SlideShare a Scribd company logo
1 of 32
Download to read offline
© 2013 Denodo Technologies
6 Sessions Covering Key Data Integration Challenges
Solved with Data Virtualization
Session 2: Delivering an Agile BI Strategy with
Data Virtualization
Topics covered:
*Making BI agile
*Integrating Big Data
*Combining SOA and Data
Integration
*Enhancing and Extending MDM
and DW
*Creating a single view of your
customer
© 2013 Denodo Technologies
Today’s Speakers
■ Paul Moxon
Senior Director, Product Management
■ Tom Forman
Senior Solutions Consultant
© 2013 Denodo Technologies
Agenda
■ BI Challenges and Issues Addressed by Data
Virtualization
■ Agile BI with DV: Customer Successes
■ Product Demonstration
■ Summary
■ Q&A and Next Steps
© 2013 Denodo Technologies
Agenda
■ BI Challenges and Issues Addressed by Data
Virtualization
■ Agile BI with DV: Customer Successes
■ Product Demonstration
■ Summary
■ Q&A and Next Steps
© 2013 Denodo Technologies
Typical BI Architecture
Real Time
ODS
Subset
Data Marts
Common
Staging
Area
Oracle E-Business
Suite
JDA Supply Chain Salesforce CRM 3rd Party
Federated
Packaged JDA
Supply Chain
Data Marts
Reporting and
Analytical Applications
e-Commerce
Real Time
Data Mining
and Analytics
Real Time Segmentation, Classification,
Qualification, Offerings, etc.
Federated
Marketing
Data
Warehouse
Federated
Financial
Data
Warehouse
© 2013 Denodo Technologies
Existing BI Approaches are not Agile Enough
■ Traditional BI Architecture forces data through several
replicated stages
■ Traditional BI Development process based on the Waterfall
approach
■ Implementing changes in requirements or data sources is
costly and time consuming
■ Constantly rebuilding access points to data instead of reusing
them
■ Backlogs and the high cost of change produce ‘Shadow BI’
■ Traditional approach does not support prototyping to clarify
and reduce analysis and shorten delivery times
■ Traditional BI struggles to provide diversity of data sources
and meet real-time needs of end users
© 2013 Denodo Technologies
Denodo Platform Architecture
© 2013 Denodo Technologies
Traditional BI vs. Agile BI
■ Traditional BI development
• Requires coordination between separate teams
using different tools - requirements (input,
model, output) must be well defined in advance
• Sequential development is costly and risky -
before results can be visualised, all teams must
complete their component
• Data integration usually requires replication -
introducing stale, ‘day old’ data
■ Agile BI using Data Virtualization
• Single design environment enables collaborative
data exploration
• Iterative - results are visualized quickly and can
easily be modified
• Integration via widest range of off-the-shelf
connectors direct to data sources - ensures data
is delivered at the proper freshness
© 2013 Denodo Technologies
Agile BI Use Cases for Data Virtualization
■ Virtual Data Marts
■ Data Warehouse Extension
■ Operational BI
■ Rapid Prototyping
■ Multiple BI Tools
■ Disposable Reports
© 2013 Denodo Technologies
Agenda
■ BI Challenges and Issues Addressed by Data
Virtualization
■ Agile BI with DV: Customer Successes
■ Product Demonstration
■ Summary
■ Q&A and Next Steps
© 2013 Denodo Technologies
Data Virtualization – Customers
Agile Business
Intelligence
Unified View
Big Data,
Cloud Integration Data Services
© 2013 Denodo Technologies
Biogen Idec
■ Biogen Idec uses cutting edge science to discover,
develop, manufacture and market biological products
for the treatment of serious diseases with a focus on
neurological disorders.
■ Headquarters in Weston, Massachusetts
■ About 6,000 employees
■ More than $5.5 billion in revenue
■ Distributors in over 90 countries worldwide
© 2013 Denodo Technologies
Biogen Idec – Data Integration Challenges
© 2013 Denodo Technologies
Biogen Idec – Daily Sales Report
■ Executive report – Global Drug Sales (units) across all
products
• Data gather from global divisions, distributors, etc.
• Combine with internal data (forecasts, budgets)
• Variety of formats (Excel, PDF, text files, Web, …)
■ Business Problem:
• Manual process – 7 hours to produce report
• Data freshness and quality concerns
• Fragile and complex to change
© 2013 Denodo Technologies
Data Services for Agile Reporting and Data Warehouse Extension
Biogen Idec – Agile BI & Reporting
© 2013 Denodo Technologies
Data Services for Agile Reporting and Data Warehouse Extension
Biogen Idec - Results
Key Benefits to Biogen:
■ New reports delivered 60% faster
■ 100% increase in reporting delivery with 40% less analysis
■ Users achieving self-service reports from reusable data services
“Data Virtualization has doubled the number of BI projects we
completed on time; as a Data Warehouse extension Denodo reduces
cost and enriches BI with new data.”
Wilson Hung, Director, Biogen Idec
© 2013 Denodo Technologies
The Climate Corporation
■ Provide a range of weather insurance products to
farmers to protect crops against adverse weather
■ Also provide weather and crop data insights to help
farmers better plan and manage their operations
■ Analyze trillions of scientific data points across
multiple systems
■ Very heterogeneous sources including NoSQL, Cloud
and
■ Adding 30TB of new data per month
© 2013 Denodo Technologies
The Climate Corporation – Data Environment
© 2013 Denodo Technologies
The Climate Corporation – Data Architecture
© 2013 Denodo Technologies
The Climate Corporation - Challenges
■ Source data sets are constantly changing –
different models, storage technology, formats
■ Reporting requirements are fairly
straightforward – but requirements change
frequently
■ Avoid large scale data replication – huge
overhead to build, keep in sync, storage costs
■ Move towards RESTful web interfaces – data as a
service
© 2013 Denodo Technologies
The Climate Corporation – Data Virtualization
© 2013 Denodo Technologies
The Climate Corporation – Results
■ First use-cases for Sales implemented
• 3X improvement in time-to-market with 1/3rd the team
■ Other use-cases
• Risk reporting automation using Hive/Denodo
• Linked data services and BI Portal
• Operational Data Integration
© 2013 Denodo Technologies
Better Quality Information
 Integrate disparate data silos
 Include Web/Cloud, Big Data, unstructured
 Real-time (Right-time) Data Services
Lower Cost & Increased Agility
 Lower delivery costs by 80%
 Flexibility to Change Requirements, add new sources
Fast Time to Solution
 New reports in days, not weeks
 ROI in <6 months
 Adds new IT and Business capabilities
The Benefits of Agile BI
© 2013 Denodo Technologies
Agenda
■ BI Challenges and Issues Addressed by Data
Virtualization
■ Agile BI with DV: Customer Successes
■ Product Demonstration
■ Summary
■ Q&A and Next Steps
© 2013 Denodo Technologies
Demo Overview
■ Company: Telecommunications Provider
• Delivers bundled service packages tailored to customer needs
■ Scenario
• New service package ‘P002’ has had a successful soft rollout
• Marketing campaign is needed to inform potential customers
• Limited marketing resources means efforts must be tightly
focussed
■ Stressed IT – Pain Points:
• Data source migrations/changes
• Changing data requirements from business
• Business demands quick turnaround
© 2013 Denodo Technologies
Agenda
■ BI Challenges and Issues Addressed by Data
Virtualization
■ Agile BI with DV: Customer Successes
■ Product Demonstration
■ Summary
■ Q&A and Next Steps
© 2013 Denodo Technologies
Agile BI Architecture
Source: Rick van der Lans
© 2013 Denodo Technologies
Agile BI – Data Virtualization Benefits
• Increased agility; easier prototyping, development and
testing
• Faster turnaround as extraneous replication processes are
removed
• Business-friendly data views reduce complexity and
encourage reusability for end users
• Data can be enriched with external heterogeneous sources
• Advanced security, performance, governance and caching
features
• More & better data for users, at a much faster speed for
much less cost
© 2013 Denodo Technologies
Agenda
■ BI Challenges and Issues Addressed by Data
Virtualization
■ Agile BI with DV: Customer Successes
■ Product Demonstration
■ Summary
■ Q&A and Next Steps
© 2013 Denodo Technologies
Data Virtualization – Questions?
© 2013 Denodo Technologies
Data Virtualization - Next Steps
Move forward at your own pace
 Whitepaper: Data Virtualisation for Agile Data Provisioning, Bloor Research
http://www.denodo.com/en/resources/whitepapers/dv_agile_data_provisioning/index.php
 Attend Packed Lunch Webinar Sessions – Covering Data Virtualization for…
 Making BI Agile
 Integrating Big Data
 Combining SOA and Data Integration
 Enhancing and Extending MDM and DW
 Creating a Single View of Your Customer
Move forward with one of our Data Virtualization experts
 Phone: (+1) 877-556-2531 (NA) | Email: info@denodo.com
 Phone: (+44) (0)20 7869 8053 (EMEA)
 www.denodo.com
© 2013 Denodo Technologies
Next Session:
Topics covered:
*Making BI agile
*Integrating Big Data
*Combining SOA and Data
Integration
*Enhancing and Extending MDM
and DW
*Creating a single view of your
customer
Thank You!
Leveraging Big Data in your Enterprise with Data
Virtualization
Thursday, May 28th 2014
Register Now

