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Meeting Details February 9, 2011
Title: Management of Taxonomies
for Search, CMS, and Semantic Processing Abstract: Despite the widespread use of full-text search,
taxonomies and metadata are still needed to provide the best user
experience. But how are the taxonomies selected and managed? What roles do
they fill now, and what additional roles will they fill in the medium-term
future? This talk looks at the basics of metadata and
taxonomies, their roles in content management and in search, and the
increasing role that vocabulary resources like authority files,
taxonomies, and ontologies are playing as publishers seek at add
additional value to their content. Presenter: Ron Daniel - Disruptive Technology Director, Elsevier LabsRon Daniel is a Disruptive Technology Director at
Elsevier Labs. Elsevier, a leading publisher of scientific, technical, and
medical content, has begun to emphasize the production and utilization of
"Smart Content". Dr. Daniel is one of the staff in Elsevier's Smart
Content Center of Excellence which I s helping to promulgate that
technology across the company. Dr. Daniel has been working in the area of Web
metadata for more than 15 years. He is a co-editor of the original Dublin
Core metadata report, was a member of the RDF and XML standardization
efforts, and co-edited the PRISM metadata specification for magazine
publishers. Before joining Elsevier, Ron worked as a consultant
for 8 years with Taxonomy Strategies. Before that he was a Standards
Architect at Interwoven, a Sr. Information Scientist at Metacode
technologies, and a Technical Staff Member at Los Alamos. Ron earned a
Ph.D. in Electrical Engineering from Oklahoma State University, and did
post-doctoral research at Cambridge University and Los Alamos' Advanced
Computing Lab.
March 9, 2011 Title: 2011: The Year of Data Virtualization Abstract: Data Virtualization can deliver agility in data management at a significantly lower cost. Data Virtualization adoption has reached a tipping point in 2010-11. This session explores the What, How, and Why of Data Virtualization from several perspectives: Data Virtualization definition and concepts, the technology and its maturation, use cases driving demand (BI, Customer 360, Cloud & Web, Big Data, “virtual” data services, etc.), customer success and best practices. It provides both a short-term and long-term roadmap of how to use Data Virtualization for stand-alone projects and add new capabilities to your information architecture.
Presenter:
Suresh Chandrasekaran, Senior Vice
President, Denodo Technologies, Inc. Suresh Chandrasekaran is Senior VP at Denodo Technologies, a leader in Data Virtualization. He speaks frequently at conferences on technology and its business impact, drawing from 15+ years experience in leading integration middleware, portal, search and Web companies. Previously, Suresh was a management consultant at Booz & Co. He has an MBA from the University of Michigan and undergraduate degrees from India.
April 13, 2011
Title: Self-Service in the world of
Data Integration Abstract: IT takes too long to deliver data integration projects. Collaboration between the business and IT is not only inefficient but also error-prone in many cases. Business analysts are too dependent on IT to access and understand the data. This presentation will focus on the emerging market trend where in business analysts want to feel empowered to implement business logic end-to-end in a totally self-service way without developer help. They want to be able to provide a great jump-start for business logic that developers can then refine for end-to-end implementation. It will explore the challenges faced and the opportunity to improve productivity for both analysts and developers in the data integration community. Presenter: Diby Malakar - Director Product Management for Informatica Mr. Malakar's primary focus area is building products and solutions around Business-IT Collaboration and Self-Service Data Integration. His prior experience includes working as Acting-VP of Engineering and Senior Director of Product Management for Cloud9 Analytics, a SaaS-based startup focused on building sales performance management applications. He has also worked for companies like KPMG, Neoforma and TiVo in various engineering management and product management capacities. He has more than 15 years of experience in the information technology industry and specializes in business intelligence, data warehousing, and data quality management. He holds a Bachelor’s degree in Computer Science and a MBA in Information Systems. He is an active member of IAIDQ and is currently serving as the President of the San Francisco chapter of DAMA. He has also worked as a Program Director for the San Francisco chapter of DAMA. He is currently also serving on the DAMA International Board of Directors as VP of Industry Services. He has also been on the Speaker Selection committee for conferences such as the Enterprise Data World Conference. His articles have been published in a variety of places such as TDAN, Wharton’s Leadership Digest, and Oracle Magazine.
May 11, 2011
Title: Data Quality and its Importance
in Business Intelligence Abstract: The idea “Garbage in, garbage out” couldn’t be truer when we talk about Data Quality and Business Intelligence. In this sessions we will discuss the fundamentals of Data Quality or what we really mean by “Garbage in” and how it can impact business decisions or “Garbage out”. In today’s world of information explosion, enterprise data is an important asset and it is critical to identify, correct and monitor the quality of data through its lifecycle. Presenter: Abhiram Gujjewar, Senior Product Manager, Enterprise Information Management, SAP BusinessObjects Abhiram is Senior Product Manager with SAP BusinessObjects with over 10 years of experience in developing data quality software as lead engineer as well as a Product Manager. Abhiram comes to SAP BusinessObjects as part of acquisition of Firstlogic, Inc, a well known and respected name in the world of Data Quality. Abhiram’s areas of interest are Data Governance and Master Data Management and his area of specific focus include Data Quality metrics, Data Profiling, Data Cleansing and Data Matching.
