When Worlds Collide: Intelligence, Analytics and Operations

Tuesday, May 15, 12

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Twitter Tag: #briefrTuesday, May 15, 12

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Reveal the essential characteristics of enterprise software, good and bad

Provide a forum for detailed analysis of today’s innovative technologies

Give vendors a chance to explain their product to savvy analysts

Allow audience members to pose serious questions... and get answers!

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Tuesday, May 15, 12

May: Analytics

June: Intelligence

July: Governance

August: Analytics

September: Integration

October: Database


Tuesday, May 15, 12


Ultimately analytics is about businesses making optimal decisions, although the range of technologies that inhabit this area is wide: statistical analysis, data mining, process mining, predictive analytics, predictive modeling, business process modeling and additionally complex event processing.

With the advent of big data, analytics has become “big analytics” with organizations diving into large heaps of data that previously was not available or usable.

Part of the challenge is to be able to manage the data flow so that power users and analytics users have the data they need in the right place at the right time.

Tuesday, May 15, 12


Shawn Rogers is Vice President Research for Business Intelligence at Enterprise Management Associates a leading analyst and consulting firm. Shawn is an international speaker and has more than 19 years of hands-on IT experience. Prior to joining EMA he co-founded the BeyeNETWORK, a global online publication covering business intelligence, data warehousing, performance management and data integration. He was also a partner at DMReview magazine (now Information Management) and has held various executive level positions with technology companies.

Tuesday, May 15, 12


Enterprise class data integration platform

Innovative data virtualization solution to the data integration problem

High performance

Agile relatively low cost solution

Rapid development with quick iterations

Tuesday, May 15, 12

Bob Eve has been Composite Software's EVP of Marketing since 2006. While at Composite, Bob helped define the Data Virtualization category and position Composite as the gold standard in that market. Prior to Composite, Bob held executive level marketing and business development roles at leading enterprise software companies such as Informatica, Mercury Interactive, PeopleSoft, and Oracle. Bob holds a MS degree in Management from the Massachusetts Institute of Technology and a BS degree in Business Administration from the University of California at Berkeley.


Tuesday, May 15, 12

When Worlds Collide: Intelligence, Analytics & Operations The Briefing Room with Shawn Rogers and Composite Software

Robert Eve EVP Marketing [email protected]

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Agenda

Why big data analytics, mobility and cloud computing are breaking traditional data integration paradigms How data virtualization increases business and IT agility Proven paths to data virtualization success

© 2012 Composite Software, Inc. / Composite Proprietary

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Business and Technology Drivers – Big Data Analytics, Mobility & Cloud

IBM Global CIO Survey 2011


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Data Warehouses Met Traditional Integration Needs

One place to go Business view of the data Agility Meter

Data Warehouses and Marts


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But Business Required Operational Data As Well

Up-to-the-minute data from transactional sources is also required New integration techniques are needed…ODS, CDC, Data Federation…

Agility Meter


Enterprise Applications

Transactional & Operational Stores


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Organizations Then Adopted New Information Management Technologies To Address New Business Needs

The rise of fit-for-purpose analytic data stores creates more data silos The emergence of cloud-resident applications introduces new integration challenges

Agility Meter




SaaS Applications

Analytic Stores and Sandboxes


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While New IT Paradigms Arose Creating Even More Complex Integration Landscapes

Web services require new data integration protocols and techniques Big Data analytic processing and storage reset tooling and integration paradigms

Agility Meter




SaaS Applications


“Big” Data and NoSQL

Web Services


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And BYOD Became the New Normal

Mobile devices diversify consumers and add network latency challenges

Agility Meter




SaaS Applications



Web Services


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Data Virtualization Hides Complexity to Provide Business Insight with Agility

One “virtual” place to go Business “view” of the data




SaaS Applications



Web Services


Agility Meter

Data Virtualization Platform

Abstract Federate Optimize

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Agenda



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Enterprise-Scale Data Virtualization Platform

Discovery

Active Cluster

Composite Information Server Monitor

Manager

Studio

PerformancePlus Adapters

Development Environment

Runtime Server Environment

Management Environment

XML

Packaged Apps RDBMS Excel Files Data Warehouse OLAP Cubes Hadoop / “Big Data” XML Docs Flat Files Web Services

Composite 6 Data Virtualization Platform

Human Capital Management

Governance, Risk &

Compliance Business

Intelligence Customer

Experience Management

Mergers & Acquisitions

Single View of Enterprise Data

Supply Chain Management

SAP Data Integration


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One “Virtual” Place Go


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Source: Forrester June 15, 2011, “Data Virtualization Reaches Critical Mass” Forrester report

Business “View” of the Data


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Agenda



15 © 2012 Composite Software, Inc. / Composite Proprietary

Composite Data Virtualization

Financial Services

Federal Government Life Sciences High Tech Energy Media /

Comm.