More Related Content

What's hot

Govern and Protect Your End User Information
Govern and Protect Your End User InformationGovern and Protect Your End User Information
Govern and Protect Your End User InformationDenodo
 
Solution Centric Architectural Presentation - Implementing a Logical Data War...
Solution Centric Architectural Presentation - Implementing a Logical Data War...Solution Centric Architectural Presentation - Implementing a Logical Data War...
Solution Centric Architectural Presentation - Implementing a Logical Data War...Denodo
 
Applying Big Data Superpowers to Healthcare
Applying Big Data Superpowers to HealthcareApplying Big Data Superpowers to Healthcare
Applying Big Data Superpowers to HealthcarePaul Boal
 
Data Ninja Webinar Series: Realizing the Promise of Data Lakes
Data Ninja Webinar Series: Realizing the Promise of Data LakesData Ninja Webinar Series: Realizing the Promise of Data Lakes
Data Ninja Webinar Series: Realizing the Promise of Data LakesDenodo
 
Denodo Data Virtualization Platform: Overview (session 1 from Architect to Ar...
Denodo Data Virtualization Platform: Overview (session 1 from Architect to Ar...Denodo Data Virtualization Platform: Overview (session 1 from Architect to Ar...
Denodo Data Virtualization Platform: Overview (session 1 from Architect to Ar...Denodo
 
A Logical Architecture is Always a Flexible Architecture (ASEAN)
A Logical Architecture is Always a Flexible Architecture (ASEAN)A Logical Architecture is Always a Flexible Architecture (ASEAN)
A Logical Architecture is Always a Flexible Architecture (ASEAN)Denodo
 
Technical Demonstration - Denodo Platform 7.0
Technical Demonstration - Denodo Platform 7.0Technical Demonstration - Denodo Platform 7.0
Technical Demonstration - Denodo Platform 7.0Denodo
 
Data Virtualization Journey: How to Grow from Single Project and to Enterpris...
Data Virtualization Journey: How to Grow from Single Project and to Enterpris...Data Virtualization Journey: How to Grow from Single Project and to Enterpris...
Data Virtualization Journey: How to Grow from Single Project and to Enterpris...Denodo
 
Performance Acceleration: Summaries, Recommendation, MPP and more
Performance Acceleration: Summaries, Recommendation, MPP and morePerformance Acceleration: Summaries, Recommendation, MPP and more
Performance Acceleration: Summaries, Recommendation, MPP and moreDenodo
 
Secure Your Data with Virtual Data Fabric (ASEAN)
Secure Your Data with Virtual Data Fabric (ASEAN)Secure Your Data with Virtual Data Fabric (ASEAN)
Secure Your Data with Virtual Data Fabric (ASEAN)Denodo
 
Reinvent Your Data Management Strategy for Successful Digital Transformation
Reinvent Your Data Management Strategy for Successful Digital TransformationReinvent Your Data Management Strategy for Successful Digital Transformation
Reinvent Your Data Management Strategy for Successful Digital TransformationDenodo
 
Self Service Analytics enabled by Data Virtualization from Denodo
Self Service Analytics enabled by Data Virtualization from DenodoSelf Service Analytics enabled by Data Virtualization from Denodo
Self Service Analytics enabled by Data Virtualization from DenodoDenodo
 
An Introduction to Data Virtualization in 2018
An Introduction to Data Virtualization in 2018An Introduction to Data Virtualization in 2018
An Introduction to Data Virtualization in 2018Denodo
 
Denodo’s Data Catalog: Bridging the Gap between Data and Business
Denodo’s Data Catalog: Bridging the Gap between Data and BusinessDenodo’s Data Catalog: Bridging the Gap between Data and Business
Denodo’s Data Catalog: Bridging the Gap between Data and BusinessDenodo
 
Logical Data Warehouse: The Foundation of Modern Data and Analytics (APAC)
Logical Data Warehouse: The Foundation of Modern Data and Analytics (APAC)Logical Data Warehouse: The Foundation of Modern Data and Analytics (APAC)
Logical Data Warehouse: The Foundation of Modern Data and Analytics (APAC)Denodo
 
Simplifying Your Cloud Architecture with a Logical Data Fabric (APAC)
Simplifying Your Cloud Architecture with a Logical Data Fabric (APAC)Simplifying Your Cloud Architecture with a Logical Data Fabric (APAC)
Simplifying Your Cloud Architecture with a Logical Data Fabric (APAC)Denodo
 
Fast and Furious: From POC to an Enterprise Big Data Stack in 2014
Fast and Furious: From POC to an Enterprise Big Data Stack in 2014Fast and Furious: From POC to an Enterprise Big Data Stack in 2014
Fast and Furious: From POC to an Enterprise Big Data Stack in 2014MapR Technologies
 
Why Data Virtualization? An Introduction.
Why Data Virtualization? An Introduction.Why Data Virtualization? An Introduction.
Why Data Virtualization? An Introduction.Denodo
 

What's hot (20)

Govern and Protect Your End User Information
Govern and Protect Your End User InformationGovern and Protect Your End User Information
Govern and Protect Your End User Information
 
Solution Centric Architectural Presentation - Implementing a Logical Data War...
Solution Centric Architectural Presentation - Implementing a Logical Data War...Solution Centric Architectural Presentation - Implementing a Logical Data War...
Solution Centric Architectural Presentation - Implementing a Logical Data War...
 
Applying Big Data Superpowers to Healthcare
Applying Big Data Superpowers to HealthcareApplying Big Data Superpowers to Healthcare
Applying Big Data Superpowers to Healthcare
 
Data Ninja Webinar Series: Realizing the Promise of Data Lakes
Data Ninja Webinar Series: Realizing the Promise of Data LakesData Ninja Webinar Series: Realizing the Promise of Data Lakes
Data Ninja Webinar Series: Realizing the Promise of Data Lakes
 
Denodo Data Virtualization Platform: Overview (session 1 from Architect to Ar...
Denodo Data Virtualization Platform: Overview (session 1 from Architect to Ar...Denodo Data Virtualization Platform: Overview (session 1 from Architect to Ar...
Denodo Data Virtualization Platform: Overview (session 1 from Architect to Ar...
 
A Logical Architecture is Always a Flexible Architecture (ASEAN)
A Logical Architecture is Always a Flexible Architecture (ASEAN)A Logical Architecture is Always a Flexible Architecture (ASEAN)
A Logical Architecture is Always a Flexible Architecture (ASEAN)
 
Technical Demonstration - Denodo Platform 7.0
Technical Demonstration - Denodo Platform 7.0Technical Demonstration - Denodo Platform 7.0
Technical Demonstration - Denodo Platform 7.0
 
DW 101
DW 101DW 101
DW 101
 
Data Virtualization Journey: How to Grow from Single Project and to Enterpris...
Data Virtualization Journey: How to Grow from Single Project and to Enterpris...Data Virtualization Journey: How to Grow from Single Project and to Enterpris...
Data Virtualization Journey: How to Grow from Single Project and to Enterpris...
 
