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    Event Profile
    Date Jun 25 - 26, 2018
    Time 9:00am to 5:00pm
    Venue Mandarin Orchard Singapore
    333 Orchard Road
    Singapore 238867
    Fee
    7% GST will apply
    SGD 860.00
    3 & above: SGD840.00 each
    For Member
    SGD 817
    3 & above: SGD798 each
    NoteBreakfast, two tea breaks and buffet lunch will be served; complimentary car parking coupon will be provided upon request
    Other Date(s)1) Sep 24 - 25, 2018
    2) Dec 10 - 11, 2018
    3) Mar 11 - 12, 2019
    Trainer
    Activity
    You may reach us via
    T: (65) 9879 6267
    E: info@ccisg.com
    To register via fax, fill in This Form and fax to (65) 6310 5430.
    In recent years, data analytics has gained significant buy-ins from senior management. However, many organizations find it challenging to get data analytics off the ground and on the right track due to a combination of technical, cultural and capabilities factors. One of the key factor is the lack of analytics skills among the employees. While organizations may hire specialists to to jump start its analytics journey or work in specific analytics projects, the potential of data analytics can only be sustained if the organization is able to build data analytics capabilities and culture throughout the organization. This workshop aims to address such capability gaps especially among professionals and managers in non-analysts roles but are required to work with or make sense of data and analyses in their daily works.

    Participants are required to bring their laptops with MS Excel (ver. 2010 or later)
    Objective
    By the end of this course, the participants would be able to:
    • Understand what data analytics is, and the different approached to data analytics for different problem-solving situations
    • Develop analysis framework through problem definition, hypotheses development and identification of data requirement
    • Understand the principles to building sustainable analytics culture in an organization
    • Gain exposure to various data analytics and visualization techniques and tools
    • Gain practical data analysis skills through descriptive and predictive analysis exercises with MS Excel
    Outline
    1. Understanding Data Analytics, Big Data & Artificial Intelligence
    • A general introduction of the concept of analytics, including the general utilities and potential of analytics to inform, explain and guide decision making.
    • Introduction to Big Data and Artificial Intelligence; types & examples of machine learning


    2. Practicing and Sustaining Data Analytics at Work
    • Data Analytics Value Chain & Components
      * What does it take to progress along the maturity curve?
      * Recipe for Successful Data Analytics
    • Building Analytics Culture (60min)
      * Leadership for Analytics
      * Data analytics competency framework
      * Organization design
      * Data Analytics Maturity Model
      * Class survey
    • Group Exercise: Fill in the success recipe book


    3. Translating Data into Insights
    • Understand Your Problems
      * Complexity theory and Cynefin Framework
      * Group exercise: Making sense of your problems
    • Building an Analysis Framework
      * 6-step framework from problem to data, insights and decision
      * Group exercise: Building an Analysis Framework
    • Analytics Techniques to Connect-the-Dots
    • Statistical Analysis Concepts for Business Users
      * Common analysis techniques, including trends analysis, regression analysis, survival analysis etc.
    • Class Exercise: MS Excel Analysis (pivot table, descriptive, correlation, multiple regression)
    • Data Visualization and Storytelling
    • Principles of Storytelling with data
    • Data Visualization tools & techniques
    • Demo of Visualization platforms
    • Class Exercise: Build Your Own Dashboard (MS Excel)


    4. Bringing all together: Capstone Business Case Exercise
    • The participants will work on a capstone business case exercise with the concepts and techniques they have acquired in this course
    • The final presentation, which should include the following: Problem statement, summary of findings (each supported by facts & analysis), and recommendations
    • Group Presentation & Discussion
    Who should attend
    This workshop is designed for managers, professionals and staff at all levels who want to learn and improve their understanding and skills in data analytics, particularly in applying analytics to problem solving. The course is suitable for participants across all industries and job functions. Participants are required to have basic MS Excel skills; no prior knowledge of data analytics required.
    Methodology
    We take a practical approach to analytics, and therefore the workshop emphasizes practical analytic skills through learning of key principles and analytics skills. A combination of lectures, discussions and interactions, as well as hands on exercises are designed to enable participants to acquire those practical skills. This workshop utilises MS Excel for the computer-based exercises.
    Awie Foong's Profile
    Dr. Awie Foong is the co-founder and principal for a local Consulting company with extensive experience in analytics and consulting with top management consulting firms and multinational corporation in areas of strategic planning, people risk management and board governance for both government and business organizations.

    He previously led the formation and establishment of the People Analytics Centre of Excellence (COE) for a multinational healthcare company with US$ 30 Billion revenue. Prior to that, he led the People Risk Consulting Practice for a global management consulting firm.

    Awie is an associate at the Civil Service College, Singapore National Employers Federation, and HR Academy where he develops and delivers data analytics and decision-making programs. He has spoken in various events and conferences; and have guest-lectured in National University of Singapore, NTUC Learning Hub and various corporations.

    Awie obtained his PhD in Organization Behaviour and Knowledge Management from NUS. He holds a First Class (Hons) degree in Mechanical Engineering; and is a subject-matter-expert in the field of labour and socio-economics.
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