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WICCA -- Things will be getting more wireless, more intelligent, more connected, more complex and more automated:
Wireless – pervasive computing and pervasive management
Intelligent – software with built-in ability to adapt
Connected – bridges being cobbled together for the islands of information, applications talking to one another, business and technology connecting to deliver true value to the organization
Complex – more bells and whistles added to our DBMS and management tools making them harder to understand without…
Automation – tools that use built-in intelligence to move toward self-management
Additional NBT ideas were taken from the audience, including:
Optimizing the Value of Metadata for Business People
If you ask a businessperson if metadata is important to them, he or she will more than likely say “no”. If, however, you ask them whether it is important to know how an element in a report was calculated, or to know how current the information is, or to know from where the information was obtained, you’ll likely get affirmative answers on all counts. This presentation helped the audience understand what is involved in delivering a practical business intelligence solution and covered the following key areas.
Wednesday, May 5
2:45 pm – 3:45 pm
Universal Priciples of Integration
Universal Data Models, LLC
How can we move towards integration versus disintegration? Why are some organizations able to integrate their data and systems better than others? Len Silverston, best-selling author, will share experiences, universal principles, and recommendations regarding effective ways to integrate data and systems. This keynote address covered issues such as:
The goal of this presentation was to share a picture of what integration looks like, what disintegration looks like, and principles that you can put into practice to move towards integration.
SPECIAL INTEREST GROUPS
Wednesday, May 5
5:30 pm – 6:30 pm
Universal Process Models - Re-usable, holistic templates for the "other" side of the coin.
Universal Data Models, LLC
Just as “universal data models” offer re-usable components for quickly developing data models and data warehouse designs, there are many common processes that occur throughout various enterprises. For example, most enterprises have processes regarding marketing, sales, order processing, shipping, invoicing, collections, and accounting. While processes will vary from one organization to another organization, there are many processes that are very similar and process models can be re-used (and/or customized) in order to provide additional perspectives, quality checks, as well as providing templates for developing process models more quickly. This session discussed practical, re-usable, process models to facilitate quicker development of process models for common functions. Practitioners will often develop an enterprise process model in addition to an enterprise data model. Why re-invent the wheel regarding common processes such as contacting sales leads or checking credit history?
Net Centric Data Strategy SIG
Whitemarsh Information Systems Corporation
There was about 10 persons attending this special interest group. The goal of the meeting was to present, discuss, and receive input regarding DoD's 7 Net Centric Data Goals. The US Department of Defense "Net Centric" Data Strategy is aimed at making data assets more visible, accessible and understandable to all the various stakeholders. The discussion was lively and very constructive. A summary of the comments for each goal will be constructed and will be submitted both to the U.S. Army and to a key individual within the Office of the Secretary of the DoD (Tony Simon). A further discussion was held regarding the need to have a more formal user group on "data issues" within the DoD.
Thursday, May 6
8:30 am – 9:30 am
Establishing Best Practices within American Century's Data Services Department
Data Analyst - Specialist
American Century Investments, Inc.
American Century Investments Data Services Department has been establishing its Best Practices through:
Driving Strategic Direction and Results for Enterprise Data Architecture at Intel
Chief Data Architect
The Chief Data Architect at Intel Corporation discussed the challenges of introducing Data Architecture as a major management initiative in a large and distributed manufacturing company. The major challenge is to illustrate to senior management the strategic advantages of establishing an Enterprise Data Architecture, simplifying tools and methods, managing information with the same care as the company manages other valuable assets. He also showed his CIO level why central administration of data can actually free businesses users to develop more creative and useful local applications, and add greater data security. Mention was made of the power of the Zachman framework to direct individual efforts, and Data Quality, to locate systems of origin and records of reference that could serve the needs of the company with consistently defined business information. Key points were:
Putting "Place" in the Database - Spatial Information Storage and Use
Senior Systems Analyst
Location information is no longer consigned to the specialized realm of Geographic Information Systems software packages and gurus. More and more mainline commercial RDBMS support datatypes and storage solutions for location information. We as data managers will be exposed increasingly to these new data sets that describe location in new ways, and we will need the tools and systems in place to manage these data. In general, most location information has been geographic, thus the acronym GIS. But location applies to many things, and databases will be storing and using information about many things besides geographic locations. The mapping of the human genome uses an Oracle datatype to store the gene locations. Virtual buildings can have their layouts stored in spatial coordinates independent of any geographic system. New York City's non-emergency 311 telephone service uses location information to respond to callers' queries about the nearest library, park or police station. Once these types of information are stored in databases, then the job of spatial data management falls to the IT department and DBA. This is an exciting new element in the field of data management, and one to which not many of us have yet been exposed, but we will be more and more. It is time to get ourselves up to date on location data management and the metadata without which its use will be so limited.
What Your Mother Never Told You about Meta Data
(Including, No One Makes Their Own Bootstraps!!)
Richard Weimar, Jr.
