TCP-DML
Data Mastery for Leaders From Data to Decision
The course focuses on building the mindset and core competencies in data-driven decision making that apply directly to Sales, Trade Marketing and Marketing – key areas that determine growth.
- Target learner: Managers
- 99% of reviews like the course
- 4.8
- level of trust
Data does not create results by itself, only managers who know how to exploit data properly can create different results.
Data analysis is no longer a supplementary skill. It is a core competency of modern management.
Applied Learning in Data Science for Decision Making helps you not only understand the tools, but also build strategic analytical thinking – from business questions to action plans. This program is designed for those who want to make faster and more accurate decisions in complex environments.
Value From the Course
This course is for
- C-level, Directors, and Business Unit Heads with over 10 years of experience.
- Strategy & Operations Leaders.
- Business Owners and Founders.
- Professionals without a data background who need to:
- Make strategic decisions based on data.
- Critically evaluate reports.
- Communicate effectively with BI/Data teams.
- Persuade stakeholders with clear data and evidence.
Learning outcomes
- Ask the right questions to uncover strategic insights.
- Read and critique dashboards from a leadership perspective.
- Distinguish between quality data and noise, avoiding the trap of "vanity metrics."
- Communicate effectively with BI/Data teams to co-create value.
- Make data-informed decisions, moving beyond mere intuition.
- Master context to apply data correctly in every strategic situation.
- Persuade and defend viewpoints with high-impact data evidence.
Program Content
Day 1
Module 1 | Power of Data in Business
- Understand the power of data
- Basic knowledge of data analysis and how to apply data to solve business problems
- Key technologies in business insight mining
- Predictive modeling and how to identify business opportunities
- Discuss
- Reflection: learners share their use of data in decision-making – missed opportunities or successes thanks to data
- Team sharing: The way of data that is currently being used in your role or department. When data works – and when it doesn't
Module 2 | From Traditional Decision Making to Data-Driven Decision Making
- Compare intuition-based decisions with data-driven decisions
- Compare intuition-based decisions with data-driven decisions
- Identify biases in decision-making
- Explore the benefits of evidence-based practices
- Analyze how organizations transition to a “data-first” culture
- Discuss
- Situation analysis: traditional vs. data-driven scenarios. How would you decide with and without data?
- Group discussion on decision quality and risk
Case Study Practice – Part 1
- Case Study 1:
- Analysis group situation based on real-life business data
- Specify problems, analyze data, propose and justify solutions
- Identify key insights and develop recommendations
- Introduce support tools in the case-making process
- Group presentation
- Present solutions to other groups/assumed stakeholders
- Discuss in group and feedback from instructor
Day 2
Module 3 | Data-Driven Decision Making
- Steps in the data-driven decision-making process
- Work
- Mini case practice: Use a dataset to go through the entire process from data to decision.
Module 4 | Storytelling with Data & Standard Storytelling Models in Business
- Telling stories with data
- What is data storytelling?
- Elements of data storytelling
- What it takes to create a “data story”
- How to find out the story in data
- Thinking beyond storytelling
- Standard storytelling model in business
- The role of context
- Choice of effective visual images
- Attraction of the audience's attention
- Thinking as a designer
- Lessons in storytelling
- Synthesis and application
- Practice – Peer Feedback
- Exercise: Make raw insight become a compelling story
- Feedback from colleagues on clarity and persuasiveness
- Convert insights into compelling presentations
- Group comments & editing
Case Study Practice – Part 2 & Impact Assessment
- Case Study 2 + Impact Assessment
- Advanced cases (increased complexity or new context)
- Evaluate results from previous recommendations (e.g., what worked, what didn't)
- Go back and evaluate a previous recommendation based on new results
- Introduce more tools in the case-making process
- Summary – Reflection – Application
- Key lessons from two case studies
- Make action plan: How will you apply it to your work? What worked and why?
