Mastering Data Visualization and Storytelling: Turning Analytics into Engaging Stories For Effective Data Driven Decision Making

19-20 Dec, 2024, CONCORDE HOTEL KUALA LUMPUR

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Learn from the Best

DR ANGELINE ANN SAMUEL
PHD in Behavioural Economics NUS
Bachelor of Software Engineering (Hons), University of Staffordshire
CEO & Founder Of A TECH
Certified Ethical Hacker (CEH)
Computer Hacking Forensic Investigator (CHFI)


 

Dr Angeline is an experienced specialist in Professional Development and Digital Marketing. She has been
spearheading a global development company, primarily the management consulting wing specializing in providing world class professional development, human capital development and social media marketing solutions. She was involved with ensuring progressive growth of the business through management of its Advisory functions. Currently she is the CEO of a digital marketing firm in Malaysia.

 

Her everyday role entails: strategic planning, managing and leading teams in diverse roles, sales/ marketing/
advisory/ operations management, digital marketing, market expansion strategies, business development initiatives, competitive & market intelligence, determining pricing strategies and control and monitoring of budget/spend of products under the portfolio.

 

Her unique interpretation of online business allows her to travel the globe as a speaker, trainer and consultant,
working with multiple organisations.

 

Her Client’s include :
• SIRIM , Malaysia
• MATA , Malaysia
• Palace of the Golden Horses, Malaysia
• Royal Chulan, Malaysia
• Bank Islam, Malaysia
• B Braun Malaysia
• Total Worx Asia
• Lafarge Cement
• PETRONAS Malaysia
• Dragon Oil Dubai
• Halliburton
• Zimbabwe Power Corporation
• Canon
• National Bank Of Malawi
• PNG Ports Corporation Limited
• Qatar Petroleum Company
• Qatar Petrochemical Company (QAPCO)
• The Tanzania Institute Of Bankers
• Alinta Energy Sydney, Australia
• Celestica Malaysia Sdn Bhd
• Mozambique Airlines (LAM)
• Base Titanium, Zambia
• Arabian Pipes Co, Saudi Arabia

• Al Abdullatif Manufacturing & Investment Co, Saudi Arabia
• Saudi Aramco, , Saudi Arabia
• PNG Ports Corporation Limited
• Vanuatu National Provident Fund
• La’ala Al Kuwait Real Estate Establishment, Kuwait
• Hikma Pharmaceuticals, Jordon
• Jordan Bromine Company Limited
• Al Samer JCI Controls, Saudi Arabia
• Tanga Cement, Tanzania
• Arab Potash Company, Jordan
• Base Titanium, Kenya
• Egyptian Banking Institute
• First Gulf Bank, Abu Dhabi
• Saudi International Trading Company Limited
• Mopani Copper Mines PLC
• Prysmian Cables

 

Venue Details

CONCORDE HOTEL KUALA LUMPUR
2 Jalan Sultan Ismail, 50250, Kuala Lumpur, Malaysia,
Phone : +603 2144 2200

https://kualalumpur.concorde hotelsresorts.com/

Contact us

Juliany,
03 2283 6109
juliany@ipa.com.my

Phoebe,
03 2283 6100
phoebe@ipa.com.my 

FOR CUSTOMISED IN-HOUSE TRAINING
Jane,
03 2283 6101
Jane@ipa.com.my

ADDRESS 
A-28-5, 28th Floor, Menara UOA Bangsar, 
No.5, Jalan Bangsar Utama 1, 
59000 Kuala Lumpur
www.ipa.com.my

FOCUSING ON
  • Module 1: How To Make Effective Data-Driven Decision
  • Module 2: How To Turn Data To Stories
  • Module 3: The Three Levels Of Analytics
  • Module 4: Understanding Behavioural Science
  • Module 5: Report Writing With Data
  • Module 6: Maximizing Data Thru Behavioural Economics
  • Module 7: Understanding Analytics - People As Consumers
OBJECTIVES

This comprehensive training course is designed to equip participants with the essential skills and knowledge to make effective, data-driven decisions that align with business objectives.

Across seven detailed modules, attendees will delve into identifying key performance indicators, collecting and preparing data, and employing visual analytics to explore and draw critical insights.

The course emphasizes the power of data storytelling and the practical application of behavioural economics to understand consumer behaviour deeply.

Additionally, it covers various levels of analytics—descriptive, predictive, and prescriptive—to provide a well-rounded perspective on data usage in decision-making. By integrating behavioural science and advanced report writing techniques, this course ensures you don’t only, interpret but also effectively communicate data insights to enhance business strategies and outcomes.

