The world's foremost Masters of BI & DW are coming to Australia & NZ...

26-27 March - Royal NZ Yacht Squadron, Auckland (New Zealand)
29-30 March - Doltone House, Sydney (Australia)

Introduction                Speakers               Sponsors              Download the Brochure            How to Register

AGENDA - DAY ONE

0830 – 0900     REGISTRATION & REFRESHMENTS

0900 – 0915     EVENT WELCOME & INTRODUCTION

MICHAEL WHITEHEAD CEO & Founder

WHERESCAPE (NZ)

A data warehousing industry veteran, Michael has spent more than a decade designing and building commercial data warehouses for customers in a wide variety of industries.

WhereScape design, develop, sell and support WhereScape 3D, the industry’s first data warehouse planning tool; and WhereScape RED, the industry’s first and best integrated development environment for building, deploying, managing and renovating data warehouses. WhereScape is used by thousands of users at hundreds of organisations all over the world to plan and build data warehouses and data marts right, now.

0915 – 1030     INTERNATIONAL KEYNOTE PRESENTATION

NEXT GENERATION BUSINESS INTELLIGENCE & DATA WAREHOUSING

Many Companies are finding traditional approaches to BI and data warehousing time consuming and costly to deploy. The result is that companies are not gaining the full business benefits out of their BI investments and are unable to make BI as pervasive in the organisation as they would like. These issues coupled with increasing business competition, higher costs and lower profits are causing organisations to look for faster and lower-cost approaches to exploiting BI and analytics for business benefit. This opening session looks at new, faster and more agile BI and DW approaches and discusses the business benefits they provide.

COLIN WHITE President & Founder

BI RESEARCH (USA)

1030 – 1100     MORNING REFRESHMENTS & NETWORKING OPPORTUNITY

1100 – 1215    INTERNATIONAL KEYNOTE PRESENTATION

DIY BI & ANALYTICS – REAPING REWARDS & AVOIDING CHAOS WITH SELF-SERVICE BUSINESS INTELLIGENCE

As the velocity of business increases, business users are less willing to wait for the IT department to create custom reports and analytics. Many users now expect to be able to interact with information and create their own views of data to address pressing business issues.

At the same time, BI teams would like to offload report and analytics creation duties to users and focus on more value-added activities.

Fortunately, a new crop of self-service BI and analytics tools promises to empower users while liberating the BI team from ad-hoc reporting tasks. To work, these tools must be easier to use than previous generations of BI tools, and give the BI team a measure of control over the semantic representation and use of back-end systems and oversight of the creation of standardised reports and dashboards for decision-making.

CLAUDIA IMHOFF President & Founder

INTELLIGENT SOLUTIONS INC. (USA)

President & Founder

BOULDER BI BRAIN TRUST (USA)

1215 – 1330     INTERNATIONAL KEYNOTE PRESENTATION

A PRACTICAL GUIDE TO AGILE DATA WAREHOUSING & BUSINESS INTELLIGENCE

This session looks at new ways to rapidly build, change and extend BI systems using agile development methodologies and what new data warehouse development tools are available in the marketplace to help make this possible.
•    What is Agile BI & what are the requirements for Agile Data Warehousing and BI to succeed?
•    Benchmarking your own agility
•    What are organisations doing to ‘get agile’ in data warehousing and BI?
•    Technologies you can use for agile data warehousing and BI
•    The importance of data virtualisation in agile development
•    What kind of things should you avoid?
•    Hints and tips to achieve success

-    How do you get started?
-    Deciding where to use agile DW and BI development
-    Changing traditional DW/BI architecture to introduce flexibility
-    Methodologies for agile development
-    Metadata capture in agile BI development Model driven and component based development
-    Self-service BI and collaborative development

MIKE FERGUSON Managing Director

INTELLIGENT BUSINESS STRATEGIES LTD. (UK)

1330 – 1430         LUNCH

1430 – 1530         THE AGILE PRACTITIONER'S PERSPECTIVE

MAKING THE MOVE FROM WATERFALL TO AGILE
This session will cover the transformation from a “stalwart waterfall guy” to a believer in agile methods. Jimmy will discuss his rationale for this transformation along with the challenges faced in introducing agile methods. He’ll draw on experiences from developing DW solutions over the past 10 years at 3 different companies. Topics that will be covered include:

• Why Agile and why not Waterfall
• What are we trying to solve
• How to deal with the barriers

JAMES (JIMMY) LEE Enterprise Business Intelligence Architect
NIKE INC. (USA)

1530 – 1600         AFTERNOON TEA & NETWORKING OPPORTUNITY

1600 – 1700         INTERACTIVE EXPERTS PANEL DISCUSSION SESSION

GETTING AGILE WITH DATA WAREHOUSING, BUSINESS INTELLIGENCE & ANALYTICS
(Panelists TBC)

1700 – 1830         NETWORKING DRINKS AND CANAPES

AGENDA DAY TWO

0830 – 0900         COFFEE & REFRESHMENTS

0900 – 0915         WELCOME ADDRESS – MD – MICROSOFT

0915 – 1030         EXTENDED FOCUS SESSION

KNOWING YOUR CUSTOMERS: USING CUSTOMER ANALYTICS TO DRIVE REAL COMPETITIVE ADVANTAGE

In today’s economy, making the right decision every time is more critical than ever – especially when dealing with your customers. The foundation for enabling better decisions is a solid analytics environment using trusted data. But this foundation is under stress not only to capture structured customer data but from the additional strain of capturing and analysing massive volumes of information generated by the Big Data revolution.

