Where does Fast Data Strategy Fit within IT Projects

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 Need
Fast 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 Challenge
Data Is Siloed Across Disparate Systems
Database
Apps
Warehouse Cloud
Big Data
Documents AppsNo SQL
“Data bottlenecks create business bottlenecks.”

7
The Solution
Data 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.”

8
Data Virtualization
Real-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
Combines
related data into views
Connects
to 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

11
Common Data Virtualization Use Cases
Four 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

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 Self-Service BI
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 Intelligence
Logical Data Warehouse

14
Autodesk
Logical Data Warehouse
14
Benefits
Successfully transitioned to
subscription-based licensing
Uniform data environment for
access
Single point security
enforcement

15
 Self-Service BI
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 Integration
Internet of Things (IoT)

Benefits
Large Heavy Equipment Manufacturer
Predictive 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 decoupled
from actual location of data
Lower costs while improving
information access
Big Data, Cloud Integration
Data Warehouse Offloading

19
 Self-Service BI
DATA SERVICES

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Single layer for all data
services
Publish data services as
RESTful APIs
Accelerate development of
SOA applications
Data Services
Unified Data Services Layer
DATA SERVICES LAYER

Benefits
Drillinginfo
Data 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
 Self-Service BI
DATA SERVICES

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Data Virtualization
Single View of Any Data –
Customers, Products, …
Self-service - search,
discover, explore data
Linked Data Services to
navigate different entities
Single View Applications
Single Customer View

24
Customers
Warranties
Channels
Products

Jazztel
Single 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
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