Performance Acceleration: Summaries, Recommendation, MPP and more
Performance Acceleration: Summaries, Recommendation, MPP and morePerformance Acceleration: Summaries, Recommendation, MPP and more
Performance Acceleration: Summaries, Recommendation, MPP and more
 
Secure Your Data with Virtual Data Fabric (ASEAN)
Secure Your Data with Virtual Data Fabric (ASEAN)Secure Your Data with Virtual Data Fabric (ASEAN)
Secure Your Data with Virtual Data Fabric (ASEAN)
 
Reinvent Your Data Management Strategy for Successful Digital Transformation
Reinvent Your Data Management Strategy for Successful Digital TransformationReinvent Your Data Management Strategy for Successful Digital Transformation
Reinvent Your Data Management Strategy for Successful Digital Transformation
 
Self Service Analytics enabled by Data Virtualization from Denodo
Self Service Analytics enabled by Data Virtualization from DenodoSelf Service Analytics enabled by Data Virtualization from Denodo
Self Service Analytics enabled by Data Virtualization from Denodo
 
An Introduction to Data Virtualization in 2018
An Introduction to Data Virtualization in 2018An Introduction to Data Virtualization in 2018
An Introduction to Data Virtualization in 2018
 
Denodo’s Data Catalog: Bridging the Gap between Data and Business
Denodo’s Data Catalog: Bridging the Gap between Data and BusinessDenodo’s Data Catalog: Bridging the Gap between Data and Business
Denodo’s Data Catalog: Bridging the Gap between Data and Business
 
Logical Data Warehouse: The Foundation of Modern Data and Analytics (APAC)
Logical Data Warehouse: The Foundation of Modern Data and Analytics (APAC)Logical Data Warehouse: The Foundation of Modern Data and Analytics (APAC)
Logical Data Warehouse: The Foundation of Modern Data and Analytics (APAC)
 
Simplifying Your Cloud Architecture with a Logical Data Fabric (APAC)
Simplifying Your Cloud Architecture with a Logical Data Fabric (APAC)Simplifying Your Cloud Architecture with a Logical Data Fabric (APAC)
Simplifying Your Cloud Architecture with a Logical Data Fabric (APAC)
 
Fast and Furious: From POC to an Enterprise Big Data Stack in 2014
Fast and Furious: From POC to an Enterprise Big Data Stack in 2014Fast and Furious: From POC to an Enterprise Big Data Stack in 2014
Fast and Furious: From POC to an Enterprise Big Data Stack in 2014
 
Data Vault Introduction
Data Vault IntroductionData Vault Introduction
Data Vault Introduction
 
Why Data Virtualization? An Introduction.
Why Data Virtualization? An Introduction.Why Data Virtualization? An Introduction.
Why Data Virtualization? An Introduction.
 

Viewers also liked

Agile BI: How to Deliver More Value in Less Time
Agile BI: How to Deliver More Value in Less TimeAgile BI: How to Deliver More Value in Less Time
Agile BI: How to Deliver More Value in Less TimePerficient, Inc.
 
iRT - управление ассортиментом, торговым и полочным пространством
iRT - управление ассортиментом, торговым и полочным пространствомiRT - управление ассортиментом, торговым и полочным пространством
iRT - управление ассортиментом, торговым и полочным пространствомmilkybrothers
 
Big data, Cloud, and the NOAA CRADA at The Climate Corporation
Big data, Cloud, and the NOAA CRADA at The Climate CorporationBig data, Cloud, and the NOAA CRADA at The Climate Corporation
Big data, Cloud, and the NOAA CRADA at The Climate CorporationValliappa Lakshmanan
 
ИТ – эффективный инструмент: цифры и факты
ИТ – эффективный инструмент: цифры и фактыИТ – эффективный инструмент: цифры и факты
ИТ – эффективный инструмент: цифры и фактыКРОК
 
Climate Corporation: From Open Data to Risk and Farm Management Products for ...
Climate Corporation: From Open Data to Risk and Farm Management Products for ...Climate Corporation: From Open Data to Risk and Farm Management Products for ...
Climate Corporation: From Open Data to Risk and Farm Management Products for ...WorldBankGroupFinances
 
JDA Software Supply Chain Now
JDA Software Supply Chain NowJDA Software Supply Chain Now
JDA Software Supply Chain NowJDA Software
 
Agile Business Intelligence
Agile Business IntelligenceAgile Business Intelligence
Agile Business IntelligenceDon Jackson
 
Predictive analytics in the agriculture industry
Predictive analytics in the agriculture industryPredictive analytics in the agriculture industry
Predictive analytics in the agriculture industryRefresh Annapolis Valley
 
Tier 1 WMS in the Cloud
Tier 1 WMS in the CloudTier 1 WMS in the Cloud
Tier 1 WMS in the CloudJoe Vernon
 
Digital agriculture - the implications of the digital economy for the agricu...
Digital agriculture  - the implications of the digital economy for the agricu...Digital agriculture  - the implications of the digital economy for the agricu...
Digital agriculture - the implications of the digital economy for the agricu...Symphony3
 
Data analytics for agriculture
Data analytics for agricultureData analytics for agriculture
Data analytics for agricultureData Portal India
 
Big Data Analytics Strategy and Roadmap
Big Data Analytics Strategy and RoadmapBig Data Analytics Strategy and Roadmap
Big Data Analytics Strategy and RoadmapSrinath Perera
 
Презентация Optimal Management
Презентация Optimal ManagementПрезентация Optimal Management
Презентация Optimal ManagementAndrey Sukhobokov
 
Building A Bi Strategy
Building A Bi StrategyBuilding A Bi Strategy
Building A Bi Strategylarryzagata
 

Viewers also liked (19)

Agile BI: How to Deliver More Value in Less Time
Agile BI: How to Deliver More Value in Less TimeAgile BI: How to Deliver More Value in Less Time
Agile BI: How to Deliver More Value in Less Time
 
iRT - управление ассортиментом, торговым и полочным пространством
iRT - управление ассортиментом, торговым и полочным пространствомiRT - управление ассортиментом, торговым и полочным пространством
iRT - управление ассортиментом, торговым и полочным пространством
 
ForecastNow
ForecastNowForecastNow
ForecastNow
 
Big data, Cloud, and the NOAA CRADA at The Climate Corporation
Big data, Cloud, and the NOAA CRADA at The Climate CorporationBig data, Cloud, and the NOAA CRADA at The Climate Corporation
Big data, Cloud, and the NOAA CRADA at The Climate Corporation
 
It in retail
It in retailIt in retail
It in retail
 
ИТ – эффективный инструмент: цифры и факты
ИТ – эффективный инструмент: цифры и фактыИТ – эффективный инструмент: цифры и факты
ИТ – эффективный инструмент: цифры и факты
 
Climate Corporation: From Open Data to Risk and Farm Management Products for ...
Climate Corporation: From Open Data to Risk and Farm Management Products for ...Climate Corporation: From Open Data to Risk and Farm Management Products for ...
Climate Corporation: From Open Data to Risk and Farm Management Products for ...
 
Managing Challenges In Your JDA Environment
Managing Challenges In Your JDA EnvironmentManaging Challenges In Your JDA Environment
Managing Challenges In Your JDA Environment
 
JDA Software Supply Chain Now
JDA Software Supply Chain NowJDA Software Supply Chain Now
JDA Software Supply Chain Now
 
jda 2015 v3
jda  2015 v3jda  2015 v3
jda 2015 v3
 
Agile Business Intelligence
Agile Business IntelligenceAgile Business Intelligence
Agile Business Intelligence
 
Predictive analytics in the agriculture industry
Predictive analytics in the agriculture industryPredictive analytics in the agriculture industry
Predictive analytics in the agriculture industry
 
Tier 1 WMS in the Cloud
Tier 1 WMS in the CloudTier 1 WMS in the Cloud
Tier 1 WMS in the Cloud
 
Digital agriculture - the implications of the digital economy for the agricu...
Digital agriculture  - the implications of the digital economy for the agricu...Digital agriculture  - the implications of the digital economy for the agricu...
Digital agriculture - the implications of the digital economy for the agricu...
 
