Location: Events Center - Mandalay Bay Events Center Agenda Status: Default

Similar documents
IBM Big Data in Government

Master Your Data and Your Business Using Informatica MDM. Ravi Shankar Sr. Director, MDM Product Marketing

Logical Modeling for an Enterprise MDM Initiative

IBM Data Warehousing and Analytics Portfolio Summary

Informatica Master Data Management

Enable Business Agility and Speed Empower your business with proven multidomain master data management (MDM)

IBM AND NEXT GENERATION ARCHITECTURE FOR BIG DATA & ANALYTICS!

Integrating Netezza into your existing IT landscape

Harness the value of information throughout the enterprise. IBM InfoSphere Master Data Management Server. Overview

Continuing the MDM journey

IBM Software A Journey to Adaptive MDM

Support 2.0: An Optimized Product Support System Exploiting Master Data, Data Warehousing and Web 2.0 Technologies

Beyond the Single View with IBM InfoSphere

The Future of Business Analytics is Now! 2013 IBM Corporation

Integrating MDM and Business Intelligence

Advanced In-Database Analytics

III JORNADAS DE DATA MINING

Building Confidence in Big Data Innovations in Information Integration & Governance for Big Data

Delivering information you can trust. IBM InfoSphere Master Data Management Server 9.0. Producing better business outcomes with trusted data

Master Data Management What is it? Why do I Care? What are the Solutions?

Exploiting Data at Rest and Data in Motion with a Big Data Platform

IBM Solution Framework for Lifecycle Management of Research Data IBM Corporation

Master Your Data. Master Your Business. Empower your business with access to consolidated and reliable business-critical data

Master Data Management

Scalable Enterprise Data Integration Your business agility depends on how fast you can access your complex data

How To Develop A Data Warehouse

Focus on the business, not the business of data warehousing!

MDM and Data Warehousing Complement Each Other

Data Management Emerging Trends. Sourabh Mukherjee Data Management Practice Head, India Accenture

The Informatica Solution for Improper Payments

Industry Models and Information Server

Compunnel. Business Intelligence, Master Data Management & Compliance (Healthcare) Largest Health Insurance Company in New Jersey.

IBM Analytics. Just the facts: Four critical concepts for planning the logical data warehouse

INFORMATION MANAGEMENT. Transform Your Information into a Strategic Asset

Klarna Tech Talk: Mind the Data! Jeff Pollock InfoSphere Information Integration & Governance

Alexander Nikov. 5. Database Systems and Managing Data Resources. Learning Objectives. RR Donnelley Tries to Master Its Data

Course MIS. Foundations of Business Intelligence

Accenture and SAP: Delivering Visual Data Discovery Solutions for Agility and Trust at Scale

Big Data, Integration and Governance: Ask the Experts

Data Integration Alternatives & Best Practices

Effective Data Integration - where to begin. Bryte Systems

The Data Reservoir as an enabler of differentiating Analytics initiatives

Maximizing Return and Minimizing Cost with the Decision Management Systems

IBM Software Universal Health Identifiers: Issues and Requirements for Successful Patient Information Exchange

CONNECTING DATA WITH BUSINESS

Performance Engineering and Optimizations. Database Services and Data Quality Solutions

Foundations of Business Intelligence: Databases and Information Management

IBM System x reference architecture solutions for big data

Knowledgent White Paper Series. Developing an MDM Strategy WHITE PAPER. Key Components for Success

Harnessing the power of advanced analytics with IBM Netezza

Business Intelligence In SAP Environments

A Comprehensive Approach to Master Data Management Testing

Demystifying Big Data Government Agencies & The Big Data Phenomenon

Business Analytics In a Big Data World Ted Malone Solutions Architect Data Platform and Cloud Microsoft Federal

InfoSphere MDM What s new in Standard Edition/Advanced Edition

Cisco Cloud Enablement Services for Adopting Clouds

Key Issues for Data Management and Integration, 2006

Whitepaper Data Governance Roadmap for IT Executives Valeh Nazemoff

ENTERPRISE EDITION ORACLE DATA SHEET KEY FEATURES AND BENEFITS ORACLE DATA INTEGRATOR

JOURNAL OF OBJECT TECHNOLOGY

Raul F. Chong Senior program manager Big data, DB2, and Cloud IM Cloud Computing Center of Competence - IBM Toronto Lab, Canada

Big Data and Your Data Warehouse Philip Russom

SAP Predictive Analysis: Strategy, Value Proposition

END-TO-END BANKING SOLUTIONS

Premier. Helping healthcare providers deliver the best possible care to their patients. Smart is...

