any data
Self-Service Analytics

16. Tableau is Visual Analytics, NOT Data Visualization
Data Visualization Visual Analysis
Requirements
Questions
Answers
Questions
Questions
vs.

17. Self service revolution

18. Analytics for everyone, anywhere, with any data
AI-powered

19. Ask Data
• Ask Data introduces an entirely
new way to interact with your
data with natural language.
• Simply ask a question. Get to
your answer faster.

21. Ask Data

22. Explain this mark – from “what” to “why”
• Relevant
Pertinent to you and the question on your
mind
• Truthful
Inspires and raises the appropriate
confidence and questions
• Engaging
Enables and encourages exploration

23. Self-Service
Data Management
Analytics for everyone, anywhere, with any data

24. • Get a complete view of all the data in
your Tableau environment.
• Easily see the lineage and impact analysis
of your data.
• Simplify discovery of trusted data and
content for your end users.
• Get to analysis faster with Search for Data
• Integrated with Tableau Server
Understand all the data brought into Tableau
Tableau Catalog

25. Increase visibility to
manage data
Automatic metadata inventory
Databases, Tables, Data Sources,
Workbooks, Prep flows
Lineage and impact analysis
Understand relationships between assets
Rich APIs
Metadata API to query and update graph

26. Build governance and
trust in the data
Richer metadata
More metadata in more places for all users
Data source management
Data quality warnings, certification

27. Find the right data to
analyze faster
Enhanced search
Tags, descriptions, fields, external tables
Connecting to data
Find the right data to analyze in Tableau
Desktop or web authoring

28. Self-service data preparation at scale
Tableau Prep Conductor
Tableau Prep Builder
Confidently prepare your data for analysis

29. Visual & Direct

30. Smart
Add algorithms to augment human intelligence

31. Analytics for everyone, anywhere, with any data
Self-Service Analytics Self-Service
Data Management
AI-powered
Embedded Cloud/On-prem Enterprise ReadyDevelopers
THE PLATFORM

32. Tableau helps people
and organizations become
more data-driven
An integrated
platform
that is easier to
start and scale
The trusted
leader in analytics
Analytics people
love to use

34. Data Virtualization
is Changing the
Game
“Modern, Agile Data and
Analytics “
Alex Hoehl
April 2020

35. 34
One of the Biggest Challenges for Analytics: Get the right Data at the right Time

36. 35
Your IT Landscape?
IT
Data Storage
&Collection
Business
Data
Visualization &
Analysis
No One Focused on Data Delivery
– So create 100’s to 1K’s of brittle direct connections and
replicate large volumes of data
Inventory System
(MS SQL Server)
Product Catalog
(Web Service -SOAP)
BI / Reporting
JDBC, ODBC,
ADO .NET
Web / Mobile
WS – REST JSON,
XML, HTML, RSSLog files
(.txt/.log files)
CRM
(MySQL)
Billing System
(Web Service - Rest)
ETL
Portals
JSR168 / 286,
Ms Web Parts
SOA, Middleware,
Enterprise Apps
WS – SOAP
Java API
Customer Voice
(Internet, Unstruc)
One of the Biggest Challenges for Analytics: Get the right Data at the right Time

37. 36
Your IT Landscape?
IT
Data Storage
&Collection
Business
Data
Visualization &
Analysis
No One Focused on Data Delivery
– So create 100’s to 1K’s of brittle direct connections and
replicate large volumes of data
Inventory System
(MS SQL Server)
Product Catalog
(Web Service -SOAP)
BI / Reporting
JDBC, ODBC,
ADO .NET
Web / Mobile
WS – REST JSON,
XML, HTML, RSSLog files
(.txt/.log files)
CRM
(MySQL)
Billing System
(Web Service - Rest)
ETL
Portals
JSR168 / 286,
Ms Web Parts
SOA, Middleware,
Enterprise Apps
WS – SOAP
Java API
Customer Voice
(Internet, Unstruc)
One of the Biggest Challenges for Analytics: Get the right Data at the right Time

38. 37
Six Essential Capabilities of Data Virtualization
1. Business Semantic - Data abstraction
Layer
2. Zero replication, zero relocation
3. Real-time information
4. Self-service data services
5. Centralized metadata, security
& governance
6. Cloud-Hybrid Accelerator

39. 38
Logical Data Integration: the Path to the Future
Adopt the Logical Data Warehouse Architecture to Meet Your
Modern Analytical Needs”. Henry Cook, Gartner April 2018

40. 39
Denodo ‘Solution’ Categories – Top 4
Data Services
✓ Data as a Service
✓ Data Marketplace
✓ Data Services
✓ Application and Data
Migration
Cloud Solutions
BI and Analytics
✓ Self-Service Analytics
✓ Logical Data Warehouse
✓ Enterprise Data Fabric
Data Lakes
✓ Logical Data Lake
✓ Data Warehouse
Offloading
✓ IoT Analytics
✓ Cloud Modernization
✓ Cloud Analytics
✓ Hybrid Data Fabric

41. 40
Logical Data Warehouse

42. 41
Logical Data Warehouse

43. 42
Logical Data Warehouse

44. 43
Logical Data Warehouse

45. Business Need Solution Benefits
44
Case Study Regional Community Bank Improves Business
Process Efficiency Using the Logical Data
Warehouse
This regional bank is headquartered in Florida and is one of the largest community banks with approximately
$4 billion in assets and $3.2 billion in deposits. The bank provides integrated financial services, including
commercial and retail banking, wealth management, and mortgage services to customers through advanced
banking solutions.
▪ Denodo used as the enterprise-wide logical
data warehouse for analytical and
operational purposes
▪ Denodo aggregates data across cloud and on-
premise sources – IBM Unica, FIS, …
▪ Denodo feeds data to Tableau, SAS portals,
mobile devices, etc.
▪ Improved efficiency through self-service for
business users in loans, deposits, fraud,
credit, and risk departments
▪ Reporting turnaround time improved from
2-3 days to 2 hours
▪ Business operations such as loan processing
is handled in real-time
▪ Accelerate business operations in loans,
deposits, and other departments through
use of self-service reports and dashboards
▪ Establish a central information delivery
platform to easily add new data sources
from acquired companies
▪ Prior cloud-based data warehouse was
inflexible to accommodate new data
sources

46. 45
Architectural Diagrams
Seacoast

47. Business Need Solution Benefits
46
Case Study Regional Community Bank Improves Business
Process Efficiency Using the Logical Data
Warehouse
This regional bank is headquartered in Florida and is one of the largest community banks with approximately
$4 billion in assets and $3.2 billion in deposits. The bank provides integrated financial services, including
commercial and retail banking, wealth management, and mortgage services to customers through advanced
banking solutions.
▪ Denodo used as the enterprise-wide logical
data warehouse for analytical and
operational purposes
▪ Denodo aggregates data across cloud and on-
premise sources – IBM Unica, FIS, …
▪ Denodo feeds data to Tableau, SAS portals,
mobile devices, etc.
▪ Improved efficiency through self-service for
business users in loans, deposits, fraud,
credit, and risk departments
▪ Reporting turnaround time improved from
2-3 days to 2 hours
▪ Business operations such as loan processing
is handled in real-time
▪ Accelerate business operations in loans,
deposits, and other departments through
use of self-service reports and dashboards
▪ Establish a central information delivery
platform to easily add new data sources
from acquired companies
▪ Prior cloud-based data warehouse was
inflexible to accommodate new data sources

48. Leading Construction Manufacturer Improves
Service Delivery and Revenue
• Competitive pressure from low-
cost Chinese manufacturers
• Needed a proactive approach to
customer service to differentiate
• Sought to improve equipment
and services delivery through
predictive maintenance
Problem Solution Results
In business for over 90 years and is the world’s leading
manufacturer of construction and mining equipment, diesel and
natural gas engines, industrial gas turbines and diesel-electric
locomotives with 2014 net revenue of $54.6 billion.
• Telemetry data from sensors
embedded in the equipment
is stored in Hadoop to
perform predictive analytics
• Denodo integrates analytics
data with parts, maintenance,
and dealer information stored
in traditional systems
• It then feeds the predictive
maintenance information to a
customer dashboard
• Phased rollout systematically
improved asset performance
and proactive maintenance
• Increased revenue from sale of
services and parts
• Reduced warranty costs of parts
failure
• Future – optimize pricing for
services and parts among global
service providers

49. Data Virtualization for IoT, Predictive
Analytics, Real-time Dashboards
Dealer
Maintenance
Contracts
Parts Inventory
OSI PI Hadoop Cluster
Tableau: Dealer / Customer Dashboard
IoT - Big Data Operational Data
Telematics - IoT
▪ Data services access
to machine generated
data
▪ Contextualizing data by
combining with other
internal data sources
▪ Business use:
predictive maintenance
services
Telematics - IoT
▪ Predictive Maintenance
Service for large
customers and dealers
▪ Differentiator against
low-cost competitors
▪ Increase services and
parts sales – higher
margins
▪ Future – optimize parts
and services pricing

50. Denodo Overview
20 Years Focus on Data

51. 50
Denodo Company Profile
The Leader in Data Virtualization
DENODO OFFICES, CUSTOMERS, PARTNERS
Palo Alto, CA.
Global presence throughout North America,
EMEA, APAC, and Latin America.
LEADERSHIP
▪ Longest continuous focus on data
virtualization – since 1999
▪ Leader in 2018 Forrester Wave – Big
Data Fabric
▪ Winner of numerous awards
CUSTOMERS
~800 customers, including many F500 and
G2000 companies across every major industry
have gained significant business agility and ROI.
FINANCIALS
Backed by $4B+ private equity firm.
50+% annual growth; Profitable.

52. 51
Gartner Magic Quadrant and Forrester Waves
Analyst Reports
2019 Gartner Magic Quadrant for Data Integration ToolsForrester WaveTM: Big Data Fabric, Q2 2018Forrester Wave: Enterprise Data Virtualization, Q4 2017

53. Customer Benefits –Summary
How DV contributes to Customers’ Success

54. 53
Denodo – Tableau Native Connector
• Single Sign-On on Tableau
Desktop
• Easy Configuration in Simple
Steps
• Query Performance
Improvement with Denodo
Query Pushdown
• Denodo scheduler exports
data to Tableau Data
Extracts

55. 54
Complete enterprise information, combining Web,
cloud, streaming, and structured data
80% (or more) faster time to Value - ROI
realization within 6 months, with the flexibility to
adjust to unforeseen changes
45% Lower TCO - reduction in integration costs, in
terms of resources and technology
Real-time integration and data access, enabling
faster business decisions
Self-Service, Security and Governance in one
integrated platform
The Benefits of Data Virtualization
“Get it Real-time and Get it Fast!”
Higher Productivity through Better Decisions and Self-Service
Compliance and Governance
Lower IT Cost

56. Q&A
contact@quandatics.com