Certificate In Essential Data Analysis Predictive Analytics For Business Decisions
26 – 30 January 2014 Jumeirah Emirates Towers Hotel,
Book and pay NOW and bring your colleague for FREE on this course
Dubai, UAE
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Top 5 Learning Objectives 1. Apply statistical techniques in a constructive problem solving manner to improve operational understanding 2. Illustrate the relationship between decisions, data and prediction 3. Interpret how data analysis and business performance are related through measures 4. Design methods that analyse operational performance 5. Define how uncertainty can be incorporated into decisions 6. Interpret social media data to understand market potential 7. Explain the risk versus yield option for credit policy Delegates are expected to bring laptops with Excel 2007 or later. Organised by:
www.iirme.com/data
About Your Expert Course Director
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.
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. 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.
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.
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.
Course Requirements And Certificates
He is the author of Enterprise Analysis, published by Prentice-Hall, and over 70 papers.
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.
Course Overview Predictive analytics is a method of projecting past performance and other data into the future to assess various business alternatives. Today predictive analytics includes more, it includes the methods that relate variables to a particular success initiative such as understanding what data drives percentages of sales, what factors predict success or failure of a credit risk and to what degree can a business meet thieir goals by looking at impact factors. Finding out the variables that are important to a result requires techniques of data analysis problem solving. Analysing and understanding enterprise past performance is key to predicting the prospects of various business alternatives. Acquisition, analysis, aggregation, presentation and interpretation of data are crucial to the effective predictive analytics. Whether the purpose is operational performance, enterprise performance, financial analysis, competitive or market analysis, strategic direction setting or data for outside decision making of partners and customers, the delivery of that data impacts the success of the a prediction. Understanding the basis and impact of decisions is crucial to improving enterprise performance.
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The in-house training division of IIR Middle East Tel: +971 4 407 2624 • Email: CTS@iirme.com www.iirme.com/cts
Methods needed to make these ideas practical are discussed in hands on exercises. Concepts such as measures development, statistical interpretations and factors of prediction or problem solving are discussed along with new techniques such as sensitivity analysis and text mining. This seminar is intended for people who want to put the ideas and concepts of predictive data analysis and interpretation into effective use in their enterprise. Data analysis demands a competent technological infrastructure for enablement. Delegates are expected to bring laptops with Excel 2007 or later.
T: +971 4 335 2437 F: +971 4 335 2438 E: register@iirme.com W: www.iirme.com/data
Certificate In Essential Data Analysis
26 – 30 January 2014 Jumeirah Emirates Towers Hotel, Dubai, UAE
Course Timings: Registration will be at 08:00 on Day One. Course sessions will start promptly at 08:30 and end at 14:30. There will be two short breaks for refreshments and lunch will be served at the end of each day’s sessions
Day One Statistical Techniques – The Core Of Predictive Analytics Predictive Analytics And Problem Solving In The Enterprise • Course objectives and structure • Problem analysis, alternatives and prediction • Predictive analytics – what are they? • About data analysis and problem solving • Business measures for performance • Basic data analysis concepts • Issues in business data quality and availability Useful Statistical Techniques For Problem Solving • Statistical thinking - applying statistical concepts • Using data effectively • Time series data • Frequency analysis • Populations and samples • Estimating and confidence intervals • Analysis of variance of one and two variables • Pattern analysis of data Looking For Relationships And Predicting Trends • Techniques for relating variables for insight • Understanding regression techniques • Interpreting regressions in the business • Understanding correlation techniques • Interpreting correlations for the business • Logistic regressions • Trend analysis
Day Two The Enterprise PerformanceView Enterprise Performance Management – Measuring The Business • Critical success factors • Performance indicators • The key indicators approach - KII, KRI, KPI • Dimensionless indicators • Vertical versus horizontal approaches such as business intelligence • Process performance • Looking for enterprise performance predictors Strategic Performance And Data Analysis • Strategies and performance • Models for measurement • Techniques of aggregating data • Strategy maps - Linking operational data with strategies • Impact analysis of operations on strategic performance • Competitive analysis Operational Performance – Looking Back At Results • Typical operational measures • Comparative analysis of results • Comparative analysis between operating units • Performance dashboards • Analysing process performance • Trending process performance
Day Three Analysing Alternatives – Essential Decision Making Decision Making Under Uncertainty – Analysing Alternatives • Uses of uncertainty analysis • Random variables
• • • • •
Discrete events Simulation Forecasting versus predicting Decision trees – paths of alternatives and predictions Optimisation
Testing For Sensitivity - Tornado Diagrams • What factors of results of do you focus on? • Methods of sensitivity analysis • What is at Tornado diagram? • Determining the sensitivity factors • Ranking sensitivity to create the diagram Data Mining – Looking For The Few Gems In The Pile • Finding patterns in data • Interpreting the results • Issues in data access quality • Presenting alternatives • Using neural nets for patterns and forecasting
Day Four Applied Data Analysis – Typical Uses Of Analysis Marketing Data Analysis – Competitors, Consumers And The Economy • Market share analysis • Consumer buying and affinity analysis • Competitive comparative analysis • Projections and forecasts • Profit impact of market share • Econometrics ideas Operational Data Analysis – Diagnosing Process Issues • Process versus workflow analysis • Statistics and performance • Quality - control charts and how to use them • Inventory analysis • The value of historical data for prediction Productivity Analysis And Problem Solving • Productivity of an organisation • Productivity in service organisations • Output measures of productivity • Throughput measures • Productivity and work measurement
Day Five Techniques Of Predictive Analytics Predictive Analytics And Social Media Data • Sources of social data • What is it used for? • Social data analysis • Types of analytics • GNIP Current Uses Of Analytics And Prediction • Credit scoring and risk prediction • Factors of credit worthiness • Fraud detection • Cross selling • Customer retention Predictive Text Analytics • What is predictive text analysis? • Where and why do you use it? • Getting the data • Categorising the results • Interpreting what you have
T: +971 4 335 2437 F: +971 4 335 2438 E: register@iirme.com W: www.iirme.com/data
Certificate In Essential Data Analysis
26 – 30 January 2014 Jumeirah Emirates Towers Hotel, Dubai, UAE
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/data
DISCOUNTS AVAILABLE FOR 2 OR MORE PEOPLE CALL – +971 4 335 2483 E-MAIL – a.watts@iirme.com Event
WEB BC5532
Course Fee Before 10 November 2013*
Course Fee Before 1 December 2013*
Final Fee*
US$ 4,395
US$ 4,895
US$ 5,195
Certificate In Essential Data Analysis 26 – 30 January 2014
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.
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