Certificate in Advanced Data Analysis

Certificate In Advanced Data Analysis 15 – 19 December 2013 • The Address Hotel, Dubai Marina, Dubai, UAE

Delegates are required to carry their laptop to the course

Increase productivity, operate with higher efficiency and make better-informed decisions from your analytical data

5 Key Learning Objectives 1. Learn advanced analytical techniques and methods designed to focus on remediation of problems and decisions and apply the information to solve key management issues 2. Discover insights into the issues involving risk, sensitivity, influence in decision making and identifying patterns of performance 3. Acquire capabilities and skills to analyse various aspects of business performance and apply the appropriate action for solutions 4. Increase your ability to provide useful insights into the data that will support good decision making 5. Apply the techniques that business analysts at leading companies use to transform data into bottom line results

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About Your Expert Course Leader Frank Kowalkowski is President of Knowledge Consultants Inc., a professional services firm founded in 1984 with practice areas in knowledge management, business intelligence and performance, business and systems architectures, supply chain management, and application design and development.

The George Washington University School of Business, IIR Middle East’s Academic Partner, is dedicated to excellence: in its teaching and research about management, in the public and private sectors, within the United States and internationally.

The school has a 75 year history of preparing men and women for leadership in both the public and private sectors. Known internationally for its dedication to academic excellence, the school draws students from all parts of the United States and around the world.

Beyond first class teaching and scholarship, the school’s faculty offers practical experience in the issues and challenges confronting business and government. Its research centres link faculty and students with US and international business and government organisations. Recent distance learning initiatives have expanded the school’s global reach.

Course Requirements And Certificates Delegates must meet two criteria to be eligible for an IIRME/GW Certificate of Completion for a course: 1.

2.

Satisfactory attendance – delegates must attend all sessions of the course. Delegates who miss more than 2 hours of the course sessions will not be eligible to sit the course assessment.

Successful completion of the course assessment.

Delegates who do not meet these criteria will receive an IIRME Certificate of Attendance. If delegates have not attended all sessions, the Certificate will clearly state the number of hours attended.

T: +971 4 335 2437 F: +971 4 335 2438

He has over 30 years of management consulting and industry experience in manufacturing, distribution, insurance and financial services. Frank has been involved with projects that include e-commerce, application integration, ERP and supply chain management, knowledge management, artificial intelligence, business performance measurement, data warehousing and process improvement.

Previously he was Director of Consulting for the Spectrum Group. Frank was responsible for reengineering consulting, process improvement and operational systems consulting. His engagements included senior management presentations, audits, assessments, organisational studies, and methodology development and implementation. He was also a Manager of Consulting with Kearney Management Consultants with broad-based experience as project manager on productivity improvement projects.

He is the author of Enterprise Analysis, published by Prentice-Hall, and over 70 papers.

Who Should Attend This Course?

This course is designed for business analysts, executives, financial analysts, planners, proccess analysts, operational analysts, auditors that are doing operational analysis, engineers that do project planning and analysis of alternatives and managers that are involved with quantitative decision making.

Would you like to run this course in-house?

The in-house training division of IIR Middle East Tel: +971 4 407 2624 • Email: CTS@iirme.com www.iirme.com/cts

W: www.iirme.com/advanceddata

Certificate In Advanced Data Analysis 15 – 19 December 2013 • The Address Hotel, Dubai Marina, Dubai, UAE Course Timings: Registration will be at 08:00 on Day One. Course sessions will commence at 08:30 and end at 14:30. There will be two short breaks for refreshments at appropriate times and lunch will be served at the end of each day’s sessions.

Course Overview Business excellence today means more than just process improvement or having a good quality program. It means having the capability and the skills to analyse various aspects of business performance.

Analytic techniques have evolved to solve certain types of business problems. Some of the newer techniques are critical to good analysis. These techniques include influence diagrams, neural nets, decision trees with alternatives, semantic analysis and various types of simulation.

The widespread availability of data and the emergence of a variety of analytical techniques and methods are critical to the business. These techniques are designed to focus on remediation of problems, decisions or situations. Actions involving risk, sensitivity and influence on decisions impact the direction of the business. Positive structural changes for consolidations, performance improvement or privatisation are the foundation for successful results.

Methods and concepts for decision making are covered in detail during this course. Basic 4-box techniques require thought and insight into their meaning and interpretation. Deciding between alternatives requires some form of decision analysis.

Ranking risk requires a method of quantifying and then ranking the risk.

