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

© 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

Today’s Speakers
■ Paul Moxon
Senior Director, Product Management
■ Tom Forman
Senior Solutions Consultant

Agenda
■ BI Challenges and Issues Addressed by Data
Virtualization
■ Agile BI with DV: Customer Successes
■ Product Demonstration
■ Summary
■ Q&A and Next Steps

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

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

Denodo Platform Architecture

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

Agile BI Use Cases for Data Virtualization
■ Virtual Data Marts
■ Data Warehouse Extension
■ Operational BI
■ Rapid Prototyping
■ Multiple BI Tools
■ Disposable Reports

Data Virtualization – Customers
Agile Business
Intelligence
Unified View
Big Data,
Cloud Integration Data Services

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

Biogen Idec – Data Integration Challenges

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

Data Services for Agile Reporting and Data Warehouse Extension
Biogen Idec – Agile BI & Reporting

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

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

The Climate Corporation – Data Environment

The Climate Corporation – Data Architecture

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

The Climate Corporation – Data Virtualization

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

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

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

Agile BI Architecture
Source: Rick van der Lans

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

Data Virtualization – Questions?

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

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

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

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