Data analytics for agriculture
Data analytics for agricultureData analytics for agriculture
Data analytics for agriculture
 
8 Steps to Creating a Data Strategy
8 Steps to Creating a Data Strategy8 Steps to Creating a Data Strategy
8 Steps to Creating a Data Strategy
 
Big Data Analytics Strategy and Roadmap
Big Data Analytics Strategy and RoadmapBig Data Analytics Strategy and Roadmap
Big Data Analytics Strategy and Roadmap
 
Презентация Optimal Management
Презентация Optimal ManagementПрезентация Optimal Management
Презентация Optimal Management
 
Building A Bi Strategy
Building A Bi StrategyBuilding A Bi Strategy
Building A Bi Strategy
 

Similar to Agile BI with Data Virtualization (session 2 from Packed Lunch Webinar Series)

Introduction to Data Virtualization (session 1 from Packed Lunch Webinar Series)
Introduction to Data Virtualization (session 1 from Packed Lunch Webinar Series)Introduction to Data Virtualization (session 1 from Packed Lunch Webinar Series)
Introduction to Data Virtualization (session 1 from Packed Lunch Webinar Series)Denodo
 
SOA with Data Virtualization (session 4 from Packed Lunch Webinar Series)
SOA with Data Virtualization (session 4 from Packed Lunch Webinar Series)SOA with Data Virtualization (session 4 from Packed Lunch Webinar Series)
SOA with Data Virtualization (session 4 from Packed Lunch Webinar Series)Denodo
 
Innovative Data Strategies for Advanced Analytics Solutions and the Role of D...
Innovative Data Strategies for Advanced Analytics Solutions and the Role of D...Innovative Data Strategies for Advanced Analytics Solutions and the Role of D...
Innovative Data Strategies for Advanced Analytics Solutions and the Role of D...Denodo
 
Logical Data Fabric: Maturing Implementation from Small to Big (APAC)
Logical Data Fabric: Maturing Implementation from Small to Big (APAC)Logical Data Fabric: Maturing Implementation from Small to Big (APAC)
Logical Data Fabric: Maturing Implementation from Small to Big (APAC)Denodo
 
Analyst Webinar: Best Practices In Enabling Data-Driven Decision Making
Analyst Webinar: Best Practices In Enabling Data-Driven Decision MakingAnalyst Webinar: Best Practices In Enabling Data-Driven Decision Making
Analyst Webinar: Best Practices In Enabling Data-Driven Decision MakingDenodo
 
Self-Service Analytics with Guard Rails
Self-Service Analytics with Guard RailsSelf-Service Analytics with Guard Rails
Self-Service Analytics with Guard RailsDenodo
 
[Webinar] - Adopt QAD & Progress DBA Global Shared Services to Deliver Cost O...
[Webinar] - Adopt QAD & Progress DBA Global Shared Services to Deliver Cost O...[Webinar] - Adopt QAD & Progress DBA Global Shared Services to Deliver Cost O...
[Webinar] - Adopt QAD & Progress DBA Global Shared Services to Deliver Cost O...JK Tech
 
Denodo DataFest 2016: ROI Justification in Data Virtualization
Denodo DataFest 2016: ROI Justification in Data VirtualizationDenodo DataFest 2016: ROI Justification in Data Virtualization
Denodo DataFest 2016: ROI Justification in Data VirtualizationDenodo
 
Rethink Your 2021 Data Management Strategy with Data Virtualization (ASEAN)
Rethink Your 2021 Data Management Strategy with Data Virtualization (ASEAN)Rethink Your 2021 Data Management Strategy with Data Virtualization (ASEAN)
Rethink Your 2021 Data Management Strategy with Data Virtualization (ASEAN)Denodo
 
Bridging the Last Mile: Getting Data to the People Who Need It (APAC)
Bridging the Last Mile: Getting Data to the People Who Need It (APAC)Bridging the Last Mile: Getting Data to the People Who Need It (APAC)
Bridging the Last Mile: Getting Data to the People Who Need It (APAC)Denodo
 
A Key to Real-time Insights in a Post-COVID World (ASEAN)
A Key to Real-time Insights in a Post-COVID World (ASEAN)A Key to Real-time Insights in a Post-COVID World (ASEAN)
A Key to Real-time Insights in a Post-COVID World (ASEAN)Denodo
 
Connecta Event: Big Query och dataanalys med Google Cloud Platform
Connecta Event: Big Query och dataanalys med Google Cloud PlatformConnecta Event: Big Query och dataanalys med Google Cloud Platform
Connecta Event: Big Query och dataanalys med Google Cloud PlatformConnectaDigital
 
Analytics in the Cloud and the ROI for B2B
Analytics in the Cloud and the ROI for B2BAnalytics in the Cloud and the ROI for B2B
Analytics in the Cloud and the ROI for B2BVeronica Kirn
 
Education Seminar: Self-service BI, Logical Data Warehouse and Data Lakes
Education Seminar: Self-service BI, Logical Data Warehouse and Data LakesEducation Seminar: Self-service BI, Logical Data Warehouse and Data Lakes
Education Seminar: Self-service BI, Logical Data Warehouse and Data LakesDenodo
 
OpenWorld: 4 Real-world Cloud Migration Case Studies
OpenWorld: 4 Real-world Cloud Migration Case StudiesOpenWorld: 4 Real-world Cloud Migration Case Studies
OpenWorld: 4 Real-world Cloud Migration Case StudiesDatavail
 
Maximizing Oil and Gas (Data) Asset Utilization with a Logical Data Fabric (A...
Maximizing Oil and Gas (Data) Asset Utilization with a Logical Data Fabric (A...Maximizing Oil and Gas (Data) Asset Utilization with a Logical Data Fabric (A...
Maximizing Oil and Gas (Data) Asset Utilization with a Logical Data Fabric (A...Denodo
 
By Thoughtworks | Building data as a product: The key to unlocking Data Mesh'...
By Thoughtworks | Building data as a product: The key to unlocking Data Mesh'...By Thoughtworks | Building data as a product: The key to unlocking Data Mesh'...
By Thoughtworks | Building data as a product: The key to unlocking Data Mesh'...IngridBuenaventura
 
Best Practices in Moving Hyperion Planning to the Cloud
Best Practices in Moving Hyperion Planning to the CloudBest Practices in Moving Hyperion Planning to the Cloud
Best Practices in Moving Hyperion Planning to the CloudDatavail
 
Des serveurs créés pour vos usages specifiques, vous en avez reve HP l'a fait.
Des serveurs créés pour vos usages specifiques, vous en avez reve HP l'a fait.Des serveurs créés pour vos usages specifiques, vous en avez reve HP l'a fait.
Des serveurs créés pour vos usages specifiques, vous en avez reve HP l'a fait.Microsoft Décideurs IT
 
Des serveurs créés pour vos usages specifiques, vous en avez reve HP l'a fait.
Des serveurs créés pour vos usages specifiques, vous en avez reve HP l'a fait.Des serveurs créés pour vos usages specifiques, vous en avez reve HP l'a fait.
Des serveurs créés pour vos usages specifiques, vous en avez reve HP l'a fait.Microsoft Technet France
 

Similar to Agile BI with Data Virtualization (session 2 from Packed Lunch Webinar Series) (20)

Introduction to Data Virtualization (session 1 from Packed Lunch Webinar Series)
Introduction to Data Virtualization (session 1 from Packed Lunch Webinar Series)Introduction to Data Virtualization (session 1 from Packed Lunch Webinar Series)
Introduction to Data Virtualization (session 1 from Packed Lunch Webinar Series)
 
SOA with Data Virtualization (session 4 from Packed Lunch Webinar Series)
SOA with Data Virtualization (session 4 from Packed Lunch Webinar Series)SOA with Data Virtualization (session 4 from Packed Lunch Webinar Series)
SOA with Data Virtualization (session 4 from Packed Lunch Webinar Series)
 
Innovative Data Strategies for Advanced Analytics Solutions and the Role of D...
Innovative Data Strategies for Advanced Analytics Solutions and the Role of D...Innovative Data Strategies for Advanced Analytics Solutions and the Role of D...
Innovative Data Strategies for Advanced Analytics Solutions and the Role of D...
 
Logical Data Fabric: Maturing Implementation from Small to Big (APAC)
Logical Data Fabric: Maturing Implementation from Small to Big (APAC)Logical Data Fabric: Maturing Implementation from Small to Big (APAC)
Logical Data Fabric: Maturing Implementation from Small to Big (APAC)
 
Analyst Webinar: Best Practices In Enabling Data-Driven Decision Making
Analyst Webinar: Best Practices In Enabling Data-Driven Decision MakingAnalyst Webinar: Best Practices In Enabling Data-Driven Decision Making
Analyst Webinar: Best Practices In Enabling Data-Driven Decision Making
 
Self-Service Analytics with Guard Rails
Self-Service Analytics with Guard RailsSelf-Service Analytics with Guard Rails
Self-Service Analytics with Guard Rails
 
[Webinar] - Adopt QAD & Progress DBA Global Shared Services to Deliver Cost O...
[Webinar] - Adopt QAD & Progress DBA Global Shared Services to Deliver Cost O...[Webinar] - Adopt QAD & Progress DBA Global Shared Services to Deliver Cost O...
[Webinar] - Adopt QAD & Progress DBA Global Shared Services to Deliver Cost O...
 