Many tools are available for the advanced techniques. Since various types of tools are used for this level of data analysis only a few can be used and shown during this seminar. While Excel can be used for many of the exercises it may be necessary to use neural net and tree diagramming tools for certain problem types. Delegates require a laptop with the capability of installing software on the laptop.

Course Outline

Day One

• Hierarchical regression • Logistic regressions – The 4-box technique

Understanding And Using Advanced Techniques For Improved Business Performance

Exercise – Using regression, correlation and 4-box analysis

Introduction – Problem Solving And Data Analysis • Course objectives and structure • Problem solving in business • About advanced techniques • Tree structure approaches • Semantic and predictive text analysis • Pattern analysis – statistics vs. neural nets Demonstration – What if analysis of business performance Traditional Data Analysis Techniques • Statistical thinking • Basic ranking approaches • Dealing with missing data • Data bridging techniques • Statistical process control • The ‘Black Swan’ idea Advanced Correlation And Regression Analysis • Correlation • Simple regression • Multivariate regression • Step by step regression

Day Two Sensitivity Analysis – Understanding Impact Of Decisions Sensitivity And Linear Programming (LP) • The basic idea of LP • What kind of problems does this address?

• The objective function • Boundaries of a problem and changing values • Interpreting results Interactive Exercise – Resources for product production Evaluating Alternatives With Simulation • The idea of simulation - Uncertainty ideas, random variables, discrete events • Simulation concepts • Simulation runs • Simulation results • The Monte Carlo simulation approach • Reality – interpreting results

T: +971 4 335 2437 F: +971 4 335 2438 E: register@iirme.com W: www.iirme.com/advanceddata

Evaluating Alternatives With Simulation • The idea of simulation - Uncertainty ideas, random variables, discrete events • Simulation concepts • Simulation runs • Simulation results • The Monte Carlo simulation approach • Reality – interpreting results Neural Nets – Better Than Statistics?

• What is a neural net?

• Why do they work?

• Setting the net up • Training a net • Running a net Demonstration – Neural Nets

Day Three Decision Analysis Part One – Making The Right Choices Between Alternatives Goal Seeking And Cost Benefit Analysis • The cost/benefit concept • Cost benefit versus ROI • Calculating ROI and a cost benefit • Goal seeking • Issues with cost benefit Exercise – Goal seeking for alternatives Decision Trees • What are decision trees?

• When do you use them?

• Setting up a tree – phrasing the questions • Adding the values to the tree • Drawing conclusions Applying Decision Trees To Business Situations • Structuring a business problem • Example One – Choosing between locations for business • Maximising and minimising • Example Two – What alternatives is the highest profit?

Least cost?

• The value of information – determining payoff • Example Three – Understanding investment choice

• Defining decision utility • Results expected – identifying sensitivity Exercise – Creating a diagram and adding influences Influence Diagrams - Evaluating Alternatives • Understanding decision nodes in a diagram • Determining the alternate choices • Placing the nodes in the diagram • Valuing the policy tree • Interpreting the results Exercise – Identify the alternative of value in a product decision Influence Diagrams - Assessing Sensitivity To Analysing Results • Using Tornado diagrams • Selecting values for an assessment • Adding ranges to the values • Interpreting the results • Doing multiple sensitivity runs

Day Five Semantic Analysis – Analysing Business Structure And Ranking Change Alternatives Semantic Modeling And Analysis – The Emerging Technique • What is semantic analysis and why we do it • Business components and semantics • Semantic models • Business use of semantic models • Simple analytics • Drawing conclusions Demonstration – Analysing a consolidation opportunity Phrase Analytics – Analysing The Components Of A Business • Qualitative analysis and business architecture • Descriptive models and attributes • Touchpoint analysis • Compare and contrast business models • Inference analysis with matrices • Drawing conclusions from descriptive analytics Exercise – Creating a composite ranking

Exercise – Choosing a product or a service strategy

Day Four Decision Analysis Part Two – Understanding The Impact Of Performance Indicators On Results Indicators (Money) Preparing An Influence Diagram • What is an influence diagram?

• Diagramming techniques • What is the decision problem?