Abstract:
Presenter: Shankar Venkataraman
Shankar Venkataraman is a Program Director and Senior Technical Staff
Member (STSM) at IBM. Shankar leads the development team for the
BigInsights product line, which is part of the BigData organization in the
Information Management business of IBM. Prior to this, Shankar worked in
the Cognos division of IBM, where he spent time leading the Business
Insights product line as well as the Real time operational BI product
line.
August 10, 2011
Title:
Modeling the Abstract: (In Work) Presenter: Matt Creason, Principal System Consultant with SybaseMatt Creason has worked and consulted in application
development and enterprise architecture for over 15 years. His employers
and clients include Fortune 500 companies and Federal, State, and Local
governments – for whom he has provided modeling, SDLC, and application
development services. The author of many articles for industry
publications, Matt is a Zachman Certified Enterprise Architect, and
currently is a Principal System Consultant with Sybase serving as a
Modeling and Metadata specialist.
September 14, 2011
Title:
Communicating Data Governance (Developing the plan) Note, this is a WebEx only presentation. WebEx connection instructions will be included in the September Newsletter. Abstract: This talk will describe steps required to develop data governance
communication. While data governance isn't a new concern for
organizations, many parties are newly exposed to the wider needs for data
governance and the unacceptable results of poor data governance increasing
awareness. Developing an efficient/effective communication plan is a
critical success factor in the success of any data governance
organization. In the past, the majority of plan focus has been on
technical aspects of data governance. Now we know that at least
three data governance communication-types (internal, responsive, and
proactive) are required for your organization. Other aspects of data
governance communication planning include: when specifics are
required, where to get certain information, and how to develop and
implement the plan.
Presenter:
Peter Aiken Peter Aiken is an award-winning, internationally recognized thought leader in the area of organizational data management, architecture, and engineering. As a practicing data manager, consultant, author and researcher, he has been actively performing and studying these areas for more than 30 years. His sixth book is titled XML in Data Management. He has held leadership positions with the US Department of Defense and consulted with more than 50 organizations in 20 different counties. Dr. Aiken’s achievements have resulted in recognition in Outstanding Intellectuals of the 21st Century and bibliographic entries in Who’s Who of Emerging Leaders in America, Who’s Who in Science and Engineering, and other recognitions. His entertaining but clear and concise insights make him a sought after speaker, lecturer and consultant. He is an Associate Professor in Virginia Commonwealth University’s Information Systems Department and the Founding Director of datablueprint.com
October 12, 2011 Title: Data Virtualization for Agile Business Intelligence Systems and Virtual MDM Abstract: A lot of informational applications rely on data
warehouse solutions and a traditional waterfall approach to designing
business intelligence systems.
Also millions of dollars are being spent on elaborate Master
Data Management solutions involving a physical master data hub.
In the age of rapidly changing data, data sources and business
context, are these systems DOA? Data Virtualization, which abstracts and allows
loose coupling of data consumers and data sources, provides not just a
technology, but also a new way of thinking about information
management at a time when the complexity and volume of data, and the
heterogeneity of sources is growing exponentially. This session covers
the value that Data Virtualization can add to data warehouse
architectures and business intelligence initiatives to provide more
flexibility at lower cost, enable self-service BI, operational BI,
rapid prototyping, and real-time analytics. It also looks at why
deploying a virtual MDM makes more business sense than a physical MDM. The concepts will be made real in a short demo using
a leading Data Virtualization platform.
ˇ
Data Virtualization -
concepts, how it works, benefits, performance
ˇ
Using Data Virtualization for Agile BI
and Data Warehouse Extensions
ˇ
Benefits of Virtual MDM and how it can
evolve and complement physical MDM Presenter: Suresh Chandrasekaran S
November 9, 2011 Title: Top Success Factors For MDM Projects Abstract: In an open discussion forum, learn:ˇ
Presenter: Christine Carpentier Christine Carpentier has over 25 years of experience
in the design and development of information management solutions that
deliver measurable business value to clients. She has designed
and implemented master data management solutions across industries, MDM
implementation styles, architectures, and technologies. She
has architected large-scale MDM programs, information architectures, data
warehouses, and business intelligence solutions throughout various
industries. She uses her knowledge of information
architecture, best practices, and business strategy to develop
methodologies, processes, and solutions that are innovative but also
practical.
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