Fast Innovation requires Fast IT

Cisco Data Virtualization

Puneet Kumar Bhugra

Business Solutions Manager

Challenge In Data, Big Data & Analytics

• Siloed, Multiple Sources

1

Business Opportunity:As Data Grows, Leading Businesses Use It To Drive Better Outcomes & Beat Their Competition

Other Busines

ses

BusinessLeaders

Busin

ess O

utc

om

es

Data

• Customer

Profitability

• Faster Time to

Market

• Cost Reduction

• Risk Management

• Compliance

• Overall Agility

Business Outcomes

Business Pain:Data Silos Proliferating, Data Is Now Distributed Everywhere

Cloud Data

SourcesBig Data / IOE

Sources

Traditional

Data Sources

How Does the Business Leverage All the Data?

Through 2017, 90% of the information assets from big data analytic efforts will be siloed and unlevereagable across multiple business processes.

Challenge In Data, Big Data & Analytics

• Ever-increasing Storage Cost

2

© 2014 Cisco and/or its affiliates. All rights reserved. 8

Internet of Things

Location of Data

Velocity of Data

Distributed Data

StreamingData

Data

Big Data

Worldwide Data Volume is Doubling Every 2 Years

Cloud

Infrastructure

Applications

Last Year

This Year

Next Year

The Data Challenge

• Organizations “dump” data into their

Enterprise Data Warehouse and are

facing huge expenses for upgrades to

capacity, traditionally with Teradata, IBM

or Oracle

• User demands for more data and quicker

response times are increasing.

• Exponential increases in data volumes

and additional data sources are adding

to the complexity.

• “Data Rich, Information Poor” Cost

Challenge In Data, Big Data & Analytics

• Time To Market

3

Executive

Project Manager

MIS Head

Subject

Matter Expert

Need a new report

Sure

I’ll get the expert on job

Change ETL process

Test Data

Build Report

Yeah this is good but I need some more data for decision

Time to market

SaaS

Applications

Data Warehouses

and Marts

Transactional

Applications

Operational

Stores

Business

Intelligence

ESBs and

App

Servers

ETL PROCESS

ExtractTransfor

mLoad

Self-service

Analytics

The Data Challenge :Traditional ETL Process

Data Warehouse

• Data Repository for Business Reporting

• Avoids Impacting Live Systems

• Involves Copying Data from sources

• DW Design, Batch Process and Scripting

Business

Reports

• Slow development cycle

• Replicated data

• Batch latencies

• Physical stores overhead

Issues

Find the

Data

Access the

Data

Build a

Sandbox for

the Data

Build the

Model

Analyze the

Results

Develop

the Business

Insight

Analysts spend more than half

their time pulling together their

data

Analyst’s "Data Problem””

Challenges Identified

Top 3 Challenge In Data, Big Data & Analytics

Data in siloed

Ever-increasing cost

Slow time to market

How do we address these Challenges –

Cisco Data Virtualization

15

Customers Realizing Significant Business Outcomes

Financial Services

Pharmaceuticals

Wireless Communications

Putnam’s marketing campaign needed information from a wide variety of sources in order to be effective. - 5X productivity improvement

Research scientists and drug portfolio managers needed to access and analyze a complex set of data from multiple, disparate sources. - 10% reduction in operational infrastructure costs

Qualcomm project managers needed easy access to personnel information related to engineering, technical,and managerial resources. - 10X faster data integration development cycle

Energy

The Cisco solution made possible the strategy of ‘virtually’ keeping all data in one place, resulting in a 30-month projects being completed in 18 months, and business productivity increase.” - Anestacio Rios, Project Lead

What is Cisco Data Virtualization?

Cisco Data Virtualization is agile data integration software

that makes it easy to access data, no matter where it

resides. Our integrated data platform lets you query all

types of data across the network as if it is in a single place.

