Effective Business Decisions using Data Analysis

Transcription

1 ISO 9001:2008 Certified ISO 29990:2010 Certified (Certificate No: ) ISO (Certificate No: ) Effective Business Decisions using Data Analysis May 2016, Doha - Qatar The PMI Registered Education Provider logo is a registered mark of the Project Management Institute, Inc.

2 Effective Business Decisions November 2016, Kuala Lumpur using Data Fees: US$ 5,500/- Analysis Introduction This interactive, applications-driven 5-day course will highlight the added value that data analytics can offer a professional as a decision support tool in management decision making. It will show the use of data analytics to support strategic initiatives; to inform on policy information; and to direct operational decision making. The course will emphasize applications of data analytics in management practice; focus on the valid interpretation of data analytics findings; and create a clearer understanding of how to integrate quantitative reasoning into management decision making. Exposure to the discipline of data analytics will ultimately promote greater confidence in the use of evidence-based information to support management decision making. This course will feature: Discussions on applications of data analytics in management The importance of data in data analytics Applying data analytical methods through worked examples Focusing on management interpretation of statistical evidence How to integrate statistical thinking into the work domain Objectives By the end of this course, participants will be able to: Appreciate data analytics in a decision support role Explain the scope and structure of data analytics Apply a cross-section of useful data analytics Interpret meaningfully and critically assess statistical evidence Identify relevant applications of data analytics in practice Training Methodology This course will utilize a variety of proven adult learning techniques to ensure maximum understanding, comprehension and retention of the information presented. The daily workshops will be highly interactive and participative. This involves regular discussion of applications as well as hands-on exposure to data analytics techniques using Microsoft Excel. Delegates are strongly encouraged to bring and analyze data from their own work domain. This adds greater relevancy to the content. Emphasis is also placed on the valid interpretation of statistical evidence in a management context. Who Should Attend? This course is suitable to a wide range of professionals but will greatly benefit: Professionals in management support roles Analysts who typically encounter data / analytical information regularly in their work environment Those who seek to derive greater decision making value from data analytics

3 SEMINAR OUTLINE Setting the Statistical Scene in Management develop quantitative reasoning skills to support evidencebased decision making. Appreciate the role of data analytics in management decision making Understand the scope and structure of data analytics Understand the importance of data quality and data integrity Develop a practical ability to prepare data for statistical analysis Be able to interpret summary tables and graphs to extract key information Introduction: The quantitative landscape in management Thinking statistically about applications in management (identifying KPIs) The integrative elements of data analytics Data: The raw material of data analytics (types, quality and data preparation) Exploratory data analysis using excel (pivot tables) Using summary tables and visual displays to profile sample data Evidence-based Observational Decision Making Competency Description: As a manager you need to interpret summarized numerical sample evidence to support management decision making. Numeric descriptors to profile numeric sample data Central and non-central location measures Quantifying dispersion in sample data Examine the distribution of numeric measures (skewness and bimodal) Exploring relationships between numeric descriptors Breakdown analysis of numeric measures Statistical Decision Making - Drawing Inferences from Sample Data distinguish between chance and genuine occurrences or relationships in practice based on sample evidence. Appreciate the fundamental concepts to infer sample evidence to business practice Understand how to manage (measure and interpret) business uncertainty Prepare and interpret confidence interval estimates of key performance measures The foundations of statistical inference Quantifying uncertainty in data the normal probability distribution The importance of sampling in inferential analysis Sampling methods (random-based sampling techniques) Understanding the sampling distribution concept Confidence interval estimation Be able to interpret numeric sample descriptive measures to profile sample evidence Distinguish between different central location measures Understand how to quantify and interpret variability in data Recognise data outliers and their impact on data validity Identify influencing factors on key measures performance

4 21-25 November 2016, Kuala Lumpur SEMINAR OUTLINE Fees: US$ 5,500/- Statistical Decision Making - Drawing Inferences from Hypotheses Testing demonstrate an ability to base management decisions on rigorously tested sample evidence. Be able to formulate management questions as testable statistical hypotheses Understand the principle and methodology of testing statistical hypotheses Be able to interpret statistical hypotheses conclusions in a management context Choose the appropriate hypotheses test for on a given management scenario The rationale of hypotheses testing The hypothesis testing process and types of errors Single population tests (tests for a single mean) Two independent population tests of means Matched pairs test scenarios Comparing means across multiple populations Predictive Decision Making - Statistical Modeling and Data Mining prepare forecasts or future estimates of key performance measures based on identified influencing factors. Understand the model-building environment Be able to identify significant influencing factors on a key performance measure Interpret the relative importance of each significant factor on the key performance measure Prepare future estimates / forecasts based on the identified relationships Appreciate the strategic value of mining large data sets of business activities Distinguish between goal-directed data mining and descriptive data mining Exploiting statistical relationships to build predictionbased models Model building using regression analysis Model building process the rationale and evaluation of regression models Data mining overview its evolution Descriptive data mining applications in management Predictive (goal-directed) data mining management applications

5 Effective Business Decisions using Data Analysis May 2016 Doha - Qatar Course Fees - USD 4,950/ ( per delegate ) REGISTRATION DETAILS DELEGATE NAME: DESIGNATION: COMPANY: ADDRESS: CITY: COUNTRY: TELEPHONE: MOBILE: FAX: AUTHORISATION DETAILS AUTHORISED BY: DESIGNATION: COMPANY: ADDRESS: CITY: COUNTRY: TELEPHONE: MOBILE: FAX: PAYMENT DETAILS Please invoice my company Please invoice me Cheque payable to GLOMACS CERTIFICATION Successful participants will receive GLOMACS Certificate of Completion 4 WAYS TO REGISTER À +971 (04) (04) Á info@glomacs.ae < TERMS AND CONDITIONS Fees Each fee is inclusive of Documentation, Lunch and refreshments served during the entire seminar. Mode of Payment The delegate has the option to pay the course fee directly or request to send an invoice to his/her company/sponsor. Credit card and cheque payments are both acceptable. Cancellation / Substitution Request for seminar cancellation must be made in writing & received three (3) weeks prior to the seminar date. A US$ processing fee will be charged per delegate for each cancellation. Thereafter, we regret that we are unable to refund any fees due, although in such cases we would be happy to welcome a colleague who would substitute for you. Hotel Accommodation is not included in the course fee. A reduced corporate rate and a limited number of rooms may be available for attendees wishing to stay at the hotel venue. Requests for hotel reservations should be made at least three (3) weeks prior to the commencement of the programme. All hotel accommodation is strictly subject to availability and terms and conditions imposed by the hotel will apply. Attendance Certificate a certificate of attendance will only be awarded to those delegates who successfully completed/attended the entire seminar including the awarding of applicable Continuing Professional Education Units/Hours. Force Majeure any circumstances beyond the control of the Company may necessitate postponement, change of seminar venue or substitution of assigned Instructor. The Company reserves the right to exercise this clause and implement such amendments. Fair Access / Equal Opportunities In the provision of its services as a world-class Training Provider, the Company is committed to provide fair access / equal opportunities throughout the delivery of its courses and assessment leading to the completion of training seminars, or 3rd party qualifications/certifications. P.O. Box Dubai, U.A.E. T: +971 (04) F: +971 (04) E: info@glomacs.ae W: