ABeam LightStream Analytics
Wednesday, 25 March 2020
10am to 11am (SGT)
© 2017 ABeam Consulting Ltd.Confidential1
10:00am
Introductions and Host by ABeam LightStream
Analytics
~ by Chris Whitaker
10:10am
Tableau - The Game Changer ! What's New in
Tableau
~ by Ian Teoh
10:30am
Denodo - Accelerate Self Service BI and
Analytics using Data Virtualization
~ By Alex Hoehl
10:55am Q&A and Wrap-up ~ by Chris Whitaker
Webinar Agenda
Accelerate Self-Service Analytics with Data
Virtualization and Visualization
© 2017 ABeam Consulting Ltd.Confidential2
Introduction on ABeam LightStream
Analytics
Chris Whitaker
© 2017 ABeam Consulting Ltd.Confidential3
5,900Global headcount
(April 1st, 2019)
1981Founded
ABeam offices
(April 1st, 2019) 28offices, 12countries/areas
SingaporeKuala Lumpur
Penang
Bangkok
Jakarta
Our Presence in SEA, 700+ resource capability
Strategic Partners • IT end-to-end service provider
• 2,300+ professionals
• Covering across SEA, India, and China
• Serving the world-leading global clients
Shenzhen
Ho Chi Minh City
ABeam Office
Hong Kong
Manila
Hanoi
Company Highlights
Originally a part of Deloitte global network, and
an independent global consulting firm since 2003
ABeam Singapore has around 200 resource capability
including Indonesia offshore practice for ALSA
✓ ABSG 100+
✓ ALSASG 50+
✓ ALSAID 50+
© 2017 ABeam Consulting Ltd.Confidential4
ALSA Core Services
Advanced
Analytics
Data
Management
Performance
Management
Core
Services
Capitalizing on Data
Applying latest tools and technologies
to aggregate, transform, and align
data into usable forms & manage it.
• Data Ingestion
• Transformation
• Data Warehousing
• Big Data
• Managing Master Data
• Data Security
Optimizing the Reporting Cycle
Shortening financial reporting cycles by
offering flexible frameworks for financial
Modelling, Planning, Analysis,
Consolidation and Reporting
• Business Planning Forecasting
• Financial Consolidation
• Strategic Planning
• Financial Reporting
Creating Smart Businesses
Helping businesses to leverage their data
to generate insightful information and
drive measurable business initiatives.
• Dashboards & BI
• Predictive Analytics (R)
• Machine Learning
• IOT Analytics
© 2017 ABeam Consulting Ltd.Confidential5
Analytics & Reporting
Technology Partner with Denodo and Tableau
Denodo + Tableau offers seamless integration from your Analytics dashboards to
your data sources
Tableau Platform
Innovations & What’s New
Ian Teoh
Sales Consultant
Tableau helps people and organizations
become more data-driven
Tableau Platform
• Any data, anywhere
• Visualize as you analyze
• Intuitive interface
• Powerful analytics
• No programming
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
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
2015 2016 2017 2018 2019 2020
2019.2
2019.3
2019.4
2020.1
(BETA)
Analytics for everyone, anywhere, with any data
Self-Service Analytics Self-Service
Data Management
AI-powered
Embedded Cloud/On-prem Enterprise ReadyDevelopers
THE PLATFORM
Analytics for everyone, anywhere, with any data
Self-Service Analytics
Tableau is Visual Analytics, NOT Data Visualization
Data Visualization Visual Analysis
Requirements
Questions
Answers
Questions
Questions
vs.
Self service revolution
Analytics for everyone, anywhere, with any data
AI-powered
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.
Ask Data
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
Analytics for everyone, anywhere, with any data
• 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
Build governance and
trust in the data
Richer metadata
More metadata in more places for all users
Data source management
Data quality warnings, certification
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
Self-service data preparation at scale
Tableau Prep Conductor
Tableau Prep Builder
Confidently prepare your data for analysis
Visual & Direct
Smart
Add algorithms to augment human intelligence
Analytics for everyone, anywhere, with any data
Self-Service Analytics Self-Service
Data Management
AI-powered
Embedded Cloud/On-prem Enterprise ReadyDevelopers
THE PLATFORM
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 “
Alex Hoehl
March 2020
34
One of the Biggest Challenges for Analytics: Get the right Data at the right Time
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
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
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
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
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
40
Logical Data Warehouse
41
Logical Data Warehouse
42
Logical Data Warehouse
43
Logical Data Warehouse
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
45
Architectural Diagrams
Seacoast
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
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
Denodo Overview
20 Years Focus on Data
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.
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
Customer Benefits –Summary
How DV contributes to Customers’ Success
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
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
Q&A and Wrap-up
~ by Chris Whitaker
For queries and additional information email jbin@abeam.com
Accelerate Self-Service Analytics with Data Virtualization and Visualization

Accelerate Self-Service Analytics with Data Virtualization and Visualization

  • 1.
    ABeam LightStream Analytics Wednesday,25 March 2020 10am to 11am (SGT)
  • 2.
    © 2017 ABeamConsulting Ltd.Confidential1 10:00am Introductions and Host by ABeam LightStream Analytics ~ by Chris Whitaker 10:10am Tableau - The Game Changer ! What's New in Tableau ~ by Ian Teoh 10:30am Denodo - Accelerate Self Service BI and Analytics using Data Virtualization ~ By Alex Hoehl 10:55am Q&A and Wrap-up ~ by Chris Whitaker Webinar Agenda Accelerate Self-Service Analytics with Data Virtualization and Visualization
  • 3.
    © 2017 ABeamConsulting Ltd.Confidential2 Introduction on ABeam LightStream Analytics Chris Whitaker
  • 4.
    © 2017 ABeamConsulting Ltd.Confidential3 5,900Global headcount (April 1st, 2019) 1981Founded ABeam offices (April 1st, 2019) 28offices, 12countries/areas SingaporeKuala Lumpur Penang Bangkok Jakarta Our Presence in SEA, 700+ resource capability Strategic Partners • IT end-to-end service provider • 2,300+ professionals • Covering across SEA, India, and China • Serving the world-leading global clients Shenzhen Ho Chi Minh City ABeam Office Hong Kong Manila Hanoi Company Highlights Originally a part of Deloitte global network, and an independent global consulting firm since 2003 ABeam Singapore has around 200 resource capability including Indonesia offshore practice for ALSA ✓ ABSG 100+ ✓ ALSASG 50+ ✓ ALSAID 50+
  • 5.
    © 2017 ABeamConsulting Ltd.Confidential4 ALSA Core Services Advanced Analytics Data Management Performance Management Core Services Capitalizing on Data Applying latest tools and technologies to aggregate, transform, and align data into usable forms & manage it. • Data Ingestion • Transformation • Data Warehousing • Big Data • Managing Master Data • Data Security Optimizing the Reporting Cycle Shortening financial reporting cycles by offering flexible frameworks for financial Modelling, Planning, Analysis, Consolidation and Reporting • Business Planning Forecasting • Financial Consolidation • Strategic Planning • Financial Reporting Creating Smart Businesses Helping businesses to leverage their data to generate insightful information and drive measurable business initiatives. • Dashboards & BI • Predictive Analytics (R) • Machine Learning • IOT Analytics
  • 6.
    © 2017 ABeamConsulting Ltd.Confidential5 Analytics & Reporting Technology Partner with Denodo and Tableau Denodo + Tableau offers seamless integration from your Analytics dashboards to your data sources
  • 7.
    Tableau Platform Innovations &What’s New Ian Teoh Sales Consultant
  • 8.
    Tableau helps peopleand organizations become more data-driven
  • 9.
  • 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 & TCEUROPE 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 Paceof 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 VisualAnalytics, NOT Data Visualization Data Visualization Visual Analysis Requirements Questions Answers Questions Questions vs.
  • 17.
  • 18.
    Analytics for everyone,anywhere, with any data AI-powered
  • 19.
    Ask Data • AskData introduces an entirely new way to interact with your data with natural language. • Simply ask a question. Get to your answer faster.
  • 21.
  • 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 foreveryone, anywhere, with any data
  • 24.
    • Get acomplete 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 managedata 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 trustin the data Richer metadata More metadata in more places for all users Data source management Data quality warnings, certification
  • 27.
    Find the rightdata 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 preparationat scale Tableau Prep Conductor Tableau Prep Builder Confidently prepare your data for analysis
  • 29.
  • 30.
    Smart Add algorithms toaugment 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 andorganizations 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 Changingthe Game “Modern, Agile Data and Analytics “ Alex Hoehl March 2020
  • 35.
    34 One of theBiggest Challenges for Analytics: Get the right Data at the right Time
  • 36.
    35 Your IT Landscape? IT DataStorage &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 DataStorage &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 Capabilitiesof 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.
  • 42.
  • 43.
  • 44.
  • 45.
    Business Need SolutionBenefits 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.
  • 47.
    Business Need SolutionBenefits 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 ManufacturerImproves 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 forIoT, 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.
  • 51.
    50 Denodo Company Profile TheLeader 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 Quadrantand 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 HowDV contributes to Customers’ Success
  • 54.
    53 Denodo – TableauNative 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 and Wrap-up ~by Chris Whitaker For queries and additional information email jbin@abeam.com