Business analysis and data-driven decision making

Business analytics is increasingly becoming central to strategic and operational decision-making in organizations. As...
  • 77 students

Resumen

Business analytics is increasingly becoming central to strategic and operational decision-making in organizations. As companies collect large volumes of data from operations, markets, and digital platforms, the ability to interpret this data responsibly and effectively has become a key management competency. In Spain and throughout the European Union, analytics initiatives must also align with legal and regulatory frameworks governing data use and automated decision-making.

This course provides a structured introduction to business analytics and data-driven decision-making in modern organizations. It explains how data can inform strategy, improve operational performance, and support evidence-based management decisions. Participants will explore analytics applications in finance, operations, marketing, and risk management.

The course also addresses governance aspects such as data protection, algorithmic accountability, and the ethical use of analytical technologies. By the end of the course, participants will understand how organizations can use analytical tools and frameworks to support strategic decisions while maintaining responsible governance and regulatory compliance.

Resultados del aprendizaje

Después de completar este curso, los participantes podrán:

  • Comprender el papel de la analítica empresarial en la toma de decisiones estratégicas y operativas.
  • Explicar los marcos regulatorios y de gobernanza que afectan el uso de datos en España y la UE.
  • Reconocer cómo la analítica apoya los cuadros de mando ejecutivos, los KPI y el monitoreo del rendimiento.
  • Identificar aplicaciones de analítica en operaciones, gestión de la fuerza laboral y optimización de la cadena de suministro.
  • Comprender los métodos de analítica de clientes, mercado e ingresos utilizados en organizaciones modernas.
  • Reconocer cómo el aprendizaje automático y la automatización apoyan los procesos de toma de decisiones gerenciales.
  • Comprender las consideraciones éticas, los riesgos de sesgo y las responsabilidades de gobernanza en los sistemas analíticos.

Requisitos

This course does not require advanced technical knowledge, unless specifically stated in the syllabus. A general interest in business strategy, data analysis, decision making, or digital transformation is sufficient to follow the course.

Este curso incluye

  • 6 detailed learning modules covering business analytics, AI governance, strategic decision-making, and Spanish/EU compliance requirements.
  • Practical executive decision frameworks for strategy, operations, finance, workforce, customer, revenue, and risk decisions.
  • Guidance on GDPR, LOPDGDD, worker digital rights, AI Act readiness, data spaces, and responsible analytics governance.
  • Templates for KPI design, dashboard planning, analytics governance review, model risk assessment, and decision audit documentation.
  • Scenario-based examples covering executive dashboards, workforce analytics, pricing analytics, predictive operations, and AI-assisted decisions.
  • Final assessment and certificate of completion.

Certificación

Certificación

Upon successful completion of the course and final assessment, learners receive a certificate in Business Analytics & Data-Driven Decision Making.

  • For Individuals: The certificate demonstrates practical capability in analytics-led decision-making, dashboard interpretation, AI governance awareness, and business performance analysis.
  • For Corporate Teams: The certificate supports internal capability building by documenting that managers and staff have received structured training on analytics governance, evidence-based decision-making, and responsible use of data.

Por qué elegirnos

  • Spain and EU-Relevant Content: The course connects business analytics with GDPR, LOPDGDD, worker digital rights, AI governance, and European data-sharing developments.
  • Executive-Level Practicality: Lessons are designed for decision-makers who need to interpret analytics outputs, challenge assumptions, and act confidently.
  • Compliance-Aware Analytics Training: Participants learn not only how to use data, but how to use it responsibly, lawfully, and transparently.
  • Strategic and Operational Balance: The course covers board-level decisions, capital allocation, workforce planning, supply chain risk, customer analytics, pricing, marketing, AI, and ethics.
  • Future-Ready Leadership Focus: Learners develop the capability to lead analytics adoption in increasingly automated, regulated, and data-intensive organisations.

Oportunidades profesionales

Completion of this Business Analytics & Data-Driven Decision Making course can support progression into roles requiring data literacy, analytics leadership, governance awareness, and strategic decision support.

  • Business Analytics Manager: Lead analytics initiatives that support operational, financial, customer, and strategic decision-making.
  • Data-Driven Strategy Consultant: Advise organisations on evidence-based planning, KPI systems, performance improvement, and market intelligence.
  • Operations Performance Analyst: Use predictive and operational analytics to improve productivity, efficiency, supply chain resilience, and process performance.
  • Customer Insights Manager: Apply segmentation, lifetime value, pricing, demand, attribution, and revenue analytics to improve customer and market strategy.
  • AI Governance Lead: Support responsible AI adoption, human oversight, explainability, model risk management, and compliance coordination.
  • Risk and Compliance Analytics Specialist: Monitor analytics systems for legal, ethical, cybersecurity, data quality, and governance risks.
  • Executive Dashboard Specialist: Design leadership reporting systems that translate complex data into clear business decisions.