Keyword Analysis • Frequency analysis of words • Purpose of keyword analysis • Using keyword results for taxonomies • Analysing words and phrases • Interpreting results • Semantic repositories and corporate language Demonstration – Simple keyword analysis

T: +971 4 335 2437 F: +971 4 335 2438 E: register@iirme.com W: www.iirme.com/advanceddata

Certificate In Advanced Data Analysis 15 – 19 December 2013 • The Address Hotel, Dubai Marina, Dubai, UAE FIVE WAYS TO REGISTER +971 4 335 2437

IIR Holdings Ltd. P.O Box 9428, Dubai, UAE register@iirme.com

+971 4 335 2438

www.iirme.com/advanceddata

DISCOUNTS AVAILABLE FOR 2 OR MORE PEOPLE CALL – +971 4 335 2483 E-MAIL – a.watts@iirme.com

Certificate In Advanced Data Analysis

15 – 19 December 2013

Course Fee Before 29 September 2013

Course Fee Before 20 October 2013

Final Fee

US$ 4,150

US$ 4,650

US$ 4,950

WEB BC5074

Course fees include documentation, luncheon and refreshments. Delegates who attend all sessions and successfully complete the course assessment will receive an IIRME/GW Certificate of Completion.

Would you like to run this course in-house?

Save training $$ and create learning experiences relevant to your business. To customise this course and increase value and impact, contact Leigh Kendall on +971 4 407 2624 or email the team at cts@iirme.com

DELEGATE DETAILS Name: .................................................................................................................................................................................................................

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All registrations are subject to our terms and conditions which are available at www.iirme.com/terms. Please read them as they include important information. By submitting your registration you agree to be bound by the terms and conditions in full.

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A confirmation letter and invoice will be sent upon receipt of your registration. Please note that full payment must be received prior to the event. Only those delegates whose fees have been paid in full will be admitted to the event. You can pay by company cheques or bankers draft in Dirhams or US$. Please note that all US$ cheques and drafts should be drawn on a New York bank and an extra amount of US$ 6 per payment should be added to cover bank clearing charges. In any event payment must be received not later than 48 hours before the Event. Entry to the Event may be refused if payment in full is not received.

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If you would like to pay by credit card, please tick here and a member of our team will contact you to take the details

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Cancellation COMPANY DETAILS Company: ...........................................................................................................................................................................................................

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If you are unable to attend, a substitute delegate will be welcome in your place. Registrations cancelled more than 7 days before the Event are subject to a $200 administration charge. Registration fees for registrations cancelled 7 days of less before the Event must be paid in full. Substitutions are welcome at any time.

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No. of employees on your site: 1000+

500-999

250-499

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YES, I would like to receive information about future events & services via e-mail .................................................................

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Avoid Visa Delays - Book Now Delegates requiring visas should contact the hotel they wish to stay at directly, as soon as possible.

Visas for non-GCC nationals may take several weeks to process.

All registration(s) are subject to acceptance by IIR which will be confirmed to you in writing.

Due to unforeseen circumstances, the programme may change and IIR reserves the right to alter the venue and/or speakers.

To assist us with future correspondence, please supply the following details:

Name of the Department Head: ...........................................................................................................................................................................

Department: ........................................................... Mobile: .......................................... Email: ..........................................................................

Name of the Training Manager: .............................................................................................................................................................................

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Event Venue: The Address Hotel, Dubai Marina, Dubai, UAE Tel: +971 4 436 7777

Accommodation Details We highly recommend you secure your room reservation at the earliest to avoid last minute inconvenience. You can contact the IIR Hospitality Desk for assistance on: Tel: +971-4-4072693 Fax: +971-4-4072517 Email: hospitality@iirme.com

Department: ........................................................... Mobile: .......................................... Email: ...........................................................................

SN/EO

BU08

© Copyright I.I.R. HOLDINGS B.V.

MANAGEMENT

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Certificate In Advanced Data Analysis Use Data Analysis To Increase Your Confidence In Your Decision Making And Outcomes

Brand New Outline For 2014

Book and pay NOW and bring your colleague for FREE on this course Only applicable for March 2014 See last page for details*

Top 5 Learning Objectives: 1. Increase your awareness of techniques to provide quantitative support for management decisions 2. Recognise patterns in data and choose the best tools to analyse these 3. Develop your understanding of trends and sensitivity 4. Gain tools to make better recommendations and decisions 5. Build your confidence in influencing decisions, through quantitative analysis Organised by:

*23 – 27 March 2014 • Kempinski Hotel, Mall of the Emirates, Dubai, UAE 14 – 18 December 2014 • The Address Hotel, Dubai Marina, Dubai, UAE

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Delegates are required to bring their laptops to the course

About Your Expert Course Director James Graham specialises in strategy and strategic execution, with experience of working in over 40 countries across Africa, The Americas, Asia, Europe and the Middle East.