Choosing the Right Master Data Management Solution for Your Organization

Agile Master Data Management TM : Data Governance in Action. A whitepaper by First San Francisco Partners

Architecture of Enterprise Mobile Apps

WHITE PAPER. Talend Infosense Solution Brief Master Data Management for Health Care Reference Data

Michael Briles Senior Solution Manager Enterprise Information Management SAP Labs LLC

BPM for Structural Integrity Management in Oil and Gas Industry

Foundations of Business Intelligence: Databases and Information Management

Course Outline: Course: Implementing a Data Warehouse with Microsoft SQL Server 2012 Learning Method: Instructor-led Classroom Learning

Foundations of Business Intelligence: Databases and Information Management

Cisco Data Center Optimization Services

Chapter 6 FOUNDATIONS OF BUSINESS INTELLIGENCE: DATABASES AND INFORMATION MANAGEMENT Learning Objectives

Big Data overview. Livio Ventura. SICS Software week, Sept Cloud and Big Data Day

What to Look for When Selecting a Master Data Management Solution

Delivering Business Intelligence with Open Source Software

THOMAS RAVN PRACTICE DIRECTOR An Effective Approach to Master Data Management. March 4 th 2010, Reykjavik

James Serra Data Warehouse/BI/MDM Architect JamesSerra.com

Master Data Management

SAS and Teradata Partnership

MDM for the Enterprise: Complementing and extending your Active Data Warehousing strategy. Satish Krishnaswamy VP MDM Solutions - Teradata

How master data management serves the business

IBM InfoSphere Discovery: The Power of Smarter Data Discovery

Adopting the DMBOK. Mike Beauchamp Member of the TELUS team Enterprise Data World 16 March 2010

Real World MDM Challenges and Benefits

Transcription:

Conference Home IBM Information On Demand 2011 SmartSite Mon, October 24 8:15 AM 3790A Opening General Session: Turn Insight Into Action Location: Events Center - Mandalay Bay Events Center Agenda Status: Default 10:15 AM 3171A IBM Netezza: The future of appliances for warehousing and analytics Location: Mandalay Bay J IM Station 7 - Mandalay Bay South Convention Center Agenda Status: StandBy 2:15 PM 2474A IBM Initiate Master Data Service Deep Dive 3:45 PM 2270A IBM InfoSphere Master Data Management Server Technical Deep Dive Tue, October 25 11:15 AM 3753A Ask the Experts: Accurate Matching in Master Data Management Location: Reef B - Mandalay Bay South Convention Center 3:00 PM 2044A Is Your Data Ready for Healthcare Reform and Accountable Care? Location: Banyan A - Mandalay Bay South Convention Center Wed, October 26

10:00 AM 1792A IBM InfoSphere MDM Helps BCBSNC Get Control of Reference Data Location: Tradewinds D - Mandalay Bay North Convention Center 11:30 AM 1064A IBM Master Data Management with Warehouse and Analytics Location: Reef C - Mandalay Bay South Convention Center 11:30 AM 2283A Cardinal Health's Multi-domain Master Data Management Journey Location: Tradewinds D - Mandalay Bay North Convention Center 2:00 PM 1198A Probabilistic Matching With IBM InfoSphere Master Data Management Server Location: Shorelines B Lab Room 10 - Mandalay Bay South Convention Center Agenda Status: StandBy Thu, October 27 8:15 AM 3749A Emerging Technologies and Trends in Master Data Management Location: South Pacific G - Mandalay Bay North Convention Center 10:00 AM 2008A Establishing a Single View with Master Data Management 11:30 AM 1885A Using Probabilistic Matching in InfoSphere Master Data Management 2:00 PM 1536B The Architectural Evolution of Master Data Management Location: South Pacific G - Mandalay Bay North Convention Center

3790A Opening General Session: Turn Insight Into Action Date: Mon, Oct 24, 2011 Location: Events Center - Mandalay Bay Events Center Start Time: 8:15 AM End Time: 9:45 AM Agenda status: Default Speakers: Arvind Krishna, IBM Activity Type: Keynote and Strategy Session Code: CGS Program: Conference General Sessions Track: General Sessions and Keynotes Industry leaders are turning insight into action through new kinds of information and new approaches to business analytics and optimization. Find out how these leaders are outperforming their competition, tapping into insights revealed through a flexible information management foundation and business analytics. Get an early look at innovations coming from IBM to help you capture todays new opportunities and tomorrows vast potential. 3171A IBM Netezza: The future of appliances for warehousing and analytics Date: Mon, Oct 24, 2011 Location: Mandalay Bay J IM Station 7 - Mandalay Bay South Convention Center Start Time: 10:15 AM End Time: 11:15 AM Agenda status: StandBy Speakers: Rick Handt, IBM Activity Type: Usability Sandbox Session Code: IDW Track: Data Warehousing and Analytics Topic: Analytic Applications Business Analytics & Optimization Dynamic Warehousing Session Type: Workshop Attend this session to plan for the future. In this session learn how appliances from IBM Netezza can support analytics initiatives today and tomorrow.