Denodo DataFest 2016: ROI Justification in Data Virtualization
Denodo DataFest 2016: ROI Justification in Data VirtualizationDenodo DataFest 2016: ROI Justification in Data Virtualization
Denodo DataFest 2016: ROI Justification in Data Virtualization
 
Rethink Your 2021 Data Management Strategy with Data Virtualization (ASEAN)
Rethink Your 2021 Data Management Strategy with Data Virtualization (ASEAN)Rethink Your 2021 Data Management Strategy with Data Virtualization (ASEAN)
Rethink Your 2021 Data Management Strategy with Data Virtualization (ASEAN)
 
Bridging the Last Mile: Getting Data to the People Who Need It (APAC)
Bridging the Last Mile: Getting Data to the People Who Need It (APAC)Bridging the Last Mile: Getting Data to the People Who Need It (APAC)
Bridging the Last Mile: Getting Data to the People Who Need It (APAC)
 
A Key to Real-time Insights in a Post-COVID World (ASEAN)
A Key to Real-time Insights in a Post-COVID World (ASEAN)A Key to Real-time Insights in a Post-COVID World (ASEAN)
A Key to Real-time Insights in a Post-COVID World (ASEAN)
 
Connecta Event: Big Query och dataanalys med Google Cloud Platform
Connecta Event: Big Query och dataanalys med Google Cloud PlatformConnecta Event: Big Query och dataanalys med Google Cloud Platform
Connecta Event: Big Query och dataanalys med Google Cloud Platform
 
Analytics in the Cloud and the ROI for B2B
Analytics in the Cloud and the ROI for B2BAnalytics in the Cloud and the ROI for B2B
Analytics in the Cloud and the ROI for B2B
 
Education Seminar: Self-service BI, Logical Data Warehouse and Data Lakes
Education Seminar: Self-service BI, Logical Data Warehouse and Data LakesEducation Seminar: Self-service BI, Logical Data Warehouse and Data Lakes
Education Seminar: Self-service BI, Logical Data Warehouse and Data Lakes
 
OpenWorld: 4 Real-world Cloud Migration Case Studies
OpenWorld: 4 Real-world Cloud Migration Case StudiesOpenWorld: 4 Real-world Cloud Migration Case Studies
OpenWorld: 4 Real-world Cloud Migration Case Studies
 
Maximizing Oil and Gas (Data) Asset Utilization with a Logical Data Fabric (A...
Maximizing Oil and Gas (Data) Asset Utilization with a Logical Data Fabric (A...Maximizing Oil and Gas (Data) Asset Utilization with a Logical Data Fabric (A...
Maximizing Oil and Gas (Data) Asset Utilization with a Logical Data Fabric (A...
 
By Thoughtworks | Building data as a product: The key to unlocking Data Mesh'...
By Thoughtworks | Building data as a product: The key to unlocking Data Mesh'...By Thoughtworks | Building data as a product: The key to unlocking Data Mesh'...
By Thoughtworks | Building data as a product: The key to unlocking Data Mesh'...
 
Best Practices in Moving Hyperion Planning to the Cloud
Best Practices in Moving Hyperion Planning to the CloudBest Practices in Moving Hyperion Planning to the Cloud
Best Practices in Moving Hyperion Planning to the Cloud
 
Des serveurs créés pour vos usages specifiques, vous en avez reve HP l'a fait.
Des serveurs créés pour vos usages specifiques, vous en avez reve HP l'a fait.Des serveurs créés pour vos usages specifiques, vous en avez reve HP l'a fait.
Des serveurs créés pour vos usages specifiques, vous en avez reve HP l'a fait.
 
Des serveurs créés pour vos usages specifiques, vous en avez reve HP l'a fait.
Des serveurs créés pour vos usages specifiques, vous en avez reve HP l'a fait.Des serveurs créés pour vos usages specifiques, vous en avez reve HP l'a fait.
Des serveurs créés pour vos usages specifiques, vous en avez reve HP l'a fait.
 

More from Denodo

Enterprise Monitoring and Auditing in Denodo
Enterprise Monitoring and Auditing in DenodoEnterprise Monitoring and Auditing in Denodo
Enterprise Monitoring and Auditing in DenodoDenodo
 
Lunch and Learn ANZ: Mastering Cloud Data Cost Control: A FinOps Approach
Lunch and Learn ANZ: Mastering Cloud Data Cost Control: A FinOps ApproachLunch and Learn ANZ: Mastering Cloud Data Cost Control: A FinOps Approach
Lunch and Learn ANZ: Mastering Cloud Data Cost Control: A FinOps ApproachDenodo
 
Achieving Self-Service Analytics with a Governed Data Services Layer
Achieving Self-Service Analytics with a Governed Data Services LayerAchieving Self-Service Analytics with a Governed Data Services Layer
Achieving Self-Service Analytics with a Governed Data Services LayerDenodo
 
What you need to know about Generative AI and Data Management?
What you need to know about Generative AI and Data Management?What you need to know about Generative AI and Data Management?
What you need to know about Generative AI and Data Management?Denodo
 
Mastering Data Compliance in a Dynamic Business Landscape
Mastering Data Compliance in a Dynamic Business LandscapeMastering Data Compliance in a Dynamic Business Landscape
Mastering Data Compliance in a Dynamic Business LandscapeDenodo
 
Denodo Partner Connect: Business Value Demo with Denodo Demo Lite
Denodo Partner Connect: Business Value Demo with Denodo Demo LiteDenodo Partner Connect: Business Value Demo with Denodo Demo Lite
Denodo Partner Connect: Business Value Demo with Denodo Demo LiteDenodo
 
Expert Panel: Overcoming Challenges with Distributed Data to Maximize Busines...
Expert Panel: Overcoming Challenges with Distributed Data to Maximize Busines...Expert Panel: Overcoming Challenges with Distributed Data to Maximize Busines...
Expert Panel: Overcoming Challenges with Distributed Data to Maximize Busines...Denodo
 
Drive Data Privacy Regulatory Compliance
Drive Data Privacy Regulatory ComplianceDrive Data Privacy Regulatory Compliance
Drive Data Privacy Regulatory ComplianceDenodo
 
Знакомство с виртуализацией данных для профессионалов в области данных
Знакомство с виртуализацией данных для профессионалов в области данныхЗнакомство с виртуализацией данных для профессионалов в области данных
Знакомство с виртуализацией данных для профессионалов в области данныхDenodo
 
Data Democratization: A Secret Sauce to Say Goodbye to Data Fragmentation
Data Democratization: A Secret Sauce to Say Goodbye to Data FragmentationData Democratization: A Secret Sauce to Say Goodbye to Data Fragmentation
Data Democratization: A Secret Sauce to Say Goodbye to Data FragmentationDenodo
 
Denodo Partner Connect - Technical Webinar - Ask Me Anything
Denodo Partner Connect - Technical Webinar - Ask Me AnythingDenodo Partner Connect - Technical Webinar - Ask Me Anything
Denodo Partner Connect - Technical Webinar - Ask Me AnythingDenodo
 
Lunch and Learn ANZ: Key Takeaways for 2023!
Lunch and Learn ANZ: Key Takeaways for 2023!Lunch and Learn ANZ: Key Takeaways for 2023!
Lunch and Learn ANZ: Key Takeaways for 2023!Denodo
 
It’s a Wrap! 2023 – A Groundbreaking Year for AI and The Way Forward
It’s a Wrap! 2023 – A Groundbreaking Year for AI and The Way ForwardIt’s a Wrap! 2023 – A Groundbreaking Year for AI and The Way Forward
It’s a Wrap! 2023 – A Groundbreaking Year for AI and The Way ForwardDenodo
 