Currículum

1

Module 1: Legal, Regulatory & Governance Framework (Spain & EU)

4 • 2 hours

  • 1.1 GDPR, LOPDGDD & Worker Digital Rights
  • 1.2 Automated Decision-Making, Algorithms & AI Act
  • 1.3 Data Governance, Data Spaces & Sectoral Sharing
  • 1.4 Liability, Compliance Audits & Executive Accountability
2

Module 2: Strategic Business Analytics for Executive Decision-Making

4 • 2 hours

  • 2.1 Analytics-Driven Strategy Formulation
  • 2.2 Data-Backed Capital Allocation & Investment Decisions
  • 2.3 Executive Dashboards & KPI Architecture
  • 2.4 Bias-Resistant Decision Frameworks
3

Module 3: Advanced Analytics in Operations & Performance Management

4 • 2 hours

  • 3.1 Predictive Operations & Process Optimization
  • 3.2 Workforce & Productivity Analytics
  • 3.3 Supply Chain & Risk Analytics
  • 3.4 Data-Driven Cost Control & Efficiency Programs
4

Module 4: Customer, Market & Revenue Analytics

4 • 2 hours

  • 4.1 Advanced Customer Segmentation & Lifetime Value Models
  • 4.2 Pricing, Demand & Revenue Optimization Analytics
  • 4.3 Marketing Attribution & Omnichannel Analytics
  • 4.4 Market Intelligence & Competitive Analytics
5

Module 5: AI, Machine Learning & Decision Automation in Business

4 • 2 hours

  • 5.1 Machine Learning for Managerial Decisions
  • 5.2 Decision Automation vs Human Oversight
  • 5.3 Explainable AI (XAI) for Business Leaders
  • 5.4 Scaling AI & Analytics Across the Organization
6

Module 6: Risk, Ethics & Future-Ready Analytics Leadership

4 • 2 hours

  • 6.1 Ethical Risks, Bias & Social Impact of Analytics
  • 6.2 Cybersecurity & Data Integrity for Analytics Systems
  • 6.3 Analytics Failure, Model Risk & Crisis Decision-Making
  • 6.4 Data-Driven Organizations in Spain
7

Mock Exam

1 • 30 minutes

  • Mock Exam of the Business Analytics & Data-Driven Decision Making Course
8

Final Exam

1 • 30 minutes

  • Final Exam of the Business Analytics & Data-Driven Decision Making Course

Preguntas Frecuentes

No. This course is designed for business professionals, managers, executives, analysts, consultants, and compliance teams. It explains analytics concepts in a practical business context without requiring advanced coding skills.

Yes. The course is strongly focused on executive decision-making, KPI architecture, capital allocation, dashboard interpretation, risk governance, and analytics-led strategy.

Yes. The course includes GDPR, LOPDGDD, worker digital rights, automated decision-making, AI Act governance, data governance, data spaces, compliance audits, and executive accountability.

Yes. The course introduces machine learning for managerial decisions, decision automation, human oversight, explainable AI, and the organisational scaling of AI systems.

No. It is suitable for both technical and non-technical professionals. Data analysts will benefit from the governance and business strategy elements, while managers will benefit from the decision-making and interpretation frameworks.

It helps businesses improve decision quality, reduce bias, strengthen accountability, design better dashboards, manage analytics risk, and align data use with Spanish and EU regulatory expectations.

Yes. Module 4 covers customer segmentation, lifetime value models, pricing analytics, demand forecasting, revenue optimisation, marketing attribution, omnichannel analytics, and competitive intelligence.

Yes. Ethical risks, bias, social impact, model risk, crisis decision-making, and responsible analytics leadership are covered in detail.

Yes. Participants receive a verified digital certificate of completion upon successfully finishing the course.

Yes. The course is suitable for corporate teams that need structured training on analytics governance, executive dashboards, responsible AI adoption, risk management, and data-driven decision-making.

Professional business analytics course banner featuring a laptop dashboard with charts, KPIs, data visualizations, and analytics reports focused on data-driven decision making for businesses.
29,00 €
Este curso incluye
  • 13 Horas
  • Acceso desde móvil y PC
  • Materiales de estudio incluidos
  • Certificado de finalización