Ten of the Top Twenty Global Money Center Banks

Six of the Top Ten Pharmaceutical Companies

Four of the Top Five Integrated Energy Companies

Major Communications and Technology Vendors

Government Agencies including the World’s Largest IT Organization, the U.S. Army

Use A Proven Data Virtualization Vendor

http://www.goodlogo.com/extended.info/2723

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Seek Out The Data Virtualization Domain Experts


Company Domain Deployment

Comcast Directory Services

Ownership change processing

Compassion International

Enterprise wide Ministry Information Library

Fortune 50 Computer Manufacturer

Procurement Integrated procurement reporting system

Fortune 50 Financial Services Firm

Wholesale Bank Support for mergers and acquisitions, new business opportunities

Global 100 Energy Company

Upstream Operations

Virtual data warehouse to support BI reporting and analytics

Global 100 Financial Services Firm

Investment Bank Division

Data Vault

Northern Trust Corporate and Institutional Services Business Unit

Investment Operations Outsourcing client reporting platform

NYSE Euronext Enterprise wide Virtual data warehouse for post-trade reporting and analysis

Pfizer Worldwide Pharmaceutical Sciences (R&D)

Project portfolio database

Qualcomm Enterprise wide Multiple applications

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Self Fund Your Investment

Massive transaction volumes $4.5 million saved on first project $2.2 million saved on first five projects 24 projects in 2 years Zero downtime customer care apps $ thousands per day in cost savings


http://www.youtube.com/watch?v=0Lm0gJF3eoI&feature=related

http://www.youtube.com/watch?v=bCb0GEy5828&feature=related

http://www.youtube.com/watch?v=3ta8X33lhFc

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For More Information


www.datavirtualizationcafe.com www.compositesw.com

http://www.compositesw.com/dvcafe/

http://www.compositesw.com/


Tuesday, May 15, 12

May 15, 2012© 2012 Enterprise Management Associates, Inc.

When Worlds Collide: Intelligence, Analytics and Operations

Shawn P. RogersEnterprise Management AssociatesVice President Research Business Intelligence / Data [email protected]

Tuesday, May 15, 12



© 2012 Enterprise Management Associates, Inc.

The Drivers of Change

• Maturing User Community• Workloads and Demands – Reporting to Advanced Analytics• Consumer shift, democratization and self service

• New Technology• Introduction of new technologies• More powerful technology

• Economics• Enterprise level commodity hardware• Open Source frameworks• Business Intelligence is recession resistant and proven

• Valuable Data Types• Move from Structured SQL driven analysis - new alternatives• Sophisticated analysis of new data – Sensor, Machine, Social

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Drivers of Change

• The EDW Under Pressure• A critical component of success• Difficulty answering the demands of change

Users, technology, economics and new data• Analytics beyond the data warehouse



Drivers of Change

• The EDW Under Pressure• A critical component of success• Difficulty answering the demands of change

Users, technology, economics and new data• Analytics beyond the data warehouse

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Time to live in the now….not the was.

Tuesday, May 15, 12


Hybrid Data Ecosystem

• Extension of Traditional Data Environments• Workload Management

Matching data and complex workloads to the best possible platforms Flexible, powerful and economically sound.

• Platforms Computing Platforms

Enterprise Data Warehouse Data Marts Operational Systems Analytic Platforms Big Data (Hadoop, Key/Value, Graph data stores) Cloud-based Solutions



Hybrid Data Ecosystem

Delivery Platforms Desktop Internet/Web Mobile Collaborative Solutions

• Data Integration Tier Innovation and agility abound Makes the case for enterprise wide implementations You can’t always move the data – Cloud and Big Data especially

• Data Management Tier Weakness across ecosystem Opportunity for innovation Runs in the face of big stack vendors Beware of silo’s



Hybrid Data Ecosystem - Platforms

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Enterprise Data Warehouse(RDBMS)

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Data Marts

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Operational Data

Data Marts

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Operational Data

Data Marts

Big Data Frameworks

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Operational Data

Data Marts

Big Data Frameworks

Analytic Platforms

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Cloud Data


Operational Data

Data Marts

Big Data Frameworks

Analytic Platforms

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Cloud Data


Operational Data

Data Marts

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Big Data Frameworks

Analytic Platforms

Tuesday, May 15, 12

Tuesday, May 15, 12


Managing Hybrid Data Ecosystems for Performance

• A balanced attack - use all of the tools at your disposal

• Understand the workload complexity and plan accordingly

• Utilize the best data sources combined with best platform

• Only move the data when necessary Accept that some data is better off not moved Economics of moving data – push down queries

• Create value by combining data from where ever necessary



Agility is often discussed with DV. Explain where that comes in and how it makes an organization more agile?

How do you see DV enabling companies that are embracing a Hybrid Data Ecosystem? Why is data integration part of this paradigm shift?

Is DV technology fast enough to keep pace with the sophisticated needs of these maturing analytics users?

How do address highly distributed data especially when it’s geographically remote and has inherent latency?

What’s changed in DV technology since the 90’s when similar technology was labeled virtual DW’s, Federation and EII in the 2000’s and failed to get traction with DW purists?

Should companies could/should attempt to implement DV company wide or are point solutions the best way to go?

Tuesday, May 15, 12


When is DV not a good answer to data integration challenges?

Where does Data Quality fit into DV? Does Composite offer DQ features? Is it required?

Big Data has everyone’s attention is it really a significant opportunity? Is it for Hadoop only?

How does Composite go beyond simple Hadoop connectors to assist companies with Big Data?

How do you work with Analytic Platforms to go beyond simple integration?

What’s next for DV? Are their other connection/integration points working their way into the data ecosystem?

Can DV really support the needs of self-service analytic users or power users?

Tuesday, May 15, 12

Tuesday, May 15, 12


May: Analytics

June: Intelligence

July: Governance

August: Analytics

September: Integration

October: Database

Tuesday, May 15, 12

Tuesday, May 15, 12

When Worlds Collide: Intelligence, Analytics and Operations

Technology

data warehousing

data mining

data flowso

data virtualization

data virtualization

advent of big data

database twitter tag

predictive analytics