Fast Innovation requires Fast IT

Transcription

1 Fast Innovation requires Fast IT

2 Cisco Data Virtualization Puneet Kumar Bhugra Business Solutions Manager

3 1 Challenge In Data, Big Data & Analytics Siloed, Multiple Sources

4 Business Outcomes Business Opportunity: As Data Grows, Leading Businesses Use It To Drive Better Outcomes & Beat Their Competition Business Leaders Business Outcomes Other Busines ses Customer Profitability Faster Time to Market Cost Reduction Risk Management Compliance Overall Agility Data

5 Business Pain: Data Silos Proliferating, Data Is Now Distributed Everywhere How Does the Business Leverage All the Data? Traditional Data Sources Big Data / IOE Sources Cloud Data Sources

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

7 2 Challenge In Data, Big Data & Analytics Ever-increasing Storage Cost

8 Distributed Data Data Infrastructure Applications Location of Data Velocity of Data Streaming Data Big Data Cloud Internet of Things Worldwide Data Volume is Doubling Every 2 Years 2014 Cisco and/or its affiliates. All rights reserved. 8

9 The Data Challenge Next Year Organizations dump data into their Enterprise Data Warehouse and are facing huge expenses for upgrades to capacity, traditionally with Teradata, IBM or Oracle This Year User demands for more data and quicker response times are increasing. Cost Last Year Exponential increases in data volumes and additional data sources are adding to the complexity. Data Rich, Information Poor

10 3 Challenge In Data, Big Data & Analytics Time To Market

11 Time to market Need a new report I ll get the expert on job Executive Sure Project Manager Change ETL process Test Data Build Report Yeah this is good but I need some more data for decision MIS Head Subject Matter Expert

12 The Data Challenge :Traditional ETL Process Operational Stores Data Warehouse Data Repository for Business Reporting Avoids Impacting Live Systems Involves Copying Data from sources DW Design, Batch Process and Scripting ESBs and App Servers Transactional Applications Extract ETL PROCESS Transfor m Load Data Warehouses and Marts Business Intelligence Business Reports Issues SaaS Applications Slow development cycle Replicated data Batch latencies Physical stores overhead Self-service Analytics

13 Analyst s "Data Problem 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

14 Challenges Identified Top 3 Challenge In Data, Big Data & Analytics Data in siloed Ever-increasing cost Slow time to market

15 How do we address these Challenges Cisco Data Virtualization 15

16 Customers Realizing Significant Business Outcomes Financial Services Putnam s marketing campaign needed information from a wide variety of sources in order to be effective. - 5X productivity improvement Pharmaceuticals Energy Wireless Communications 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 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 Qualcomm project managers needed easy access to personnel information related to engineering, technical,and managerial resources. - 10X faster data integration development cycle

17 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.

18 Some Cisco Data Virtualization Use Cases Trades and Asset Sales Force Management SystemAutomation System (Cloud) (Cloud) 360 Degree View of Customer Sales Force Automation System (Legacy) Compliance Reporting Data Virtualization Campaign Management System Fraud Detection Investment Account Master Intra-Day Trading Analysis Better business insights Faster response times Cost savings through streamlined approach Website Clickstream Data Store Management System

19 Logical DW 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 Self-service Analytics Business Intelligence Data Virtualization Platform Abstract Federate Cache ESBs and App Servers Instant 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. No data replication Big Data and NoSQL Analytic Stores Operational Stores Data Warehouses and Marts Transactional Applications SaaS Applications Web Services

20 Addressing The Analyst s Data Problem 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

21 Where Do You Use Data Virtualization - Different Approaches Data Federation DW Extension Data Virtualization Layer Big Data Integration Cloud Data Integration

22 Big Data Offload From Costly Data Warehouses Add Greater Agility and Insight with 4 Step Process As data volume increases exponentially, cost of warehousing rises also Set up Data Virtualization to combine Hadoop data with DW Logical Data Warehouse Interface Layer 3 4 Add operational data for greater insight and agility in analytics and BI 2 1 Determine what Data should be offloaded Offload older data to less expensive HDFS HDF S HDF S HDF S

23 Expand the DW by Offloading Cold Data While Retaining Access to All Data Big Data Warehouse Expansion Data Virtualization Data Warehouse Data Warehou se + UCS UCS UCS Big Data

24 Challenges Solve Siloed, Multiple Sources We Can connect all Immediate Access Time To Market Ever-increasing Storage Cost Agile Response 5-10x Faster Substantial Cost Reduction Up to 75% Cost Savings

25 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

26 Overcome Complex Data Challenges NYSE Euronext Customer Challenge Improve performance of big data access Increase availability and accessibility of data for users Increase integration of reference data Data Virtualization Solution Used the Cisco Data Virtualization Platform as a virtual data store for Trades, Orders, Reports, Quotes, Cancels, Admins (TORQCA) data Impact on Customer Reduced development costs (anticipated savings of over $4.5 million annually) Improved time to solution

27 Shorten Drug Discovery Cycle Customer Challenge Shorten drug discovery cycle Remove data integration bottlenecks for researchers Maintain data quality and security Data Virtualization Solution Created agile data integration methodology using the Cisco Information Server Provided quicker, iterative access to data from multiple, disparate sources Impact on Customer Reduced time new information from months to days Improved data quality by 5% Decreased R&D project dates misses by 60%

28 Drive Effective Marketing Campaigns Customer Challenge Data Virtualization Solution Impact on Customer 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 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

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