Data Science for Leader (Driving Strategic Decision Making Through Data, Analytics & Artificial Intelligence)

Durasi : 09.00 – 16.00 WIB

Deskripsi Pelatihan

Pelatihan ini dirancang untuk para pimpinan, manager, supervisor, dan decision maker yang ingin memahami bagaimana Data Science, Business Analytics, Artificial Intelligence (AI), dan Generative AI dapat digunakan untuk mendukung pengambilan keputusan strategis perusahaan. Program ini tidak berfokus pada coding teknis yang kompleks, melainkan pada kemampuan leadership dalam membaca insight data, memahami dashboard & analytics, mengelola proyek data, serta membangun budaya kerja berbasis data (data-driven organization). Materi mengacu pada perkembangan terbaru dunia bisnis dan executive education global terkait Data Science, AI, Machine Learning, Big Data, serta governance & ethics dalam implementasi AI di perusahaan. 

Tujuan & Manfaat Pelatihan

Setelah mengikuti pelatihan ini, peserta diharapkan mampu:

• Memahami konsep dasar Data Science dan AI untuk kebutuhan bisnis
• Menggunakan pendekatan data-driven decision making
• Membaca dan menginterpretasikan dashboard, analytics, dan KPI
• Memahami peluang bisnis dari Big Data & AI
• Mengidentifikasi use case AI dan analytics di perusahaan
• Mengelola proyek Data Science secara strategis
• Berkolaborasi efektif dengan tim IT, Data Analyst, dan Data Scientist
• Memahami risiko, governance, keamanan data, dan etika AI
• Menyusun roadmap transformasi digital berbasis data

Siapa yang disarankan untuk mengikuti Pelatihan ini ?

• Direktur
• General Manager
• Senior Manager
• Head of Department
• Business Leader
• Strategic Planning Manager
• Operation Manager
• HR Manager
• Marketing Manager
• Finance Manager
• Digital Transformation Team
• Business Analyst
• Project Manager
• Non-Technical Executive yang ingin memahami Data Science & AI

MATERI PELATIHAN 

1. Executive Mindset in the Era of Data & AI

• Transformasi bisnis berbasis data
• Peran data dalam competitive advantage
• Data-driven leadership
• Future trends: AI, Generative AI & automation
• Case study perusahaan global berbasis data

2. Fundamental of Data Science for Business Leaders

• Pengertian Data Science
• Big Data vs Business Intelligence vs AI
• Data lifecycle
• Structured & unstructured data
• Machine Learning overview
• Predictive vs prescriptive analytics
• Data ecosystem dalam organisasi

3. Understanding Business Analytics

• Descriptive analytics
• Diagnostic analytics
• Predictive analytics
• Prescriptive analytics
• KPI & business metrics
• Business intelligence framework
• Data storytelling for executives

4. Reading Dashboard & Executive Reporting

• Cara membaca dashboard secara efektif
• Executive visualization techniques
• Identifikasi trend & anomaly
• Decision making using dashboard
• Common mistakes in interpreting data
• Hands-on dashboard interpretation

5. Data-Driven Decision Making

• Evidence-based management
• Strategic decision using analytics
• Risk-based decision making
• Data vs intuition
• Framework pengambilan keputusan berbasis data
• Executive simulation exercise

6. Building Data Culture in Organization

• Data maturity model
• Membangun budaya data-driven
• Change management
• Cross-functional collaboration
• Leadership role in digital transformation
• Overcoming resistance to analytics

7. Artificial Intelligence & Machine Learning for Leaders

• Fundamental AI & Machine Learning
• Supervised & unsupervised learning
• NLP (Natural Language Processing)
• Generative AI & LLM
• AI business applications
• AI opportunities & limitations

8. Generative AI for Business Transformation

• Introduction to Generative AI
• ChatGPT & enterprise AI
• AI productivity tools
• AI for operations, HR, finance & marketing
• Prompt engineering for executives
• AI adoption strategy

9. Data Governance, Security & AI Ethics

• Data governance framework
• Data privacy & compliance
• AI ethics
• Responsible AI
• Cybersecurity awareness
• Risk management in AI projects
• Regulatory overview

10. Managing Data Science Projects

• Business problem identification
• Data project lifecycle
• Agile analytics project
• Stakeholder management
• Budgeting analytics initiative
• Measuring ROI of data projects
• Vendor & technology evaluation

11. Strategic Use Cases of Data Science

Marketing Analytics

• Customer segmentation
• Customer behavior analytics
• Predictive marketing

HR Analytics

• Employee performance analytics
• Workforce planning
• Talent analytics

Financial Analytics

• Cost optimization
• Forecasting
• Fraud detection

Operational Analytics

• Supply chain analytics
• Predictive maintenance
• Productivity improvement

12. Creating Data & AI Roadmap

• Data strategy alignment
• AI transformation roadmap
• Digital capability assessment
• Prioritizing analytics initiatives
• Building analytics team structure
• Executive action plan

PRACTICAL SESSION & CASE STUDY

Peserta akan melakukan:

• Analisis dashboard bisnis
• Identifikasi peluang AI di perusahaan
• Studi kasus implementasi analytics
• Simulasi strategic decision making
• Penyusunan roadmap data-driven organization

OUTPUT PELATIHAN

Peserta akan memperoleh:

• Executive framework Data Science
• Template data-driven decision making
• AI implementation roadmap
• Dashboard interpretation guide
• Business analytics framework
• Strategic action plan

BENEFIT BAGI PERUSAHAAN

Setelah pelatihan, perusahaan diharapkan memperoleh manfaat:

• Memahami Data Science tanpa harus menjadi programmer
• Mempercepat pengambilan keputusan strategis
• Memahami implementasi AI di perusahaan
• Meningkatkan kemampuan membaca insight bisnis
• Meminimalkan keputusan berbasis asumsi
• Meningkatkan daya saing organisasi

Metode Pelatihan

Kegiatan pelatihan dirancang agar peserta dapat memahami secara komprehensif materi yang disampaikan, sehingga dapat dimplementasikan secara aplikatif dalam dunia kerja. Adapun metode yang digunakan adalah:

• Pre and Post Test
• Interactive Presentation
• Executive Discussion
• Business Case Study
• Group Discussion
• Video Learning
• Dashboard Interpretation Exercise
• AI & Analytics Simulation
• Practical Framework
• Strategic Workshop
• Evaluasi Training

Trainer : Spectracentre Trainer Team