- Personal action plan: Integrate data into your decision-making process
- Introduce support tools in the case-making process
UPWARDS™ Application in Data Mastery for Leaders – From Data to Decision
| UPWARDS™ Phase | Applications in the Program | Expected Results |
| U – Understand Purpose | Learners identify the reason they need to make decisions based on data rather than on feelings, the role of data in modern management capabilities. | Realize that data is a core competency and competitive advantage in business. |
| P – Probe Reality | Assess the current situation: How is the organization using data? Which decision is still based on experience/gut feeling? Strengths – limitations of yourself and your team in using data. | Get a clear picture of current decision-making practices, thereby identify gaps for improvement. |
| W – Work with Knowledge | Equipped with basic knowledge of Business Analytics, strategic analytical thinking, framework for questions making – data exploiting – data turning into insight. | Get modern tools, frameworks, and knowledge to guide data-driven decisions. |
| A – Act in Context | Practice on FMCG case studies & real-life situations: from report to decision, from analysis to action plan. Apply immediately to the learner’s field (sales, marketing, trade, finance, operations). | To be capable of acting faster and more accurately, which is based on data-driven insights in complex environments. |
| R – Reflect & Refine | Reflect and adjust: compare gut and data-driven decisions, learn from mistakes & strengths and draw lessons for individuals and organizations. | Develop critical thinking and the ability to adjust decision-making strategies. |
| D – Define Strength | Identify persoanl strengths: at the Manager level (analytical thinking, performance optimization, opportunity detection), at the Executive level (strategic decision making, resource allocation, team leadership). | Shape a data-driven management style that fits your manager or executive role. |
| S – Sustain the Shift | Build systems and habits: management dashboards, data-driven decision process, team coaching to maintain a data culture. | Sustainable transformation: data-driven decision making, habits forming in the organization. |
Mr. Tran Hung Thien
Trainer
- Over 20 years of experience in business leadership & market research
- Founder & CEO of GCOMM – Vietnam's leading market research and strategy consulting company
- Former Deputy Director of Nielsen Vietnam
- Author of books on Leadership, Management & Business Analysis, with 10,000+ copies distributed nationwide
- Coaching expert & strategic consultant, pioneer in applying data analytics in business management and growth
You are ready for
Data Mastery for Leaders
From Data to Decision
Data Mastery for Leaders
From Data to Decision
TCP-DML
Time
April
2026
Trainer
Trần Hùng Thiện
- Time: April 2026 (Tentative)
- Location: 6th Floor, 5 Truong Quoc Dung, Phu Nhuan Ward, HCMC
- Quantity: 20-40
- Target learner: Managers
List Price
5,9 million
/learner
Start after
Day
Hour
Minute
Second
- Early bird: 10% discount for the first 10 learners to register
- Refund/exchange/return policy:
- Learners can transfer their seats to others.
- If notice is given at least 48 hours before admission time, tuition fee can be held for 3 months.
Registration Form
FAQs
1. If I register but I can not attend, is there a refund policy?
- Talent Connect Plus offers support on a case-by-case basis:
- Learners may transfer their seat to someone else.
- If notice is given at least 48 hours before admission time, tuition fee can be reserved for up to 3 months.
2. What does the tuition fee include?
- The tuition fee includes:
- A full training program as the published schedule.
- Learning materials and practice exercises.
- Tea-break throughout the course.
3. Do I need to prepare any prior knowledge or materials?
- No prior specialized knowledge is required. Learners only need to bring an open mind and a willingness to engage in the experience. All learning materials and course content will be provided during the program.
4. Will I receive a certificate upon completion?
- Yes. Learners will receive a Certificate of Completion issued by Talent Connect Plus.
5. Will learners have access to materials or an alumni community after the course?
- Yes. Learners will keep all course materials and exercises used during the program. Additionally, Talent Connect Plus encourages learners to join the alumni community to share experiences, continue learning and network after the course.
6. Are there group registration discounts?
- Yes. Talent Connect Plus offers special discounts for group registrations of 5 or more learners. Please contact our course advisor via hotline: 0968043078 for more details.
7. Can I attend only a part of the course, or do I need to attend the full program?
- To ensure effectiveness, learners are recommended to attend the entire program. In case of unavoidable circumstances, the organizational team will provide maximum support so that learners do not miss important content.