State of Michigan
We have just successfully completed the first phase of the meta-Data Repository for the State of Michigan’s welfare organization, The Family Independence Agency (FIA). We have progressed from being “green as gourd guts” to relatively sophisticated journeymen about what meta-data is, its true value and how to manage it to benefit the business. We were surprised by the significant potential value and power in good meta-data of broad scope which we had not considered initially. We are beginning to take advantage of these attributes. The key is - No one does this successfully by themselves. Other people have good ideas too! Accepting this up front and using it as the driving principle will significant contribute to a successful project.
Refactoring Metadata: Finding Architectural Compatibility through Structural Comparisons
Senior Research Associate
University of Melbourne
A plethora of metadata standards are emerging, often founded in different descriptive traditions, and documenting an increasing variety of objects. As a consequence, there is an increasing need to be able to compare, merge or translate metadata between different standards. Prior to the conversion between different metadata standards, an interoperability analysis must first be undertaken to ensure that the correspondences between XML architectural components (namespaces, schemas, DTDs) and XML documents (elements, nodes) are understood and any incompatibilities resolved. Methods for such analysis are often complex, and require reference to formal standards in order to clarify structural relations. With the growth of metadata catalogues, there is increasing importance of automated methods for such large scale analysis and conversion tasks.
The Return of the Data Warehouse: This Time It's for Real
Hired Brains, Inc.
PANEL: How to Get Business and Data Professionals Interacting
There is a major chasm at Row Three in the Zachman Framework: a major disconnect between the information that business needs to operate successfully and the databases managed by IT. The growing disparity of the data resource is severely hampering the growth and success of most public and private sector organizations. Basic principles of modeling data to meet business needs, proper normalization of the data, and the real power that can be supplied by database management systems seem to have been forgotten. Business and data management seem to be on separate and diverging paths.
This panel considered questions such as:
Thursday, May 6
9:50 am – 10:50 am
The Agile Data Method: A Roadpath for Modernizing Data-Oriented Activities
President and Senior Consultant
Ronin International, Inc.
How to Make Data Quality Indispensable
Data Cleansing Manager
UK Ministry of Defence
Data Cleansing Manager
UK Ministry of Defence
The Cleansing Project (TCP) was set up with a finite life expectancy to clean Logistics data for the Defence Logistics Organisation – and then disband. But by working closely with the supply chain business units, TCP were able to change business processes and system controls to reduce data corruption, and were able to demonstrate, through metrics and real-world examples, that they had played a central role in reducing waste and inefficiency within the Supply Chain. Over two years the team became the central focus for information quality within the UK Ministry of Defence, and by challenging the organisational culture of the Defence Logistics Organisation and by spreading awareness of Data Quality the team secured the funding and senior management endorsement to change the team from a finite-lived project into a permanent Centre of Excellence in Data Quality.
Business Rule Engines: Build or Buy?
Several vendors have entered the business rule product space, all promising to deliver the management and implementation of business rules for our applications. This presentation looked at the approaches of some of the tool vendors and explore some of the issues to consider when making the build or buy decision. Strengths and weaknesses of the various approaches to the business rule problem were addressed.
Meta-data for Hub-Based Enterprise Application Integration
Associate Technical Fellow
The Boeing Company
Enterprise Application Integration for large enterprises rapidly becomes too complex for point-to-point interfaces. The alternative is a hub-and-spoke architecture with hub mediating the flow of data among applications. With this strategy, a number of integrations technologies gravitate toward the hub: integration brokers, message brokers, data warehouses, web services, security managers. Managing the assembly, deployment and evolution of hub technology, as well as that of the constantly changing set of spokes, requires not just significant quantities of meta-data, but a meta-data architecture adequate to the needs of many people, with many perspectives, many goals, many tools, many asynchronous tasks.
Applying Data Modeling Disciplines and Techniques to the New World of Web Services, XML and Semantics
Arpeggio Technology, LLC
XML is becoming firmly entrenched as the standard for “data in motion” among e-business applications and in service-oriented architectures. As a result, important data is now moving across physical networks and across semantic boundaries instead of inside traditional data repositories. Creates new challenges, including intensive new requirements for visibility and understanding of data at both the technical and business levels. By leveraging XML meta data and other technologies, it is possible to create dynamic, extensible semantic models that vastly improve data effectiveness and manageability across XML service networks. This session discussed:
Evaluating DBMS Platforms for a Next Generation Data Warehouse
Michael K. Miller
|This report compiled and edited by Tony Shaw, Program Chair, Wilshire Conferences||General Chair Yogendra K. Joshi Georgia Institute of Technology, usa program Chair Sandeep Tonapi Anveshak Technology and Knowledge Solutions, usa chair, Thermal Management|
|Opening Ceremony and Committees Address by General Chair and Program Chair||Wseas and naun conferences Joint Program|
|Associated Press – 1/21 isu space food program closes Tony Pometto Faculty/research||Warren L g koontz (Professor and Program Chair)|
|Nelson is president, board member and annual congress program co- chair of the International Management Development Association imda||Ipo chair, nipde general Manager, us tag chair|
|Pygmalion by George Bernard Shaw||Shaw College, The Chinese University of Hong Kong|