Quels sont les facteurs-clés de succès pour appliquer au mieux le RGPD à votr...
Quels sont les facteurs-clés de succès pour appliquer au mieux le RGPD à votr...Quels sont les facteurs-clés de succès pour appliquer au mieux le RGPD à votr...
Quels sont les facteurs-clés de succès pour appliquer au mieux le RGPD à votr...Denodo
 
Lunch and Learn ANZ: Achieving Self-Service Analytics with a Governed Data Se...
Lunch and Learn ANZ: Achieving Self-Service Analytics with a Governed Data Se...Lunch and Learn ANZ: Achieving Self-Service Analytics with a Governed Data Se...
Lunch and Learn ANZ: Achieving Self-Service Analytics with a Governed Data Se...Denodo
 
How to Build Your Data Marketplace with Data Virtualization?
How to Build Your Data Marketplace with Data Virtualization?How to Build Your Data Marketplace with Data Virtualization?
How to Build Your Data Marketplace with Data Virtualization?Denodo
 
Webinar #2 - Transforming Challenges into Opportunities for Credit Unions
Webinar #2 - Transforming Challenges into Opportunities for Credit UnionsWebinar #2 - Transforming Challenges into Opportunities for Credit Unions
Webinar #2 - Transforming Challenges into Opportunities for Credit UnionsDenodo
 
Enabling Data Catalog users with advanced usability
Enabling Data Catalog users with advanced usabilityEnabling Data Catalog users with advanced usability
Enabling Data Catalog users with advanced usabilityDenodo
 
Denodo Partner Connect: Technical Webinar - Architect Associate Certification...
Denodo Partner Connect: Technical Webinar - Architect Associate Certification...Denodo Partner Connect: Technical Webinar - Architect Associate Certification...
Denodo Partner Connect: Technical Webinar - Architect Associate Certification...Denodo
 
GenAI y el futuro de la gestión de datos: mitos y realidades
GenAI y el futuro de la gestión de datos: mitos y realidadesGenAI y el futuro de la gestión de datos: mitos y realidades
GenAI y el futuro de la gestión de datos: mitos y realidadesDenodo
 

More from Denodo (20)

Enterprise Monitoring and Auditing in Denodo
Enterprise Monitoring and Auditing in DenodoEnterprise Monitoring and Auditing in Denodo
Enterprise Monitoring and Auditing in Denodo
 
Lunch and Learn ANZ: Mastering Cloud Data Cost Control: A FinOps Approach
Lunch and Learn ANZ: Mastering Cloud Data Cost Control: A FinOps ApproachLunch and Learn ANZ: Mastering Cloud Data Cost Control: A FinOps Approach
Lunch and Learn ANZ: Mastering Cloud Data Cost Control: A FinOps Approach
 
Achieving Self-Service Analytics with a Governed Data Services Layer
Achieving Self-Service Analytics with a Governed Data Services LayerAchieving Self-Service Analytics with a Governed Data Services Layer
Achieving Self-Service Analytics with a Governed Data Services Layer
 
What you need to know about Generative AI and Data Management?
What you need to know about Generative AI and Data Management?What you need to know about Generative AI and Data Management?
What you need to know about Generative AI and Data Management?
 
Mastering Data Compliance in a Dynamic Business Landscape
Mastering Data Compliance in a Dynamic Business LandscapeMastering Data Compliance in a Dynamic Business Landscape
Mastering Data Compliance in a Dynamic Business Landscape
 
Denodo Partner Connect: Business Value Demo with Denodo Demo Lite
Denodo Partner Connect: Business Value Demo with Denodo Demo LiteDenodo Partner Connect: Business Value Demo with Denodo Demo Lite
Denodo Partner Connect: Business Value Demo with Denodo Demo Lite
 
Expert Panel: Overcoming Challenges with Distributed Data to Maximize Busines...
Expert Panel: Overcoming Challenges with Distributed Data to Maximize Busines...Expert Panel: Overcoming Challenges with Distributed Data to Maximize Busines...
Expert Panel: Overcoming Challenges with Distributed Data to Maximize Busines...
 
Drive Data Privacy Regulatory Compliance
Drive Data Privacy Regulatory ComplianceDrive Data Privacy Regulatory Compliance
Drive Data Privacy Regulatory Compliance
 
Знакомство с виртуализацией данных для профессионалов в области данных
Знакомство с виртуализацией данных для профессионалов в области данныхЗнакомство с виртуализацией данных для профессионалов в области данных
Знакомство с виртуализацией данных для профессионалов в области данных
 
Data Democratization: A Secret Sauce to Say Goodbye to Data Fragmentation
Data Democratization: A Secret Sauce to Say Goodbye to Data FragmentationData Democratization: A Secret Sauce to Say Goodbye to Data Fragmentation
Data Democratization: A Secret Sauce to Say Goodbye to Data Fragmentation
 
Denodo Partner Connect - Technical Webinar - Ask Me Anything
Denodo Partner Connect - Technical Webinar - Ask Me AnythingDenodo Partner Connect - Technical Webinar - Ask Me Anything
Denodo Partner Connect - Technical Webinar - Ask Me Anything
 
Lunch and Learn ANZ: Key Takeaways for 2023!
Lunch and Learn ANZ: Key Takeaways for 2023!Lunch and Learn ANZ: Key Takeaways for 2023!
Lunch and Learn ANZ: Key Takeaways for 2023!
 
It’s a Wrap! 2023 – A Groundbreaking Year for AI and The Way Forward
It’s a Wrap! 2023 – A Groundbreaking Year for AI and The Way ForwardIt’s a Wrap! 2023 – A Groundbreaking Year for AI and The Way Forward
It’s a Wrap! 2023 – A Groundbreaking Year for AI and The Way Forward
 
Quels sont les facteurs-clés de succès pour appliquer au mieux le RGPD à votr...
Quels sont les facteurs-clés de succès pour appliquer au mieux le RGPD à votr...Quels sont les facteurs-clés de succès pour appliquer au mieux le RGPD à votr...
Quels sont les facteurs-clés de succès pour appliquer au mieux le RGPD à votr...
 
Lunch and Learn ANZ: Achieving Self-Service Analytics with a Governed Data Se...
Lunch and Learn ANZ: Achieving Self-Service Analytics with a Governed Data Se...Lunch and Learn ANZ: Achieving Self-Service Analytics with a Governed Data Se...
Lunch and Learn ANZ: Achieving Self-Service Analytics with a Governed Data Se...
 
How to Build Your Data Marketplace with Data Virtualization?
How to Build Your Data Marketplace with Data Virtualization?How to Build Your Data Marketplace with Data Virtualization?
How to Build Your Data Marketplace with Data Virtualization?
 
Webinar #2 - Transforming Challenges into Opportunities for Credit Unions
Webinar #2 - Transforming Challenges into Opportunities for Credit UnionsWebinar #2 - Transforming Challenges into Opportunities for Credit Unions
Webinar #2 - Transforming Challenges into Opportunities for Credit Unions
 
Enabling Data Catalog users with advanced usability
Enabling Data Catalog users with advanced usabilityEnabling Data Catalog users with advanced usability
Enabling Data Catalog users with advanced usability
 
Denodo Partner Connect: Technical Webinar - Architect Associate Certification...
Denodo Partner Connect: Technical Webinar - Architect Associate Certification...Denodo Partner Connect: Technical Webinar - Architect Associate Certification...
Denodo Partner Connect: Technical Webinar - Architect Associate Certification...
 