2474A IBM Initiate Master Data Service Deep Dive Date: Mon, Oct 24, 2011 Start Time: 2:15 PM End Time: 3:15 PM Speakers: Alexander T. Bentley, IBM; Scott Schumacher, IBM Topic: Application Development Data Quality & Governance Master Data Management Session Type: Technical Deep Dive In this session, hear in-depth discussion about new product capabilities of the IBM Initiate Master Data Service. This session will include updates on new user interface components, core engine enhancements and tools to lower the total cost of implementing and managing the solution. 2270A IBM InfoSphere Master Data Management Server Technical Deep Dive Date: Mon, Oct 24, 2011 Start Time: 3:45 PM End Time: 5:00 PM Speakers: Lena Woolf, IBM; Mike Cobbett, IBM Topic: Master Data Management Level: Introductory Session Type: Technical Deep Dive This session will provide a high level overview of the capabilities and architecture of the MDM Server product. It then highlights major new features of the MDM Server 9.5 release for the three major components of the product: Server, Workbench and Data Stewardship UI.

3753A Ask the Experts: Accurate Matching in Master Data Management Date: Tue, Oct 25, 2011 Location: Reef B - Mandalay Bay South Convention Center Start Time: 11:15 AM End Time: 12:15 PM Speakers: John W. Wills, IBM Activity Type: Ask the Experts Topic: Master Data Management Session Type: Best Practices/Deployment Is there a strong case for using both a deterministic and probabilistic approach to matching within a master data management system? Where and how does matching structured data apply to the world of unstructured data? In this session, well discuss these issues and more.

2044A Is Your Data Ready for Healthcare Reform and Accountable Care? Date: Tue, Oct 25, 2011 Location: Banyan A - Mandalay Bay South Convention Center Start Time: 3:00 PM End Time: 4:00 PM Speakers: Paul Oates, Cigna; Lorraine Fernandes, IBM Session Code: LHC Program: Business Leadership Track: Healthcare and Life Sciences Topic: Master Data Management Industry: Healthcare Session Type: Best Practices/Deployment 2011 has created a cyclone of activity for health plans and providers. With health plans at the epicenter of the Accountable Care, an entity-centric rather than employer-centric approach to mastering data is needed to prepare organizations for changes ahead. In this session, Paul Oates will offer his perspective on the anticipated changes and how mastering data about customers (members) and providers can be helpful in addressing governmental regulations and policies that will require tying patient outcomes to providers accurately. CIGNA Healthcare is taking a strategic approach that utilizes IBM Initiate Master Data Management to achieve member and provider identification in order to get ahead of potential requirements of Accountable Care.

1792A IBM InfoSphere MDM Helps BCBSNC Get Control of Reference Data Date: Wed, Oct 26, 2011 Location: Tradewinds D - Mandalay Bay North Convention Center Start Time: 10:00 AM End Time: 11:00 AM Speakers: Leah Dawson, Blue Cross Blue Shield of North Carolina; Pete Storer, BCBSNC Topic: Information Integration Master Data Management Industry: Insurance - Health Session Type: Best Practices/Deployment Reference codes (such as ICD codes use in healthcare) are stored, managed and used extensively throughout applications within many organizations by both technical and business users. Generally this approach leads to significant redundancy, accuracy and usability issues related to consistently managing these codes. Blue Cross and Blue Shield of North Carolina (BCBSNC) has begun an initiative using InfoSpheres MDM Server to physically store and manage this critical data in a central location. In this session, we will discuss how reference data management helps to establish the capability to manage reference codes that can be accessed and integrated using proven methods, thereby ensuring ease of use and high integrity.

1064A IBM Master Data Management with Warehouse and Analytics Date: Wed, Oct 26, 2011 Location: Reef C - Mandalay Bay South Convention Center Start Time: 11:30 AM End Time: 12:30 PM Speakers: Eberhard Hechler, IBM; Andy Ousterhout, IBM; SATYAVARAPRASAD S. MADUGUNDU, IBM Activity Type: Ask the Experts Topic: Dynamic Warehousing Information Integration Master Data Management Industry: Information Technology and Services Level: Advanced Session Type: Technical Deep Dive In this ask-the-expert session, you can talk with IBM experts about how to align IBM Master Data Management and Data Warehouse systems from a data model and synchronization perspective. You can discuss data model mapping and transformation logic between Master Data Management and all available InfoSphere Warehouse Packs and how you can map InfoSphere Foundation Tools and InfoSphere Master Data Management Server to the atomic tables and data mart structures of the InfoSphere Warehouse Packs. You will also learn about how you can customize the mapping and transformation.

