| KEYNOTES | |
| Tuesday
30 October 09:30 - 10:30 |
DAMA
KEYNOTE DATABASE GRAFFITI: Scribbles from the Askew Wall C. J. Date |
| Tuesday
30 October 13:30 - 14:30 |
META
DATA KEYNOTE Milestones on the MDM Road Map for 2008-09 Aaron Zornes, Chief Research Officer, The CDI-MDM Institute |
| Wednesday
31 October 09:00 - 10:00 |
INFORMATION
QUALITY KEYNOTE So Many Data, So Little Time: Exploring, Understanding and Presenting Data with a Bias for Action Dr. A. Blanton Godfrey, Dean of the College of Textiles, North Carolina State University and Former Chairman and CEO Juran Institute, Inc. |
| Wednesday
31 October 14:00 - 15:00 |
DW/BI
Keynote Building Data-Rich Service-Oriented Business Applications in a Heterogeneous Environment Jason Bloomberg, Senior Analyst & Principal, ZapThink |
| Conference Day One: 30 October 2007 | |||
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Tuesday
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DAMA
Keynote:
This keynote is based in part on one of Chris Date's regular columns in Database Programming & Design (the tenth anniversary issue), but includes much additional material. It consists of a series of quotations, aphorisms, and anecdotes--seasoned with a fair degree of personal commentary--that are (mostly) relevant to the general subject of database management. The session is not technically deep, but several serious messages do lie not too far below the surface. The aim is partly to edify, partly just to amuse.
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| Tuesday
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META
DATA Keynote: In the past decade, large scale enterprises have added numerous applications and databases to their IT infrastructure as they diversify by adding product lines and customer bases via mergers & acquisitions (M&A). As a result, businesses have an unreliable view of customers, suppliers, products, etc., with no application or system having a "single version of the truth." In the twenty-first century, market-leading organisations increasingly see the value that can be derived from delivering single or "master" views of enterprise data. Such mission-critical infrastructure no longer need be custom-built as mega vendors such as IBM, Oracle, SAP and Teradata provide commercial off-the-shelf solutions. Enterprise MDM solutions such as customer data integration (CDI) can now be realised via this new generation of master data management capabilities – with solutions ranging from mega vendor MDM applications, systems integrator frameworks, and best-of-breed “data hub” solutions. An enterprise needs to create a unified and comprehensive customer view from all disparate data sources – including call centres, financial reporting systems, billing subsystems, and external data services. Once integrated, such "unified customer views" provide the entire organization with the ability to drive meaningful business action within and across formerly product-centric business units. Such master data management (MDM) initiatives provide the enterprise with a comprehensive "system of record" which incorporates analytical (e.g., life-time value, next best offer, etc.), as well as operational (credit rating, last "n" customer service inquiries, etc.). Moreover, business process integration strategies such as customer data integration (CDI) and master product catalogues are increasingly essential to ROI realization of M&A. The business case for CDI-MDM capabilities is driven primarily by competitive market requirements – e.g., economies of scale promised by M&A, increased cross-selling and up-selling capability, ability to rapidly deploy product “bundles,” reduced back office costs, increased levels of customer service, and enablement of customer-directed self-service. Research analysts at the CDI-MDM Institute annually produce a set of twelve milestones for their “CDI-MDM Road Map” to help Global 5000 enterprises focus efforts for their own large-scale, mission-critical CDI-MDM projects. This keynote will focus on a set of strategic planning assumptions and present an enlightening view of the key trends and issues facing IT organisations during 2008-09 and beyond by highlighting:
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| Conference Day Two: 31 October 2007 | |||
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Wednesday
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IQ
Keynote: Far too often we rush into collecting data without taking time to stop and ask why. Why are we collecting these data? Who will use them? How will they be changed into information? What action will we be able to take with this new information? How critical is the quality of these data to the decision we will make? In this presentation we'll explore these questions and discuss recent efforts to answer some of these. One area we'll explore is how Six Sigma and data quality are intricately related. Another is the intent of the new Institute for Advanced Analytics. A third area is how new interactive databases are creating new challenges for their designers and for the business analysts who use them. |
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Wednesday
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DW/BI
Keynote: In a properly architected SOA implementation, business Services represent the data and processes available to the business and the core functionality of the underlying systems. People then compose Services into Service Oriented Business Applications (SOBAs) that implement business processes or provide access to heterogeneous data sources, and many offer some combination of business process and data access. When organizations build data-rich SOBAs, they can break the ties of traditional business intelligence and business activity monitoring solutions by exposing real-time, flexible access to heterogeneous data sources, which provides far more value to the business than the static, summary data that older tools typically provide. Join Jason Bloomberg for a discussion of SOBAs, and how they leverage SOA to provide both more agile business processes as well as real-time, flexible access to heterogeneous information across the enterprise. From this session, you can expect to:
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