The George Washington University School of Business, IIR Middle East’s Academic Partner, is dedicated to excellence: in its teaching and research about management, in the public and private sectors, within the United States and internationally.

The school has a 75 year history of preparing men and women for leadership in both the public and private sectors. Known internationally for its dedication to academic excellence, the school draws students from all parts of the United States and around the world.

Beyond first class teaching and scholarship, the school’s faculty offers practical experience in the issues and challenges confronting business and government. Its research centres link faculty and students with US and international business and government organisations. Recent distance learning initiatives have expanded the school’s global reach.

Initially working in industry, in the sales and marketing function, he then developed a second career in management consulting, working with Pagoda Consulting, a highly respected London based boutique that focused on IT strategy and business transformation.

In these roles, he had to master quantitative data analysis, to develop the best recommendations and decisions, for example developing alternative models of business processes and the necessary staffing plans, to aid the senior executives of business in choosing how to transform their businesses.

James holds a Certificate in Management Studies, a Diploma in Psychology and a Master of Science in Consulting. He is PMP® certified and also holds British Psychological Society Level A and B Intermediate + qualifications, which requires competence in quantitative data analysis, in interpreting psychometric instruments.

He has a reputation as a thoughtful and supportive course leader, who breaks complex topics into easy to understand ‘chunks’ and demystifies technical subjects.

Course Requirements And Certificates

Course Overview

Delegates must meet two criteria to be eligible for an IIRME/GW Certificate of Completion for a course: 1. Satisfactory attendance – delegates must attend all sessions of the course. Delegates who miss more than 2 hours of the course sessions will not be eligible to sit the course assessment.

2. Successful completion of the course assessment.

The modern organisational manager or specialist is expected to work with the masses of data available from organisation wide IT systems and to be able to provide precise analysis and recommendations for senior managers/executives or to make decisions supported by facts.

Delegates who do not meet these criteria will receive an IIRME Certificate of Attendance. If delegates have not attended all sessions, the Certificate will clearly state the number of hours attended.

Assessment Process The assessment for this course will be based upon three components: • A multi-option set of relevant questions • An overall assessment by the trainer on your level of participation and demonstrated level of learning

Would you like to run this course in-house?

The in-house training division of IIR Middle East Tel: +971 4 407 2624 • Email: CTS@iirme.com www.iirme.com/cts

To do this effectively, means recognising patterns and analysing these using the best tools for the job, often in the form of computer spreadsheets and associated add-ins. This will involve recognising trends and what these mean for the organisation, as well as being able to predict the sensitivity of decisions to changes in attributes, for example the cost of fuel to a transportation form.

This engaging and interactive seminar will provide you with a rich toolset to help you make better decisions and recommendations, thus building your capability and confidence in using data analysis as part of your job role.

Course Methodology This programme will be highly interactive, with a mix of theory, including video clips and practical sessions. You will have the opportunity to share your experience, learn from others through group discussions and you will develop your skills through a series of individual and group exercises.

You Y will need a laptop, netbook or tablet with Microsoft Office® EExcel® installed and be able to install some add-ins.

Who Should Attend?

This seminar is suitable for anyone who needs to use data analysis in their job role, including strategists, programme/project managers, business analysts, business process managers, etc.

T: +971 4 335 2437 F: +971 4 335 2438 E: register@iirme.com W: www.iirme.com/dataanalysis

Certificate In Advanced Data Analysis *23 – 27 March 2014 • Kempinski Hotel, Mall of the Emirates, Dubai, UAE 14 – 18 December 2014 • The Address Hotel, Dubai Marina, Dubai, UAE Course Timings: Registration will commence at 7.30 on the first day. Course sessions will start promptly at 08.00 and finish at 14.30. There will be two breaks for refreshments and lunch will be served at the end of each day’s sessions.

