Accelerate Self-Service Analytics with Virtualization and Visualisation (Thai)

Agenda
10:00 – 10:05 Introduction
10:05 – 10:25 Tableau – The Game Changer
10:25 – 10:45 G-ABLE & Introduction to Denodo
10:45 – 10:55 Data Virtualization Use Cases and Benefits

Narongrit M.
12-May-2020
G-ABLE Company Limited
Introduction

Tammy Panchuoi
Lead Solution Engineer | Tableau Thailand and SEA
The game changer!
Innovations & What’s New

We help see and understand datapeople
We help organizations become more data-driven

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

TC18 & TC EUROPE CALL OUT
We are innovators

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
2020.1
2019.2
2019.3
2019.4
2020.2
Today!!!

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

Self-Service Analytics

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

AI-powered

Smart: Lower the barrier to analytics

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.

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

Self-Service
Data Management

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

Smart
Add algorithms to augment human intelligence

• 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

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

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

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

Viz animations
Sorting, filtering, adding
fields, and other actions
will now smoothly animate
your visualizations to tell
powerful data stories

Buffer calculations
Visualize distance around
point calculations using three
parameter inputs- location,
distance, unit of measure

Dashboard Extensions for Tableau Public
With extensions, you can create
more customized visualizations.
We are now supporting the
Image Map Filter, Single
Checkbox Parameters, and Filter
Bookmarks extensions on
Tableau Public. These extensions
are available for download in
our Extension Gallery.

Relationships
New way of combining
data that will allow you to
enjoy:
• Simpler process combining
tables
• More intuitive analytics
experience
• Streamlined data source
management

Metrics
“If your dashboards are newspapers,
Metrics are the headlines.”
• Monitor KPIs for your business
from anywhere
• A streamlined, consistent view of
your data all in one location
• View on the web or on the go
with Tableau Mobile
• Easy to create for Creators and
Explorers

Incremental Data Refresh for Tableau Prep
• Incrementally add fresh
data to the flow in
Tableau Prep Builder or
Conductor

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

Data Virtualization is
Changing the Game
“Modern, Agile Data and Analytics “

42
One of the Biggest Challenges for Analytics:
Get the right Data at the right Time

43
The Business Need
Fast Data Access to Critical Information to Support Business Processes

44
The Challenge
Data is Siloed across Disparate Systems

45
Complex 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

46
To simplify and manage the data access
IT Focuses on
Data Collection
& Storage
Business
Focuses on
Data
Visualization &
Analysis
BusinessSemanticLayer
(HowDataisconsumedandused)
TechnicalSemanticLayer
(wheredataisstoredandprocessed)
Inventory System
(MS SQL Server)
Big Data
(HADOOP)
ERP
(SAP, E-Biz)
Transaction files
(CSV)
CRM
(Salesforce)
BI / Reporting
JDBC, ODBC,
ADO .NET
Business
Data
Analysis
1 2
Web / Mobile
WS – REST JSON,
XML, HTML, RSS

47
How Data Virtualization Helps Achieve
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

48
Connectivity to Any Data Type for IT
Impala
and many more …
Platform

49
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

Enterprise Data Analytics Architecture

Data Virtualization –
Use Cases & Benefits
“Modern, Agile Data and
Analytics “
Alex Hoehl
May 2020

53
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

Business Need Solution Benefits
Autodesk Successfully Changes Their Revenue Model
and Transforms Business
Case Study
▪ Autodesk was changing their
business revenue model from a
conventional perpetual license model
to subscription-based license model.
▪ Inability to deliver high quality
data in a timely manner to business
stakeholders.
▪ Evolution from traditional operational
data warehouse to contemporary
logical data warehouse deemed
necessary for faster speed.
▪ Successfully transitioned to
subscription-based licensing.
▪ For the first time, Autodesk can do
single point security enforcement and
have uniform data environment for
access.
▪ General purpose platform to deliver
data through logical data warehouse.
▪ Denodo Abstraction Layer helps live
invoicing with SAP.
▪ Data virtualization enabled a culture of
“see before you build”.
Company Confidential – Do not forward or distribute
54
Autodesk, Inc. is an American multinational software corporation that makes
software for the architecture, engineering, construction, manufacturing, media, and
entertainment industries.

Autodesk Successfully Changes Their Revenue Model
and Transforms Business
Case Study
▪ Autodesk was changing their business
revenue model from a conventional
perpetual license model to
subscription-based license model.
▪ Inability to deliver high quality data in
a timely manner to business
stakeholders.
▪ Evolution from traditional operational
data warehouse to contemporary
logical data warehouse deemed
necessary for faster speed.
▪ Successfully transitioned to
subscription-based licensing.
▪ For the first time, Autodesk can do
single point security enforcement
and have uniform data
environment for access.
▪ General purpose platform to deliver
data through logical data warehouse.
▪ Denodo Abstraction Layer helps live
invoicing with SAP.
▪ Data virtualization enabled a culture of
“see before you build”.
Company Confidential – Do not forward or distribute
57
Autodesk, Inc. is an American multinational software corporation that makes
software for the architecture, engineering, construction, manufacturing, media, and
entertainment industries.

58
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

59
Architectural Diagrams
Seacoast

60
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

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

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

63
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

Denodo Overview
20 Years Focus on Data

65
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.

66
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

K. Narongrit / ณรงค์ฤทธิ์
G-ABLE Company Limited
Narongrit.m@g-able.com , inquiry@g-able.com
02-781-9000
www.g-able.com
.
Contact US

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