Some Cisco Data Virtualization Use Cases

Intra-Day Trading Analysis

Fraud Detection

360 Degree View of Customer

Compliance Reporting

Sales Force Automation

System (Legacy)

Campaign Management System

Sales Force

Automation System

(Cloud)

Trades and Asset

Management System

(Cloud)

Investment Account Master

Website Clickstream Data Store

Email Management System

Better business insights

Faster response times

Cost savings through streamlined approach

Data Virtualization

SaaS

ApplicationsWeb

Services

Data Warehouses

and MartsTransactional

ApplicationsOperational

Stores

Analytic

Stores

“Big Data”

and NoSQL

Business

Intelligence

ESBs and

App

Servers

Data Virtualization Platform

Abstract Federate Cache

Self-service

Analytics

Logical Data Warehouse

• One logical place to go for data

• More complete business view of data

• Any data source, any location

• Supports different security systems

• BI / Dashboard / Analytics feed

• No data replication

Logical DWInstant

Access

5-10x

Faster

<75% Cost

Savings

Better Business Insights

Empower people with instant

access to all the data they

want, the way they want it.

Faster Response Time

Respond faster to ever

changing analytics and BI

needs.

Cost Savings

Data virtualization’s

streamlined approach reduces

complexity and saves money.

• Identify local, enterprise and external data sources

• Flexibly group, sort and search sources

• Connect various source data types and data shapes

• Explore live data

• Create a unified data model

• Filter, transform and aggregate data sets

• Selectively materialize into sandbox host

Addressing The Analyst’s Data Problem

Where Do You Use Data Virtualization -Different Approaches

DataFederation

DW Extension Data

VirtualizationLayer

Big DataIntegration

Cloud DataIntegration

Add operational data for

greater insight and agility

in analytics and BI

HDF

S

HDF

S

HDF

S

As data volume

increases

exponentially, cost

of warehousing

rises also

Big Data Offload From Costly Data WarehousesAdd Greater Agility and Insight with 4 Step Process

Offload older data to

less expensive HDFS

4

Logical Data Warehouse Interface Layer

Set up Data Virtualization to

combine Hadoop data with DW

1

2

3

Determine what

Data should be

offloaded

Expand the DW by Offloading Cold DataWhile Retaining Access to All Data

Data Warehouse

Big Data Warehouse

Expansion

Big Data

+

Data Warehou

se

UCS UCSUCS

Data Virtualization

Challenges Solve

Siloed, Multiple Sources

Ever-increasing Storage Cost

Time To Market

✔

✔

✔

We Can connect all

Agile Response

Substantial Cost Reduction

5-10x

Faster

Up to 75%

Cost Savings

Immediate

Access

Summary : Cisco Data Virtualization

Gain more business insights by leveraging all your data – Empower your people with instant access to all the data they want, the way they want it.

Respond faster to your ever changing analytics and business intelligence needs –Five to ten times faster time to solution than traditional data integration.

Save 50-75% over data replication and consolidation – Stop copying so much data. Data virtualization’s streamlined approach reduces complexity and saves money.

Increase utilization of existing server and storage investments – resulting in substantial hardware and governance savings

Reduce Risk – Use a proven software, network and computing infrastructure to adopt big data and logical data warehousing

• Used the Cisco Data Virtualization Platform as a virtual data store for Trades, Orders, Reports, Quotes, Cancels, Admins (TORQCA) data

• Reduced development costs (anticipated savings of over $4.5 million annually)

• Improved time to solution

• Improve performance of “big” data access

• Increase availability and accessibility of data for users

• Increase integration of reference data

Data Virtualization

SolutionImpact on CustomerCustomer Challenge

Overcome Complex Data ChallengesNYSE Euronext

• Created agile data integration methodology using the Cisco Information Server

• Provided quicker, iterative access to data from multiple, disparate sources

• Reduced time new information from months to days

• Improved data quality by 5%

• Decreased R&D project dates misses by 60%

• Shorten drug discovery cycle

• Remove data integration bottlenecks for researchers

• Maintain data quality and security

Shorten Drug Discovery Cycle

Data Virtualization

SolutionImpact on CustomerCustomer Challenge

• Built a flexible data model / abstraction layer across all source systems

• Enhanced agility through a flexible data delivery infrastructure

• $9M in revenue acceleration

• IT staff savings of $415,000 on first project

• Infrastructure cost avoidance of $304,000 on first project

• Find customer trends to drive marketing effective campaigns

• Analyze integrated collection of data for PlayStation 3

• Combine different data sources and make it look like unified source; limit replication

Data Virtualization Solution Impact on CustomerCustomer Challenge

Drive Effective Marketing Campaigns