Most executives today would state categorically that Business Intelligence (BI) plays a crucial role in understanding and supporting their customers – but what exactly is this role? Is it simply as a supporting character? A back-stage-hand? Or should it be the star of your customer relationship management? What does the addition of Big Data really add to your understanding of customers? For example, many companies can segment their customers or determine their basic profitability – but these analytics may generate only a partial picture of customers. Sentiment analysis and social analytics can add a further understanding about who these people are – but are these new sources of data worth the effort to attain and analyse them? Furthermore, for customer analytics to be truly effective, they must be made available to all customer-facing personnel and attain the status of supporting fact-based decision-making used by the entire enterprise.

This seminar session will cover the timely topics:

• The factors you need to become a world-class customer-focused enterprise
• What types of analytics are needed
• Examples of companies using customer analytics and what makes them effective
• The characteristics these companies have in common for customer analytics
• What do you need to do to move your company toward this fact-based decision making environment

CLAUDIA IMHOFF President & Founder

INTELLIGENT SOLUTIONS INC. (USA)

President & Founder

BOULDER BI BRAIN TRUST (USA)

1030 – 1100     MORNING REFRESHMENTS & NETWORKING OPPORTUNITY

1100 – 1215     INTERNATIONAL KEYNOTE PRESENTATION

THE IMPACT OF BIG DATA ON BUSINESS

At present, there seems to be an almost continuous stream of announcements from vendors and analysts about the implications of “Big Data”. This in turn has caused endless and heated debates from industry pundits about what the term actually means. The result is that many people now feel this term has become a meaningless and overhyped marketing buzzword. Although there is a certain degree of truth in this latter viewpoint, Big Data is nevertheless a useful buzzword because it reflects analytic solutions that were not easy or not previously possible to implement.

Many of these solutions can bring significant business benefit. The objective of this presentation is not to debate the meaning of Big Data, or its associated buzzword big data analytics, but to discuss use cases for new and evolving big data technologies and how the existing data warehousing environment can be extended to support them. It will:
Review the many dimensions of big data and big data analytics: volume, velocity, variety, and workload complexity and agility.

• Discuss use cases and the benefits they can bring to the business
• Look at the technologies that support each of these use cases
• Explain how the existing data warehousing environment can be extended to support big data and big analytics

COLIN WHITE President & Founder

BI RESEARCH (USA)

1215 – 1300     INTERNATIONAL KEYNOTE PRESENTATION

SELF-SERVICE BI: THE BENEFITS OF COLLABORATIVE MOBILE COMPUTING

A popular axiom in BI vendor marketing is that we need to deliver information to business users in the format, and through the interface and device of choice. What this really means is we need to make information more consumable, usable and sharable. Recent developments that help here are the convergence of business intelligence with both collaborative computing and mobile computing. This convergence not only makes information more consumable, but also extends the reach of BI to a much wider audience. Deployment of these two technologies, however, requires careful evaluation and planning. Topics that will be covered here include:

• Determining what users want
• The convergence of BI with collaborative and mobile computing
• The role of search
• The impact of social computing technologies
• Supporting the mobile user
• Customer examples
• Best practices for supporting collaborative and mobile

Jointly Presented by:

COLIN WHITE & CLAUDIA IMHOFF

1300 – 1400     LUNCH

1400 – 1500    INTERNATIONAL KEYNOTE PRESENTATION

THE IMPACT OF NEW TECHNOLOGIES ON DATA INTEGRATION & DATA GOVERNANCE

This session looks at the current state of data governance within organisations and explores the impact that new technologies are going to have on Data governance going forward. For example what are big data technologies like Hadoop going to do to data governance initiatives? How should organisations respond to accommodate this? What should happen to make sure trusted data is consistently available? What should happen to govern information distribution once data is turned into information and made available to people in collaborative and social computing environments and on mobile devices? How do you stay in control?
Status report - where are we on Data Governance today?
What’s working and what isn’t?
•    Pragmatic data governance – people, policies, processes and technologies
•    How are new technologies going to affect data governance?
           - Big data e.g. Hadoop, NoSQL databases
           - Cloud computing
           - Self-service BI
           - Social media
           - Mobile devices
•    How do these new technologies effect how you implement data governance
•    What is the impact on metadata management, data modeling, data quality, data integration, data security?
•    What must be done to supply consistent trusted data to data warehouses, big data stores, MDM and data virtualization to keep data governed?
•    What effects governance outbound from trusted data stores?
•    How do you govern information distribution from BI tools to collaborative workspaces and mobile devices?
•    Total anarchy Vs total governance – where is the middle ground?

MIKE FERGUSON Managing Director

INTELLIGENT BUSINESS STRATEGIES LTD. (UK)

1500 – 1520     AFTERNOON TEA & NETWORKING OPPORTUNITY

1520 – 1550    THE AGILE PRACTITIONER’S PERSPECTIVE

THE RE-HUMANISING OF SYSTEMS DEVELOPMENT THROUGH AGILE PRACTICES

A discussion on the increased engagement, creativity, and satisfaction of agile team members with a tighter association and responsibility for the final BI product

JAMES (JIMMY) LEE Enterprise Business Intelligence Architect

NIKE INC. (USA)

1540 – 1620     INTERACTIVE DISCUSSION FORUM

Here’s a final opportunity to recap and discuss the issues raised over the past two days, to raise any unresolved challenges and pose final questions to our BI & DW brain trust.

1620 – 1630     CLOSING REMARKS FROM MICHAEL WHITEHEAD