Pre-Conference Tutorials: 3 November 2010

INFORMATION QUALITY TUTORIALS
09:30-17:15
FULL DAY
The Fundamental Quality Principles Applied to Total Information Quality Management
Larry P. English, President, INFORMATION IMPACT International
09:30-17:15
FULL DAY
The Power to Persuade and Influence Without Authority
Lori Silverman, Partners for Progress
 
DATA WAREHOUSE & BUSINESS INTELLIGENCE TUTORIALS
09:30-12:45
HALF DAY
The True Cost of Ownership of Business Intelligence and Data Warehouse - The Myth of the Efficient Business User
John Ladley, Principal, IMCue Solutions
09:30-12:45
HALF DAY
Data Warehouse Appliances - Mature or Not so Mature?
Mike Ferguson, CEO, Intelligent Business Strategies
14:00-17:15
HALF DAY
Dimensional Modelling Fundamentals
Steve Hoberman, Data Modeller, Steve Hoberman & Associates
14:00-17:15
HALF DAY
Overview of Business Intelligence Architectures - from Classic to Cloud
Rick F. van der Lans, R20/Consulting
   
DAMA TUTORIALS
09:30-12:45
HALF DAY
What DM professionals Need to Know about the Latest Challenges, Trends and Technologies
Steve Hoberman, Data Modeler, Steve Hoberman & Associates
09:30-12:45
HALF DAY
Implementing Data Governance with Limited Resources
Malcolm Chisholm, President, AskGet.com
09:30-12:45
HALF DAY
Practical Metadata Strategies & Fundamentals
Peter Aiken, President DAMA International & Data Blueprint
14:00-17:15
HALF DAY
Developing EIM as a Business Program
John Ladley, Principal, IMCue Solutions
14:00-17:15
HALF DAY
Enterprise Metadata Management - Bringing Order to the Structured and Unstructured Worlds
Mike Ferguson, CEO, Intelligent Business Strategies
14:00-17:15
HALF DAY
Practical Data Management: Developing and Delivering a Successful Data Management Practices
Peter Aiken, President DAMA International & Data Blueprint
09:30-17:15
FULL DAY
Master Data Management Quick-Start Tutorial
Aaron Zornes, Chief Research Officer, The MDM Institute
   
11:00-11:15 Break, 12:45-14:00 Lunch, 15:30-15:45 Break
 
INFORMATION QUALITY TUTORIALS
Full Day
Tutorial
09:30-17:15
The Fundamental Quality Principles Applied to Total Information Quality Management
Larry P. English, President, INFORMATION IMPACT International

Quality Management is predicated on the theory of a common core set of Principles, Processes, with Techniques applied to improve Quality of manufactured products or delivered services. These Principles, Processes and Techniques apply to Information Quality Management with only slight variations.

World-class organizations apply the same quality principles, such as Deming's Fourteen Points, Kaizen, Quality Function Deployment (QFD), the Baldrige Criteria and Six Sigma for Business Performance Excellence to Information. This presentation addresses how these principles and techniques apply directly to information as a product and knowledge workers and information producers as "information consumers."

In this tutorial Mr. English describes the fundamental principles of Quality Management and how they apply to Total Information Quality Management. He describes how an organization can improve the quality and value of its information resources. He describes metrics for measuring information quality and the management principles for implementing an effective information quality environment. Mr. English describes how organizations have successfully implemented information quality processes to improve the effectiveness of their business and information system processes.

  • Fundamental Principles of Quality Management Applied to Information Quality
  • Applying Principles of Quality Management to Information Process Quality
  • Culture Transformation: Creating a Sustainable Environment for Quality Information
Featured Speaker:
Larry P English  

Larry P. English
President
INFORMATION IMPACT International

Full Day
Tutorial
09:30-17:15
The Power to Persuade and Influence Without Authority
Lori Silverman, Partners for Progress

How often do you need others in your organization to take a particular action or to change their mind on an issue? Ever wonder why some individuals are more successful at achieving these outcomes? What can you do to get the same results? Anyone can be influenced or persuaded; the challenge is learning what techniques really work, what approaches often do not, and why. Discover how to enhance your credibility and the difference between persuasion and influence-and how to decide which of these strategies is best to use in a given situation. Walk away with a multitude of proven persuasion and influence techniques that positively alter the behaviors, attitudes and beliefs of others to enable you to achieve the results you need at work.