GenAI y el futuro de la gestión de datos: mitos y realidades
GenAI y el futuro de la gestión de datos: mitos y realidadesGenAI y el futuro de la gestión de datos: mitos y realidades
GenAI y el futuro de la gestión de datos: mitos y realidades
 

Recently uploaded

Decision Making Under Uncertainty - Is It Better Off Joining a Partnership or...
Decision Making Under Uncertainty - Is It Better Off Joining a Partnership or...Decision Making Under Uncertainty - Is It Better Off Joining a Partnership or...
Decision Making Under Uncertainty - Is It Better Off Joining a Partnership or...ThinkInnovation
 
Decoding Movie Sentiments: Analyzing Reviews with Data Analysis model
Decoding Movie Sentiments: Analyzing Reviews with Data Analysis modelDecoding Movie Sentiments: Analyzing Reviews with Data Analysis model
Decoding Movie Sentiments: Analyzing Reviews with Data Analysis modelBoston Institute of Analytics
 
DATA ANALYSIS using various data sets like shoping data set etc
DATA ANALYSIS using various data sets like shoping data set etcDATA ANALYSIS using various data sets like shoping data set etc
DATA ANALYSIS using various data sets like shoping data set etclalithasri22
 
Role of Consumer Insights in business transformation
Role of Consumer Insights in business transformationRole of Consumer Insights in business transformation
Role of Consumer Insights in business transformationAnnie Melnic
 
why-transparency-and-traceability-are-essential-for-sustainable-supply-chains...
why-transparency-and-traceability-are-essential-for-sustainable-supply-chains...why-transparency-and-traceability-are-essential-for-sustainable-supply-chains...
why-transparency-and-traceability-are-essential-for-sustainable-supply-chains...Jack Cole
 
6 Tips for Interpretable Topic Models _ by Nicha Ruchirawat _ Towards Data Sc...
6 Tips for Interpretable Topic Models _ by Nicha Ruchirawat _ Towards Data Sc...6 Tips for Interpretable Topic Models _ by Nicha Ruchirawat _ Towards Data Sc...
6 Tips for Interpretable Topic Models _ by Nicha Ruchirawat _ Towards Data Sc...Dr Arash Najmaei ( Phd., MBA, BSc)
 
IBEF report on the Insurance market in India
IBEF report on the Insurance market in IndiaIBEF report on the Insurance market in India
IBEF report on the Insurance market in IndiaManalVerma4
 
Statistics For Management by Richard I. Levin 8ed.pdf
Statistics For Management by Richard I. Levin 8ed.pdfStatistics For Management by Richard I. Levin 8ed.pdf
Statistics For Management by Richard I. Levin 8ed.pdfnikeshsingh56
 
Presentation of project of business person who are success
Presentation of project of business person who are successPresentation of project of business person who are success
Presentation of project of business person who are successPratikSingh115843
 
Bank Loan Approval Analysis: A Comprehensive Data Analysis Project
Bank Loan Approval Analysis: A Comprehensive Data Analysis ProjectBank Loan Approval Analysis: A Comprehensive Data Analysis Project
Bank Loan Approval Analysis: A Comprehensive Data Analysis ProjectBoston Institute of Analytics
 
Predictive Analysis - Using Insight-informed Data to Plan Inventory in Next 6...
Predictive Analysis - Using Insight-informed Data to Plan Inventory in Next 6...Predictive Analysis - Using Insight-informed Data to Plan Inventory in Next 6...
Predictive Analysis - Using Insight-informed Data to Plan Inventory in Next 6...ThinkInnovation
 
Data Analysis Project Presentation: Unveiling Your Ideal Customer, Bank Custo...
Data Analysis Project Presentation: Unveiling Your Ideal Customer, Bank Custo...Data Analysis Project Presentation: Unveiling Your Ideal Customer, Bank Custo...
Data Analysis Project Presentation: Unveiling Your Ideal Customer, Bank Custo...Boston Institute of Analytics
 
Digital Indonesia Report 2024 by We Are Social .pdf
Digital Indonesia Report 2024 by We Are Social .pdfDigital Indonesia Report 2024 by We Are Social .pdf
Digital Indonesia Report 2024 by We Are Social .pdfNicoChristianSunaryo
 

Recently uploaded (16)

Decision Making Under Uncertainty - Is It Better Off Joining a Partnership or...
Decision Making Under Uncertainty - Is It Better Off Joining a Partnership or...Decision Making Under Uncertainty - Is It Better Off Joining a Partnership or...
Decision Making Under Uncertainty - Is It Better Off Joining a Partnership or...
 
Decoding Movie Sentiments: Analyzing Reviews with Data Analysis model
Decoding Movie Sentiments: Analyzing Reviews with Data Analysis modelDecoding Movie Sentiments: Analyzing Reviews with Data Analysis model
Decoding Movie Sentiments: Analyzing Reviews with Data Analysis model
 
Insurance Churn Prediction Data Analysis Project
Insurance Churn Prediction Data Analysis ProjectInsurance Churn Prediction Data Analysis Project
Insurance Churn Prediction Data Analysis Project
 
DATA ANALYSIS using various data sets like shoping data set etc
DATA ANALYSIS using various data sets like shoping data set etcDATA ANALYSIS using various data sets like shoping data set etc
DATA ANALYSIS using various data sets like shoping data set etc
 
Data Analysis Project: Stroke Prediction
Data Analysis Project: Stroke PredictionData Analysis Project: Stroke Prediction
Data Analysis Project: Stroke Prediction
 
Role of Consumer Insights in business transformation
Role of Consumer Insights in business transformationRole of Consumer Insights in business transformation
Role of Consumer Insights in business transformation
 
why-transparency-and-traceability-are-essential-for-sustainable-supply-chains...
why-transparency-and-traceability-are-essential-for-sustainable-supply-chains...why-transparency-and-traceability-are-essential-for-sustainable-supply-chains...
why-transparency-and-traceability-are-essential-for-sustainable-supply-chains...
 
6 Tips for Interpretable Topic Models _ by Nicha Ruchirawat _ Towards Data Sc...
6 Tips for Interpretable Topic Models _ by Nicha Ruchirawat _ Towards Data Sc...6 Tips for Interpretable Topic Models _ by Nicha Ruchirawat _ Towards Data Sc...
6 Tips for Interpretable Topic Models _ by Nicha Ruchirawat _ Towards Data Sc...
 
IBEF report on the Insurance market in India
IBEF report on the Insurance market in IndiaIBEF report on the Insurance market in India
IBEF report on the Insurance market in India
 
Statistics For Management by Richard I. Levin 8ed.pdf
Statistics For Management by Richard I. Levin 8ed.pdfStatistics For Management by Richard I. Levin 8ed.pdf
Statistics For Management by Richard I. Levin 8ed.pdf
 
Presentation of project of business person who are success
Presentation of project of business person who are successPresentation of project of business person who are success
Presentation of project of business person who are success
 
Bank Loan Approval Analysis: A Comprehensive Data Analysis Project
Bank Loan Approval Analysis: A Comprehensive Data Analysis ProjectBank Loan Approval Analysis: A Comprehensive Data Analysis Project
Bank Loan Approval Analysis: A Comprehensive Data Analysis Project
 
Predictive Analysis - Using Insight-informed Data to Plan Inventory in Next 6...
Predictive Analysis - Using Insight-informed Data to Plan Inventory in Next 6...Predictive Analysis - Using Insight-informed Data to Plan Inventory in Next 6...
Predictive Analysis - Using Insight-informed Data to Plan Inventory in Next 6...
 
Data Analysis Project Presentation: Unveiling Your Ideal Customer, Bank Custo...
Data Analysis Project Presentation: Unveiling Your Ideal Customer, Bank Custo...Data Analysis Project Presentation: Unveiling Your Ideal Customer, Bank Custo...
Data Analysis Project Presentation: Unveiling Your Ideal Customer, Bank Custo...
 
2023 Survey Shows Dip in High School E-Cigarette Use
2023 Survey Shows Dip in High School E-Cigarette Use2023 Survey Shows Dip in High School E-Cigarette Use
2023 Survey Shows Dip in High School E-Cigarette Use
 
Digital Indonesia Report 2024 by We Are Social .pdf
Digital Indonesia Report 2024 by We Are Social .pdfDigital Indonesia Report 2024 by We Are Social .pdf
Digital Indonesia Report 2024 by We Are Social .pdf
 

Agile BI with Data Virtualization (session 2 from Packed Lunch Webinar Series)

