Post on 09-Jan-2017
Where Does Fast Data Strategy Fit Within IT Projects
Ravi Shankar, Chief Marketing Officer
Agenda1.The Need for Fast Data Strategy
2.Data Virtualization Use Cases
The Need for Fast Data Strategy
4
-Ravi Shankar, CMO, Denodo
Fast Data Strategy is a disciplined approach to the use of agile, real-
time, self-service data technologies such as data virtualization to
deliver data quickly to business users to effect faster outcomes.”
What is Fast Data Strategy?
5
The Business NeedFast Data Access to Critical Information to Support Business Processes
MarketingSales ExecutiveSupport
Customers
Warranties
Channels
Products
Access to complete information
Access to related information
Access in real-time
Cross-sell / Up-sell
“Business stakeholders at the executive and line-of-business levels need data faster to keep up with customers, competitors, and partners.”
– Create a Road Map For A Real-time, Agile, Self-Service Data Platform, Forrester Research, Dec 16, 2015
6
Manually access different systems
IT responds with point-to-point data integration
Takes too long to get answers to business users
The ChallengeData Is Siloed Across Disparate Systems
MarketingSales ExecutiveSupport
Database
Apps
Warehouse Cloud
Big Data
Documents AppsNo SQL“Data bottlenecks create business bottlenecks.”– Create a Road Map For A Real-time, Agile, Self-Service Data Platform, Forrester Research, Dec 16, 2015
7
The SolutionData Abstraction Layer
Abstracts access to disparate data sources
Acts as a single repository (virtual)
Makes data available in real-time to consumers
DATA ABSTRACTION LAYER
“Enterprise architects must revise their data architecture to meet the demand for fast data.”
– Create a Road Map For A Real-time, Agile, Self-Service Data Platform, Forrester Research, Dec 16, 2015
8
Data VirtualizationReal-time Data Integration
“Data virtualization integrates disparate data sources in real time or near-real time to meet demands for analytics and transactional data.”
– Create a Road Map For A Real-time, Agile, Self-Service Data Platform, Forrester Research, Dec 16, 2015
Publishes the data to applications
Combinesrelated data into views
Connectsto disparate data sources
2
3
1
9
Benefits of Data Virtualization“Get it Real-time and Get it Fast!”
Better Data Integration
Lower integration costs by 80%.
Flexibility to change.
Real-time (on-demand) data services.
Complete Information
Focus on business information needs.
Include web / cloud, big data, unstructured, streaming.
Bigger volumes, richer/easier access to data.
Better Business Outcome
Projects in 4-6 weeks.
ROI in <6 months.
Adds new IT and business capabilities
“Benefits of Data Virtualization: get it real-time and get it fast!”– William McKnight, President, McKnight Consulting Group
Fast Data StrategyUse Cases
11
Common Data Virtualization Use CasesFour Common Use Cases
BIG DATA, CLOUD INTEGRATION
Advanced Analytics
Data Warehouse Offloading
Big Data for Enterprise
Cloud / SaaS Integration
AGILE BUSINESS INTELLIGENCE
Logical Data Warehouse
Virtual Data Marts
Self-Service BI
Operational BI / Analytics
SINGLE VIEW APPLICATIONS
Single Customer View - Call Centers, Portals
Single Product View - Catalogs
Single Inventory View - Inventory Reconciliation
Vertical Specific - Single View of Wells
DATA SERVICES
Unified Data Services Layer
Logical Data Abstraction
Agile Application Development
Linked Data Services
12
Common Data Virtualization Use CasesFour Common Use Cases
BIG DATA, CLOUD INTEGRATION
Advanced Analytics
Data Warehouse Offloading
Big Data for Enterprise
Cloud / SaaS Integration
AGILE BUSINESS INTELLIGENCE
Logical Data Warehouse
Virtual Data Marts
Self-Service BI
Operational BI / Analytics
SINGLE VIEW APPLICATIONS
Single Customer View - Call Centers, Portals
Single Product View - Catalogs
Single Inventory View - Inventory Reconciliation
Vertical Specific - Single View of Wells
DATA SERVICES
Unified Data Services Layer
Logical Data Abstraction
Agile Application Development