You will learn:

  • The two components of credibility and how to enhance both of them for yourself
  • How to quickly analyze a work situation for key factors related to power, persuasion and influence.
  • How to use personality temperament to relate better to the needs of others with your language.
  • How to strengthen your persuasive communications
  • How to effectively apply seven proven influence strategies-commitment and consistency, authority, liking, reciprocity, scarcity, social proof and perceptual contrast-in your daily work.
Featured Speaker:
Lori Silverman  

Lori Silverman
Partners for Progress

DATA WAREHOUSE & BUSINESS INTELLIGENCE TUTORIALS
Half Day
Tutorial
09:30-12:45
The True Cost of Ownership of Business Intelligence and Data Warehouse - The Myth of the Efficient Business User
John Ladley, Principal, IMCue Solutions

Total Cost of Ownership (TCO) is often measured by looking at infrastructure and data movement costs, as well as throwing in some license costs. But this is the wrong view of TCO. We have reached a point where most business leaders would find it unimaginable to lose their departmental spread sheets and Access data bases. Yet enterprise data management often calls for just that approach.

The fact is TCO must include the time and money being spent at the business user's desk top - excel spread sheets, access data bases, and other forms of "shadow IT." Most of the time this number is far larger than anyone within an organization can imagine.

This tutorial will present:

  • examples of the cost of end user computing from this view
  • the metrics to collect and present that represent the value and cost of business user reporting
  • some hints and tips to collect the data for these metrics
  • " how there can be no or negative ROI on business intelligence, even if business users have access to all the data
  • how to remediate excessive costs of end user BI
  • how to align these TCO metrics in the context of business results
  • how this builds a powerful business case for enterprise data management.
Featured Speaker:
John Ladley  

John Ladley
Principal
IMCue Solutions

Half Day
Tutorial
09:30-12:45
Data Warehouse Appliances - Mature or Not so Mature?
Mike Ferguson, CEO, Intelligent Business Strategies

With the exception of Teradata and mainstream DBMS vendors, the number of analytical database products has exploded over the last 5 years making the choice of technology available to prospective customers significant to say the least . This session takes a detailed look at these databases and asks are they mature or not? How do they stack up against mainstream DBMS providers? Should they replace mainstream offerings used in data warehousing or complement them? Are they suited to specific types of application? The session looks at the different types of offerings available in the market. It also looks at what you need to consider when evaluating these offerings and how to best take advantage of these products to support BI systems in the enterprise. Finally it also looks at how such analytic DBMSs can be integrated into existing information architectures and at real case studies of them in action.
  • Analytic DBMSs - Where are we?
  • Analytic DBMS Appliances - what types of appliance available
  • The DW Appliance Marketplace - Aster Data, Calpont, Datupia, Exasol, KickFire, Kognitio, Greeplum, InfoBright, HP, IBM, Microsoft, Netezza, Oracle, ParAccel, Teradata, Sybase, Vertica, Xtreme Data
  • DW Appliance Vs BI Appliance - What is the difference?
  • The arrival of Map/Reduce - what is it and how does it strengthen the ADBMS?
  • DW appliances Vs commercial DBMS products
  • Understanding parallelism - a detailed look at parallel query processing
  • How do different software and hardware architectures impact query performance?
  • Analytical queries - where do columnar based DW appliance have an advantage?
  • Workload management - handling concurrent users and workloads
  • Evaluating appliance solutions - important selection criteria
  • NoSQL offerings - What role do they have?
  • Operational BI Appliances and Search Appliances
  • Analytic applications and the appliance market
  • Integrating appliances into your Information Architecture
Featured Speaker:
Mike Ferguson  

Mike Ferguson
CEO
Intelligent Business Strategies

Half Day
Tutorial
14:00-17:15
Dimensional Modelling Fundamentals
Steve Hoberman, Data Modeller, Steve Hoberman & Associates

Dimensional models present measures in a format that is both friendly for users and efficient for reporting tools. This tutorial will explain dimensional modelling terminology along with its purpose and power. We will compare relational to dimensional data modelling and provide guidelines for when a dimensional model is optimal. We will discuss dimensional modelling best practices and go through the steps in building a dimensional model.