2283A Cardinal Health's Multi-domain Master Data Management Journey Date: Wed, Oct 26, 2011 Location: Tradewinds D - Mandalay Bay North Convention Center Start Time: 11:30 AM End Time: 12:30 PM Speakers: Prasad Vempati, CardinalHealth; Martin Oberhofer, IBM Topic: Master Data Management Industry: Healthcare Session Type: Best Practices/Deployment Join this session to understand the best practices and lessons learned by Cardinal Health in their multi-domain MDM deployment. This session explains the incremental approach for an implementation that spans customer, product, supplier and employee supporting cross-domain use cases like sales territory management based on customer-employee relationships. The session covers hybrid architectural style (consolidation and transactional) and innovative aspects like integrating with a SaaS provider for employee domain, SAP integration for customers, and product domains to provide customer centricity capabilities. This session shows best-practice architectures and lessons learned from an enterprise level multi-domain MDM solution.

1198A Probabilistic Matching With IBM InfoSphere Master Data Management Server Date: Wed, Oct 26, 2011 Location: Shorelines B Lab Room 10 - Mandalay Bay South Convention Center Start Time: 2:00 PM End Time: 5:00 PM Agenda status: StandBy Speakers: Jie Zhang, IBM; Tyson Carter, IBM Activity Type: Lab Topic: Master Data Management Session Type: Workshop In this hands-on lab, you will explore how IBM InfoSphere Master Data Management Server can help you build lasting customer relationships. Experience firsthand how InfoSphere Master Data Management Server works with IBM Initiate probabilistic matching to evaluate customer data for multiple levels of compatibility. Session highlights include an overview of probabilistic matching, exploration of the standard matching algorithm and how to enhance it, deriving data for matching and designing your probabilistic matching engine.

3749A Emerging Technologies and Trends in Master Data Management Date: Thu, Oct 27, 2011 Location: South Pacific G - Mandalay Bay North Convention Center Start Time: 8:15 AM End Time: 9:30 AM Speakers: Mandy Chessell, IBM; Scott Schumacher, IBM; Dan Wolfson, IBM Topic: Master Data Management Session Type: Best Practices/Deployment In this session, we will look at key industry trends, and discuss ways in which InfoSphere development and IBM Research are harnessing new technology to improve data quality, governance with business process management, integration with social media, use of analytics to gain new insights, and more flexible deployment models to accommodate our increasingly complex world.

2008A Establishing a Single View with Master Data Management Date: Thu, Oct 27, 2011 Start Time: 10:00 AM End Time: 11:00 AM Speakers: Jacqueline L. Ryan, IBM; Bhavani Eshwar, IBM Topic: Business Analytics & Optimization Master Data Management Patterns and Modeling Level: Not Applicable Session Type: Technical Overview Identity lineage of subjects is a key requirement for risk and intelligence programs. This is a capability in which subject sources are matched and linked to first perform identity resolution with matching algorithms and then specialized algorithms for known and suspected fraud. Further, the risk and intelligence solutions can provide hidden relationship discovery and event correlation of subjects. In this session, we will discuss how IBM's Initiate Master Data Service and InfoSphere Identity Insight provide these combined capabilities to establish the pedigree of a subject with accurate attribution, and sequence neutral evaluations of the subject records.

1885A Using Probabilistic Matching in InfoSphere Master Data Management Date: Thu, Oct 27, 2011 Start Time: 11:30 AM End Time: 12:30 PM Speakers: Eric Trenk, IBM Topic: Master Data Management Session Type: Technical Deep Dive The IBM Initiate Master Data Service (MDS) has been widely recognized for its industry-leading probabilistic matching capabilities. The MDS matching technology can be applied to MDM Server implementations to provide fast, effective matching of records for Suspect Duplicate Processing. In this session, topics will include an architectural overview as well as detailed discussion of implementation steps.

1536B The Architectural Evolution of Master Data Management Date: Thu, Oct 27, 2011 Location: South Pacific G - Mandalay Bay North Convention Center Start Time: 2:00 PM End Time: 3:00 PM Speakers: Mandy Chessell, IBM Topic: Information Integration Master Data Management Patterns and Modeling Level: Advanced Session Type: Technical Deep Dive MDM is a journey. It is developed in increments, delivering business value at each stage. How is this achieved? By focus on where the business most needs trusted data. What is required? A set of flexible and open master data management (MDM) capabilities that can grow and evolve with the expanding role of the MDM mission. In this session, we will use architectural patterns to explain how MDM capabilities are used and combined in different stages of the MDM journey to continuously broaden the business value it offers.