Day One Overview Of Data Analysis • Data analysis in the modern organisation • Data analysis, the difference between basic and advanced techniques • Text analysis (predictive and semantic) • Decision trees and their application • Statistics and predictive analysis • Neural nets and their application Case Study Analysis – a typical organisational challenge and solution Classic Tools And Techniques • Statistics – the foundation • Ranking as a business tool • Incomplete data sets and bridging techniques • Recognising and managing outliers in a data set • The principles of statistical process control Small Group Exercise – analyse a data set and answer a series of questions Correlation And Dependence • Association explained • Correlation, a linear relationship • Correlation, application and use • Coefficients of correlation • Cause and effect gotchas • Fishbone analysis, to identify cause and effect Exercise – case study analysis using correlation

Day Two Regression Analysis • Simple/linear regression analysis and when to use it • Multivariate regression analysis and when to use it • Step by step regression analysis and when to use it • Hierarchical regression and when to use it • Regression analysis using Microsoft Office® Excel® Exercise – case study analysis using regression techniques Sensitivity Analysis In Decision Making • Mini case study – the impact of recession and unemployment on house prices in the UK • Linear programming technique and application in decision making • Understanding the objective function • Scoping a problem and managing changing data • Applying sensitivity analysis in the real world Exercise – small group work, analysing the impact of the oil price on airline planning

Computer Aided Simulation • Demonstration of Project Risk Analysis, a Monte Carlo pricing tool • The theory and practice of Monte Carlo simulation, how it works • Selecting the number of iterations to run • Types of distribution curves, kurtosis and skews • Monte Carlo add-ins for Microsoft Office® Excel® Exercise – individual task to produce a Monte Carlo analysis using a case study NB: this exercise requires the use of a laptop with Microsoft Office® Excel® 2007, 2010 or 2013 and the ability to install a Monte Carlo add-in

Day Three Cognitive Bias In Analysis And Decision Making • Definition of cognitive bias • Types of cognitive bias encountered in analysis and decision making • The risks posed by cognitive bias to decision making • Recognising cognitive bias • Dealing with cognitive bias Exercise – Case study analysis, examining examples of cognitive bias from real organisations Evaluating Alternatives • Return on investment, return on capital employed and other useful indicators • Benefit-cost analysis • Payback, internal rate of return and net present value • Quantitative risk analysis using Monte Carlo analysis • Using the Goal Seek function in Microsoft Office® Excel® Exercise – small group exercise, recommend between alternative projects, using a company policy Using Decision Trees • Demonstration of using a decision tree • Advantages of decision trees, visualisation of alternatives • Criticisms and limitations of decision trees, potential bias • Principles and mechanics of decision trees • Tips and tricks for assembling decision trees Exercise – create a complex decision tree diagram, using a case study

• •

Establishing the branches and probabilities Drawing the EMV diagram Exercise – conduct a portfolio analysis and make recommendations about strategic choices, using decision tree analysis

Using Influence Diagrams • Definition of influence diagrams • Different types of influence diagrams • How to create and draw influence diagrams • Limitations of influence diagrams • Sensitivity analysis Exercise – small group work, building a strategy map and identifying strategic themes, using a case study Value Stream Analysis • Definition of value stream analysis • The concepts of value adding time and waste time • How to produce a value stream map • Techniques to identify waste • Techniques to increase value Exercise – using a case study, build a value stream and identify ways of reducing waste and adding more value

Day Five Simulated Analysis Of Case Study After four days of learning the advanced analysis tools, by a combination of theory blocks and exercise consolidation, day five will provide the opportunity to apply these in a sustained and coherent way, using a complex case study.

The participants will be formed into groups (in a different combination to days 1-4) and will then be briefed on a new and realistic case study, which will require analysis, in three parts.

The case study will provide the opportunity for participants to consolidate their learning, in a safe environment.

After each of the three exercises, the course leader will provide a thorough debriefing and during the simulation, he will be available to provide focused support and coaching on key tools and techniques.

Review And Close • Final questions and answers

Day Four

Exercise - Ebbinghaus (memory retention) activity

Using Expected Monetary Value (EMV) • Principles of EMV • Defining potential benefits and cost of failure • Bias in EMV, factors to be aware of and how to reduce the risk

Exercise – develop an action plan to implement ‘quick win’ learning from the seminar

T: +971 4 335 2437 F: +971 4 335 2438 E: register@iirme.com W: www.iirme.com/dataanalysis

*23 – 27 March 2014 Kempinski Hotel, Mall of the Emirates, Dubai, UAE 14 – 18 December 2014 The Address Hotel, Dubai Marina, Dubai, UAE

Certificate In Advanced Data Analysis FIVE WAYS TO REGISTER IIR Holdings Ltd. P.O Box 9428 Dubai, UAE

+971 4 335 2437 +971 4 335 2438 register@iirme.com

www.iirme.com/dataanalysis

DISCOUNTS AVAILABLE FOR 2 OR MORE PEOPLE CALL – +971 4 335 2483 E-MAIL – a.watts@iirme.com Course Fee Before 5 January 2014

Course Fee Before 26 January 2014

Final Fee

US$ 4,395

US$ 4,895

US$ 5,195

Event

Course Fee Before 28 September 2014

Course Fee Before 19 October 2014

Final Fee

Certificate In Advanced Data Analysis 14 – 18 December 2014 (BC5538)

US$ 4,395

US$ 4,895

US$ 5,195

Event Certificate In Advanced Data Analysis 23 – 27 March 2014 (BC5537)*

WEB BC5537/BC5538

WOULD YOU LIKE TO RUN THIS COURSE INͳHOUSE?

Course fees include documentation, luncheon and refreshments. Delegates who attend all sessions and successfully complete the course assessment will receive an IIRME/GW Certificate of Completion. *Book and pay NOW and bring your colleague for FREE on this course. Only applicable for March 2014 course.

All registrations are subject to our terms and conditions which are available at www.iirme.com/terms. Please read them as they include important information. By submitting your registration you agree to be bound by the terms and conditions in full.

Payments

DELEGATE DETAILS

Job Title: ......................................................................................................... Email: .....................................................................................

Tel: ..................................................... Fax: .................................................... Mobile: ..................................................................................

Name: ..............................................................................................................................................................................................................

Job Title: ......................................................................................................... Email: .....................................................................................

Tel: ..................................................... Fax: .................................................... Mobile: ..................................................................................

Name: ..............................................................................................................................................................................................................

Job Title: ......................................................................................................... Email: .....................................................................................

Tel: ..................................................... Fax: .................................................... Mobile: ..................................................................................

COMPANY DETAILS Company: ............................................................................................................................................................................................................

Address: ................................................................................................................................................................................................................

Postcode: ................................................................................. Country: ...........................................................................................................

A confirmation letter and invoice will be sent upon receipt of your registration. Please note that full payment must be received prior to the event. Only those delegates whose fees have been paid in full will be admitted to the event. You can pay by company cheques or bankers draft in Dirhams or US$. Please note that all US$ cheques and drafts should be drawn on a New York bank and an extra amount of US$ 6 per payment should be added to cover bank clearing charges. In any event payment must be received not later than 48 hours before the Event. Entry to the Event may be refused if payment in full is not received.

Credit card payment If you would like to pay by credit card, please tick here and a member of our team will contact you to take the details

Cancellation If you are unable to attend, a substitute delegate will be welcome in your place. Registrations cancelled more than 7 days before the Event are subject to a $200 administration charge.

Registration fees for registrations cancelled 7 days or less before the Event must be paid in full. Substitutions are welcome at any time.

Avoid Visa Delays - Book Now

Tel: .............................................................................................. Fax: ..................................................................................................................

Delegates requiring visas should contact the hotel they wish to stay at directly, as soon as possible.

Visas for non-GCC nationals may take several weeks to process.

No. of employees on your site: 1000+ 500-999 250-499

All registrations are subject to acceptance by IIR which will be confirmed to you in writing.

50-249

0-49

Nature of your company's business: ..........................................

YES, I would like to receive information about future events & services via e-mail .................................................................

To assist us with future correspondence, please supply the following details: Name of the Department Head: .....................................................................................................................................................................

Department: ........................................................... Mobile: .......................................... Email: .......................................................................

Training Manager: .............................................................................................................................................................................................

Department: ........................................................... Mobile: .......................................... Email: ......................................................................

Booking Contact: ..............................................................................................................................................................................................

Department: ........................................................... Mobile: .......................................... Email: ......................................................................

Due to unforeseen circumstances, the programme may change and IIR reserves the right to alter the venue and/or speakers.

Event Venue: Kempinski Hotel, Mall of the Emirates, Dubai, UAE Tel: +971 4 341 0000 The Address Hotel, Dubai Marina, Dubai, UAE Tel: +971 4 436 7777 Accommodation Details We highly recommend you secure your room reservation at the earliest to avoid last minute inconvenience. You can contact the IIR Hospitality Desk for assistance on: Tel: +971 4 407 2693 Fax: +971 4 407 2517 Email: hospitality@iirme.com © Copyright I.I.R. HOLDINGS B.V.

SN/EO BU08 Management

LR

Name: ..............................................................................................................................................................................................................