You will learn:

  • Key terms including facts, dimensions, star schemas, and snowflakes
  • When a dimensional model works, and when it can be pure evil
  • Which factors sway the design decision to a dimensional structure
  • The value of the Grain Matrix in capturing dimensional business requirements
  • The purpose of subject area, logical, and physical dimensional data models
Featured Speaker:
Steve Hoberman  

Steve Hoberman
Data Modeller
Steve Hoberman & Associates

Half Day
Tutorial
14:00-17:15
Overview of Business Intelligence Architectures - from Classic to Cloud
Rick F. van der Lans, R20/Consulting

Different architectures exist for designing Business Intelligence systems. Organizations can go for more classic and well-known architectures, such as Ralph Kimball's Data Warehouse Bus Architecture, Bill Inmon's Corporate Information Factory and Data Warehouse 2.0, the Centralized Data Warehouse Architecture, or the Federated Architecture. But these architectures have been designed a few years ago, and in the mean time the needs and requirements of users have changed. Users are asking for new forms of analytics, such as operational analytics, complex analytics, deep analytics, and self-service analytics. The logical question that arises is whether these classic architectures are suitable for these new demands? Are they flexible enough, can they make operational data available for reporting?

In addition, new technology has become available, including data warehouse appliances, analytical database servers, in-memory analytics, mashups, and cloud-based technology. This technology push makes new architectures possible. In this session an overview is given of the classic architectures plus the newer ones, including the Data Delivery Platform and SaaS BI (BIaaS).

  • Overview of the various architectures - advantages and disadvantages
  • New forms of analytics: operational analytics, complex analytics, deep analytics, self-service analytics, and automated analytics.
  • Virtualizing the business intelligence architecture using the Data Delivery Platform
  • Placing the data warehouse in the Cloud - hype or reality?
  • Making operational data available for analysis
  • Self-service BI versus self-service analytics
Featured Speaker:
Rick F. van der Lans  

Rick F. van der Lans
R20/Consulting

DAMA TUTORIALS
Half Day
Tutorial
09:30-12:45
What DM professionals Need to Know about the Latest Challenges, Trends and Technologies
Steve Hoberman, Data Modeler, Steve Hoberman & Associates

This seminar explores cloud computing, mashups, and columnar databases, along with the challenges and opportunities each present for the data management professional. In each section there are a number of challenges that we will tackle as a group which will prepare you for handling these challenges on the job.

You will learn:

  • The value of the Cloud Computing Data Model
  • The difference between SaaS, PaaS, and IaaS
  • How you could become the next Cloud Cowboy Liaison or Cloud Mapper
  • The analysis and design challenges with creating Bashups
  • Why columnar databases will lead to the return of normalization and 5NF
Featured Speaker:
Steve Hoberman  

Steve Hoberman
Data Modeler
Steve Hoberman & Associates

Half Day
Tutorial
09:30-12:45

Implementing Data Governance with Limited Resources
Malcolm Chisholm, President, AskGet.com

Data Governance theory sets great store on having executive sponsorship in order to be able to deal with data issues that cross organizational boundaries. But what happens when such sponsorship is not available, or executives can only offer lukewarm support with few resources? This tutorial examines the ways in which data management can pioneer the data governance competency and gain creditability. Emphasis is placed on using tools and techniques that require little investment. Managing the scope of governance is discussed, with data management and IT being major areas of initial interest. Techniques of reporting, demonstrating value, and marketing data governance throughout the enterprise are also addressed. Using a principles-based approach with minimum invasiveness, but wide impact is also discussed.

Attendees will learn:

  • The basics of a data governance program that will be sustainable over the long term
  • Low cost tools and infrastructure that can be leveraged in data governance
  • The use of a principles-based approach for minimal disruption and maximum effect, while avoiding bureaucracy
  • Selecting areas for data governance, especially within the IT function
  • Reporting, marketing, and stakeholder management.
Featured Speaker:
Malcolm Chisholm

Malcolm Chisholm
President
AskGet.com

Half Day
Tutorial
09:30-12:45
Practical Metadata Strategies & Fundamentalst
Peter Aiken, President DAMA International & Data Blueprint

Our surveys show that management typically does not understand the need to manage metadata. Consequently, today's metadata initiatives must deliver immediate ROI to retain management commitment. This seminar demonstrates how organizations have rapidly and successfully started gained value from metadata projects in today's environment. Success is achieved by applying metadata strategies and concentrating on the fundamentals. Upon completion, delegates will be able to get started with metadata and making rapid progress in today's environment by articulating and implementing metadata projects that will reduce integration costs and increase information asset quality and utility.