Linked Data Services
13
Unify enterprise data warehouse with other sources
Achieve comparable performance as physical DW
Lower data warehousing costs by as much as 80%
Agile Business IntelligenceLogical Data Warehouse
14
AutodeskLogical Data Warehouse
14
Benefits
Successfully transitioned to subscription-based licensing
Uniform data environment for access
Single point security enforcement
15
Common Data Virtualization Use CasesFour Common Use Cases
BIG DATA, CLOUD INTEGRATION
Advanced Analytics
Data Warehouse Offloading
Big Data for Enterprise
Cloud / SaaS Integration
AGILE BUSINESS INTELLIGENCE
Logical Data Warehouse
Virtual Data Marts
Self-Service BI
Operational BI / Analytics
SINGLE VIEW APPLICATIONS
Single Customer View - Call Centers, Portals
Single Product View - Catalogs
Single Inventory View - Inventory Reconciliation
Vertical Specific - Single View of Wells
DATA SERVICES
Unified Data Services Layer
Logical Data Abstraction
Agile Application Development
Linked Data Services
16
Combine streaming data with enterprise data
Valuable insight for making informed business decisions
Ideal use case for fast data strategy
Big Data, Cloud IntegrationInternet of Things (IoT)
Benefits
Large Heavy Equipment ManufacturerPredictive Analytics – IoT Integration
17
Improved asset performance and proactive maintenance
Increased revenue from sale of services and parts
Reduced warranty costs of parts failure
18
Make two data sets appear as single data set
Data consumers decoupledfrom actual location of data
Lower costs while improving information access
Big Data, Cloud IntegrationData Warehouse Offloading
19
Common Data Virtualization Use CasesFour Common Use Cases
BIG DATA, CLOUD INTEGRATION
Advanced Analytics
Data Warehouse Offloading
Big Data for Enterprise
Cloud / SaaS Integration
AGILE BUSINESS INTELLIGENCE
Logical Data Warehouse
Virtual Data Marts
Self-Service BI
Operational BI / Analytics
SINGLE VIEW APPLICATIONS
Single Customer View - Call Centers, Portals
Single Product View - Catalogs
Single Inventory View - Inventory Reconciliation
Vertical Specific - Single View of Wells
DATA SERVICES
Unified Data Services Layer
Logical Data Abstraction
Agile Application Development
Linked Data Services
20
Single layer for all data services
Publish data services as RESTful APIs
Accelerate development of SOA applications
Data ServicesUnified Data Services Layer
DATA SERVICES LAYER
Benefits
DrillinginfoData Services
21
Achieved rapid time-to-market for their products
Reduced effort from 1 – 2 weeks to less than 1 day
Just 1 developer managing entire data virtualization
22
Common Data Virtualization Use CasesFour Common Use Cases
BIG DATA, CLOUD INTEGRATION
Advanced Analytics
Data Warehouse Offloading
Big Data for Enterprise
Cloud / SaaS Integration
AGILE BUSINESS INTELLIGENCE
Logical Data Warehouse
Virtual Data Marts
Self-Service BI
Operational BI / Analytics
SINGLE VIEW APPLICATIONS
Single Customer View - Call Centers, Portals
Single Product View - Catalogs
Single Inventory View - Inventory Reconciliation
Vertical Specific - Single View of Wells
DATA SERVICES
Unified Data Services Layer
Logical Data Abstraction
Agile Application Development
Linked Data Services
23
Data Virtualization
Single View of Any Data –Customers, Products, …
Self-service - search, discover, explore data
Linked Data Services to navigate different entities
Single View ApplicationsSingle Customer View
MarketingSales ExecutiveSupport
24
Customers
Warranties
Channels
Products
JazztelSingle Customer View
25
Reduced client call times by 10%
Doubled customer retention rate
Reduced back office workloads by more than 50%
Benefits
Thanks!
www.denodo.com info@denodo.com
© Copyright Denodo Technologies. All rights reservedUnless otherwise specified, no part of this PDF file may be reproduced or utilized in any for or by any means, electronic or mechanical, including photocopying and microfilm, without prior the written authorization from Denodo Technologies.