Fast Innovation requires Fast IT - Cisco · Sales Force Automation System (Cloud) Trades and Asset...
Transcript of Fast Innovation requires Fast IT - Cisco · Sales Force Automation System (Cloud) Trades and Asset...
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