Learning Objectives - Participants will (be able to):

  • Understand the basic theories/guidance used to leverage metadata into existing/planned DM solutions - insight into the practical and effective;
  • Comprehend the many complimentary characteristics between metadata and data management practices;
  • Grasp the general utility to be gained from various metadata repository solutions and technologies;
  • Appreciate the many ways that the XML component architecture can be used to compliment metadata implementation efforts;
  • Assess and articulate the business value of proposed metadata projects.
Featured Speaker:
Peter Aiken  

Peter Aiken
President DAMA International & Data Blueprint

Half Day
Tutorial
14:00-17:15
Developing EIM as a Business Program
John Ladley, Principal, IMCue Solutions

EIM and managing information assets is a business issue. If you state information is truly an asset, then engaging the entire business is mandatory. Business leaders are called upon to "do governance", learn to be stewards, data owners, and change agents while still accomplishing their day-to-day responsibilities. Experience and research has shown none of the critical success factors for EIM have anything to do with technology. This half day tutorial will use real case studies to explain how to:
  • Determine what type of EIM is best for your organizations
  • Understand and apply the 5 core principles of EIM
  • Understand the three critical success factors without which your EIM effort will fail
  • Review the 7 step process to define your EIM program, including business alignment and a sustainable road map
Featured Speaker:
John Ladley  

John Ladley
Principal
IMCue Solutions

Half Day
Tutorial
14:00-17:15
Enterprise Metadata Management - Bringing Order to the Structured and Unstructured Worlds
Mike Ferguson, CEO, Intelligent Business Strategies

This tutorial looks at the role of Metadata Management in Enterprise information Management initiatives. It shows how companies can organize themselves and what technologies to use for metadata management in order get control of both structured and unstructured data. In particular it looks at:
  • Common business vocabularies
  • A methodology for continuous improvement in structured data
  • Disparate data definitions for the same data
  • Mapping disparate definitions to common ones
  • Data cleansing and data integration rules
  • Generating ETL, EII and ESB translations off the same metadata
  • Integration of master data metadata with taxonomies
  • Master Taxonomy Management
  • Integrating Taxonomies with content authoring tool and Content Management Systems
  • Using metadata to clean and integrate unstructured content
Featured Speaker:
Mike Ferguson  

Mike Ferguson
CEO
Intelligent Business Strategie

Half Day
Tutorial
14:00-17:15
Practical Data Management: Developing and Delivering a Successful Data Management Practices
Peter Aiken, President DAMA International & Data Blueprint

Responding to the question "How does successful data management benefit organizations?" this tutorial illustrates how various data management functions can provide tangible business value to organizations. Using the DAMA Guide to the Data Management Body of Knowledge (DM BOK), examples are provided for data governance, architecture, data development, database operations management, data security, reference/master data, data warehousing and BI, document and content management, metadata management, data quality management.
Featured Speaker:
Peter Aiken  

Peter Aiken
President DAMA International & Data Blueprint

Full Day
Tutorial
09:30-17:15
Master Data Management Quick-Start Tutorial
Aaron Zornes, Chief Research Officer, The MDM Institute

Here's an excellent opportunity to improve your success as an enterprise/data/solutions architect or other IT professional embarking upon your first MDM initiative. During this fast-paced tutorial, you'll learn the best practices every IT professional must know to fast-track success and minimize risk. Combining presentations, moderated discussions, and case studies, this tutorial's proven agenda is practical, personal, and uniquely tailored to the needs of the participants. The MDM Institute's chief research officer will share real world insights from over 1,200 MDM programs to provide guidance concerning:
  • Establishing key MDM solution strategic planning assumptions in a rapidly churning market -- multi-domain, data governance, hierarchy management, identity resolution, and more
  • Determining MDM evaluation criteria and weighting - architectures, data models, SOA, semantic models, etc.
  • Leveraging case studies as templates for "out of box" MDM strategizing - financial services, pharma, government, telecoms, and more
Featured Speaker:
Aaron Zornes  

Aaron Zornes
Chief Research Officer
The MDM Institute