  • 1. © 2013 Denodo Technologies 6 Sessions Covering Key Data Integration Challenges Solved with Data Virtualization Session 2: Delivering an Agile BI Strategy with Data Virtualization Topics covered: *Making BI agile *Integrating Big Data *Combining SOA and Data Integration *Enhancing and Extending MDM and DW *Creating a single view of your customer
  • 2. © 2013 Denodo Technologies Today’s Speakers ■ Paul Moxon Senior Director, Product Management ■ Tom Forman Senior Solutions Consultant
  • 3. © 2013 Denodo Technologies Agenda ■ BI Challenges and Issues Addressed by Data Virtualization ■ Agile BI with DV: Customer Successes ■ Product Demonstration ■ Summary ■ Q&A and Next Steps
  • 4. © 2013 Denodo Technologies Agenda ■ BI Challenges and Issues Addressed by Data Virtualization ■ Agile BI with DV: Customer Successes ■ Product Demonstration ■ Summary ■ Q&A and Next Steps
  • 5. © 2013 Denodo Technologies Typical BI Architecture Real Time ODS Subset Data Marts Common Staging Area Oracle E-Business Suite JDA Supply Chain Salesforce CRM 3rd Party Federated Packaged JDA Supply Chain Data Marts Reporting and Analytical Applications e-Commerce Real Time Data Mining and Analytics Real Time Segmentation, Classification, Qualification, Offerings, etc. Federated Marketing Data Warehouse Federated Financial Data Warehouse
  • 6. © 2013 Denodo Technologies Existing BI Approaches are not Agile Enough ■ Traditional BI Architecture forces data through several replicated stages ■ Traditional BI Development process based on the Waterfall approach ■ Implementing changes in requirements or data sources is costly and time consuming ■ Constantly rebuilding access points to data instead of reusing them ■ Backlogs and the high cost of change produce ‘Shadow BI’ ■ Traditional approach does not support prototyping to clarify and reduce analysis and shorten delivery times ■ Traditional BI struggles to provide diversity of data sources and meet real-time needs of end users
  • 7. © 2013 Denodo Technologies Denodo Platform Architecture
  • 8. © 2013 Denodo Technologies Traditional BI vs. Agile BI ■ Traditional BI development • Requires coordination between separate teams using different tools - requirements (input, model, output) must be well defined in advance • Sequential development is costly and risky - before results can be visualised, all teams must complete their component • Data integration usually requires replication - introducing stale, ‘day old’ data ■ Agile BI using Data Virtualization • Single design environment enables collaborative data exploration • Iterative - results are visualized quickly and can easily be modified • Integration via widest range of off-the-shelf connectors direct to data sources - ensures data is delivered at the proper freshness
  • 9. © 2013 Denodo Technologies Agile BI Use Cases for Data Virtualization ■ Virtual Data Marts ■ Data Warehouse Extension ■ Operational BI ■ Rapid Prototyping ■ Multiple BI Tools ■ Disposable Reports
  • 10. © 2013 Denodo Technologies Agenda ■ BI Challenges and Issues Addressed by Data Virtualization ■ Agile BI with DV: Customer Successes ■ Product Demonstration ■ Summary ■ Q&A and Next Steps
  • 11. © 2013 Denodo Technologies Data Virtualization – Customers Agile Business Intelligence Unified View Big Data, Cloud Integration Data Services
  • 12. © 2013 Denodo Technologies Biogen Idec ■ Biogen Idec uses cutting edge science to discover, develop, manufacture and market biological products for the treatment of serious diseases with a focus on neurological disorders. ■ Headquarters in Weston, Massachusetts ■ About 6,000 employees ■ More than $5.5 billion in revenue ■ Distributors in over 90 countries worldwide
  • 13. © 2013 Denodo Technologies Biogen Idec – Data Integration Challenges
  • 14. © 2013 Denodo Technologies Biogen Idec – Daily Sales Report ■ Executive report – Global Drug Sales (units) across all products • Data gather from global divisions, distributors, etc. • Combine with internal data (forecasts, budgets) • Variety of formats (Excel, PDF, text files, Web, …) ■ Business Problem: • Manual process – 7 hours to produce report • Data freshness and quality concerns • Fragile and complex to change
  • 15. © 2013 Denodo Technologies Data Services for Agile Reporting and Data Warehouse Extension Biogen Idec – Agile BI & Reporting
  • 16. © 2013 Denodo Technologies Data Services for Agile Reporting and Data Warehouse Extension Biogen Idec - Results Key Benefits to Biogen: ■ New reports delivered 60% faster ■ 100% increase in reporting delivery with 40% less analysis ■ Users achieving self-service reports from reusable data services “Data Virtualization has doubled the number of BI projects we completed on time; as a Data Warehouse extension Denodo reduces cost and enriches BI with new data.” Wilson Hung, Director, Biogen Idec
  • 17. © 2013 Denodo Technologies The Climate Corporation ■ Provide a range of weather insurance products to farmers to protect crops against adverse weather ■ Also provide weather and crop data insights to help farmers better plan and manage their operations ■ Analyze trillions of scientific data points across multiple systems ■ Very heterogeneous sources including NoSQL, Cloud and ■ Adding 30TB of new data per month
  • 18. © 2013 Denodo Technologies The Climate Corporation – Data Environment
  • 19. © 2013 Denodo Technologies The Climate Corporation – Data Architecture
  • 20. © 2013 Denodo Technologies The Climate Corporation - Challenges ■ Source data sets are constantly changing – different models, storage technology, formats ■ Reporting requirements are fairly straightforward – but requirements change frequently ■ Avoid large scale data replication – huge overhead to build, keep in sync, storage costs ■ Move towards RESTful web interfaces – data as a service
  • 21. © 2013 Denodo Technologies The Climate Corporation – Data Virtualization
  • 22. © 2013 Denodo Technologies The Climate Corporation – Results ■ First use-cases for Sales implemented • 3X improvement in time-to-market with 1/3rd the team ■ Other use-cases • Risk reporting automation using Hive/Denodo • Linked data services and BI Portal • Operational Data Integration
  • 23. © 2013 Denodo Technologies Better Quality Information  Integrate disparate data silos  Include Web/Cloud, Big Data, unstructured  Real-time (Right-time) Data Services Lower Cost & Increased Agility  Lower delivery costs by 80%  Flexibility to Change Requirements, add new sources Fast Time to Solution  New reports in days, not weeks  ROI in <6 months  Adds new IT and Business capabilities The Benefits of Agile BI
  • 24. © 2013 Denodo Technologies Agenda ■ BI Challenges and Issues Addressed by Data Virtualization ■ Agile BI with DV: Customer Successes ■ Product Demonstration ■ Summary ■ Q&A and Next Steps
  • 25. © 2013 Denodo Technologies Demo Overview ■ Company: Telecommunications Provider • Delivers bundled service packages tailored to customer needs ■ Scenario • New service package ‘P002’ has had a successful soft rollout • Marketing campaign is needed to inform potential customers • Limited marketing resources means efforts must be tightly focussed ■ Stressed IT – Pain Points: • Data source migrations/changes • Changing data requirements from business • Business demands quick turnaround
  • 26. © 2013 Denodo Technologies Agenda ■ BI Challenges and Issues Addressed by Data Virtualization ■ Agile BI with DV: Customer Successes ■ Product Demonstration ■ Summary ■ Q&A and Next Steps
  • 27. © 2013 Denodo Technologies Agile BI Architecture Source: Rick van der Lans
  • 28. © 2013 Denodo Technologies Agile BI – Data Virtualization Benefits • Increased agility; easier prototyping, development and testing • Faster turnaround as extraneous replication processes are removed • Business-friendly data views reduce complexity and encourage reusability for end users • Data can be enriched with external heterogeneous sources • Advanced security, performance, governance and caching features • More & better data for users, at a much faster speed for much less cost
  • 29. © 2013 Denodo Technologies Agenda ■ BI Challenges and Issues Addressed by Data Virtualization ■ Agile BI with DV: Customer Successes ■ Product Demonstration ■ Summary ■ Q&A and Next Steps
  • 30. © 2013 Denodo Technologies Data Virtualization – Questions?
  • 31. © 2013 Denodo Technologies Data Virtualization - Next Steps Move forward at your own pace  Whitepaper: Data Virtualisation for Agile Data Provisioning, Bloor Research http://www.denodo.com/en/resources/whitepapers/dv_agile_data_provisioning/index.php  Attend Packed Lunch Webinar Sessions – Covering Data Virtualization for…  Making BI Agile  Integrating Big Data  Combining SOA and Data Integration  Enhancing and Extending MDM and DW  Creating a Single View of Your Customer Move forward with one of our Data Virtualization experts  Phone: (+1) 877-556-2531 (NA) | Email: info@denodo.com  Phone: (+44) (0)20 7869 8053 (EMEA)  www.denodo.com
  • 32. © 2013 Denodo Technologies Next Session: Topics covered: *Making BI agile *Integrating Big Data *Combining SOA and Data Integration *Enhancing and Extending MDM and DW *Creating a single view of your customer Thank You! Leveraging Big Data in your Enterprise with Data Virtualization Thursday, May 28th 2014 Register Now