LEARNING OUTCOME
  1. Identify Business Objectives and KPIs: You will learn how to clarify your organization’s goals and select relevant key performance indicators (KPIs) to ensure data analysis is aligned with business objectives.
  2. Data Collection and Preparation Skills: You will gain skills in identifying high-impact, low-complexity data sources, ensuring data quality, and preparing data for analysis to support decision-making.
  3. Data Exploration and Visualization Techniques: You will be able to explore and visualize data using intuitive visual analytics, fostering an environment
    where critical questions are asked and answered through data.
  4. Critical Thinking with Data: You will develop critical thinking skills to derive meaningful insights from data and communicate these effectively to influence decision-making processes.
  5. Data Storytelling Capabilities: You will acquire techniques in data storytelling, learning how to plan, storyboard, and present data-driven stories that effectively communicate insights and influence stakeholders.
  6. Understanding Different Levels of Analytics: You will understand and differentiate between
    descriptive, predictive, and prescriptive analytics, and apply each type to support varied business
    needs.
  7. Application of Behavioural Science in Business:
    You will explore how emotional and psychological factors influence consumer decision-making and
    learn how to apply these insights to enhance
    product and service design.
  8. Effective Data Report Writing: You will master
    the art of crafting data reports that are visually appealing, sharply written, and tailored to your
    target audience, enhancing communication and
    impact.
  9. Behavioural Economics in Practice: You
    will understand and apply principles of
    behavioural economics such as social proof, loss aversion, and anchoring, to better predict
    consumer behaviour and refine business strategies.
  10. Consumer Analytics Understanding: You will develop a comprehensive understanding of
    consumer demographics, behaviours, and
    purchasing patterns, enabling more targeted
    and effective marketing strategies.

WHO SHOULD ATTEND
  • General Managers
  • Head of Sales
  • Head of Customer Service
  • Marketing Managers
  • Sales Managers
  • Call Centre Managers
  • Sales Consultants
  • Account Managers
  • Channel Managers
  • Customer Service Managers
  • Customer Service & Sales Executives
METHODOLOGY
  • Quizzes
  • Small Group Discussions
  • Case Studies
  • Active Summaries
  • Q & A Sessions
  • Demonstrations
DAY 1
 

MODULE 1: HOW TO MAKE EFFECTIVE DATA- DRIVEN DECISION

9:00

Step 1 – Identify Business Objectives To Determine Which Date To Analyse:
• Organization’s Goals
• Choose Key Performance Indicators (KPIs) And Metrics
• Questions To Ask So Your Analysis Supports Key Business Objectives

Step 2 - Survey Business Teams For Key Sources Of Data:
• Short-Term And Long-Term Goals

Step 3 - Collect And Prepare The Data You Need:
• Accessing Quality, Trusted Data
• High Impact & Low Complexity Data Sources

Step 4 - View And Explore Data

Step 5 - Develop Insights Through Critical Thinking:
• Intuitive Approach Of Visual Analytics – Ask & Answer Questions Of Your Data
• Develop Critical Thinking With Data
• Finding Insights And Communicating Them In A Useful, Engaging Way
• Discover Opportunities Or Risks That Impact Success Or Problem-Solving.

Step 6 - Act On And Share Your Insights For Collaboration:
• Highlight Key Insights By Using Informative Text And Interactive Visualizations For Collaborative Decision Making
• Using Insights Take More-Informed Actions In Daily Work.


12.00

MODULE 2: HOW TO TURN DATA TO STORIES

  • Techniques Of Data Storytelling
  • Story Planning And Storyboarding For The Data
  • Identify Storytelling Context And Objectives
  • Identify Linkages Between Data And Visuals
  • Present And Review Stories
1:00 Lunch
2:00

MODULE 3: THE THREE LEVELS OF ANALYTICS

  • Descriptive Analysis – What Happened In The Past?
  • Predictive Analysis – What Will/ Could Happen?
  • Prescriptive Analysis -What Should We Do?
3:45

MODULE 4: UNDERSTANDING BEHAVIOURAL SCIENCE

  • Study Of The Emotional And Psychological Influences On Decision Making.
  • User-Oriented, Outcome-Driven Mindset
  • Design Products And Services That Create More Value For Your Customers
  • Facilitate Rapid Cycles Of Idea Generation
5:00 End of Day 1
DAY 2
9:00

MODULE 5: REPORT WRITING WITH DATA

  • Define The Type Of Your Data Report
  • Know Your Target Audience
  • Be Visually Stunning
  • Have Content Sharply Written
  • Keep It Simple And Don’t Be Misleading
10.45

MODULE 6: MAXIMIZING DATA THRU BEHAVIOURAL ECONOMICS

Combine & Economics To Explore Why People Make Choices & Decisions Social Proof
• Loss Aversion
• Endowment Effect
• Choice Overload
• Framing
• Decoy Effect
• Anchoring

1:00 Lunch
2:00

MODULE 7: UNDERSTANDING ANALYTICS - PEOPLE AS CONSUMERS

  • Understanding Demographics- Attitude, Beliefs, Behaviour, Buying Pattern, Lifestyle
  • Types Of Customers: Loyal, Discount, Needs Based, Wandering, Impulse
  • Economic, Personal, Apathetic Shoppers
  • Understanding Reward Options: Rational, Sensory, Social, Ego Satisfaction
5:00 End of Course