Certificate in Advanced Data Analysis

1 – 5 July 2012 • Radisson Royal Hotel, Dubai, UAE

Certificate In Advanced Data Analysis 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 the 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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Who Should Attend This Course?

This course is designed for business analysts, executives, financial analysts, planners, process 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.

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.

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.

Course Overview

Course Requirements And Certificates 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.

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.

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

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

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 and apply the appropriate actions for solution. The data to perform such analysis is more available now than at any other time in history. Coupled with the availability of data is the emergence of a variety of analytical techniques and methods designed to focus on remediation of problems, decisions or situations of interest to the business.

Analytic techniques have evolved to solve certain types of business problems. Deciding between alternatives requires some form of decision analysis while ranking risk requires a method of quantifying and then ranking the risk. Even basic 4-box techniques require thought and insight into their meaning and interpretation.

The methods and concepts needed to make these ideas definitive are discussed in detail.

This seminar is intended for people who want to insight into the issues involving risk, sensitivity, influence in decision making, operational and structural understanding for consolidations or privatisation and identifying patterns of performance. Some of the newer techniques such as influence diagrams, neural nets, decision trees with alternatives, semantic analysis, cybermetrics and various types of simulation are covered.

Many tools are available for the advanced techniques. Some of them are quite sophisticated. 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.

W: www.iirme.com/advdata

Certificate In Advanced Data Analysis 1 – 5 July 2012 • Radisson Royal Hotel, Dubai, UAE Course Timings: Registration will be at 07:30 on Day One. All four days will commence at 08:00 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.

Day One Understanding And Using Advanced Techniques For Improved Business Performance 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 Exercise – Simple Statistical Process Control Advanced Correlation And Regression Analysis • Correlation • Simple regression • Multivariate regression • Step by Step regression • Hierarchical regression • Logistic regressions – The 4-box technique Exercise – Using Regression, Correlation And 4-Box Analysis

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 Exercise – Simple Monte Carlo Simulation 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 Decision Trees • What is a decision tree?

• When do you use them?

• Setting up a tree – phrasing the questions • Adding the values to the tree • Drawing conclusions Exercise – Understanding Alternatives - Preparing A Decision Tree Decision Tables • Defining a decision table • Identifying conditions • Identifying alternatives • Creating the table • Drawing conclusion Exercise – Analysing A Decision Tree With A Decision Table

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

Applying Decisions Trees To Business Situations • Structuring a business problem • Example One - Choosing between locations for business • Maximising and minimising • Example Two - What alternative is the highest profit?

Least cost?

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

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 Exercise – Using The Influence Diagram For Profit Sensitivity Analysis

Exercise – Choosing A product Or A Service Strategy Final Question And Answer Session

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?

• 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

Day Five Core Semantic Analysis • What semantic analysis is and why we do it • Semantic models • Semantic nets • Simple analytics • Drawing conclusions Exercise – Semantic Comparisons - Consolidating Processes Cyber Metrics – A Quantitative View Of Semantics • Where did this come from?

• Qualitative analysis • Fuzzy rankings • Composite analysis of rankings • Drawing conclusions from fuzzy data Exercise – Creating A Composite Ranking Keyword Analysis • Purpose of keyword analysis • Using keyword results for taxonomies • Analysing words and phrases • Interpreting results • Semantic repositories and corporate language Demonstration – Simple Keyword Analysis

About Dubai Dubai in summer turns from a crowded metropolis to a quiet and serene getaway. Use your time in this luxurious holiday destination to de-stress, visiting world class restaurants and spas which offer huge discounts to visitors during the summer months. Or gain that long awaited family time you always crave by bringing them along to the many fun days being held in the malls. From skiing, feeding sharks and ice skating to an evening of golf, spa treatments and bargain hunting, Dubai offers everything you could possibly want during the summer months

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

Certificate In Advanced Data Analysis 1 – 5 July 2012 • Radisson Royal Hotel, Dubai, UAE FIVE WAYS TO REGISTER +971 4 335 2437 +971 4 335 2438

IIR Holdings Ltd. P.O Box 21743 Dubai, UAE

GCS/IIR Holdings Ltd. P.O Box 13977 Muharraq Kingdom of Bahrain

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www.iirme.com/advdata

DISCOUNTS AVAILABLE FOR 2 OR MORE PEOPLE CALL – +971 4 335 2483 E-MAIL – a.watts@iirme.com Event Certificate In Advanced Data Analysis

Date

Course Fee before 15 April 2012

Course Fee before 6 May 2012

Final Fee

1 – 5 July 2012

US$ 4,150

US$ 4,650

US$ 4,950

BC4361

Would you like to run this course in-house?

Course fees include documentation, luncheon and refreshments. Delegates who attend all sessions will receive an IIRME Certificate of Attendance.

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

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