Business Analytics & Data-Driven Decision Making

Build business analytics skills for confident data-driven decision making.

77
August 2026
Business Analytics & Data-Driven Decision Making
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Overview

What if your data is actually misleading you? Over 33% of EU enterprises use analytics today.

However, poor governance often ruins great insights instantly. Because true success requires pairing strategy with ethical AI.

Hence, you must master predictive dashboards and risk control. Easily satisfy GDPR rules while eliminating unfair bias. Turn complex raw figures into unstoppable revenue now!

Learning Outcomes

By completing this course, learners will be able to:

  • Analyse business data for strategic and operational decisions.
  • Evaluate dashboards, KPIs, and performance indicators.
  • Apply predictive analytics to operations and risk questions.
  • Examine customer, pricing, marketing, and revenue analytics.

Certification Information

Certification Information

After completion, learners receive this certificate:

Certificate of Completion from Spanish Compliance Institute

Curriculum

1

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

4 • 1 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 • 1 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 • 1 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 • 1 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 • 1 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 • 1 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

  • This practice assessment reviews key course concepts. It also covers scenarios, terminology, and professional responsibilities.
8

Final Exam

1 • 30 minutes

  • The final exam checks understanding across the full course. It supports completion of the certificate pathway.

Requirements

  • Basic understanding of business operations or decision-making
  • Analytical thinking for evaluating technology risks and opportunities
  • A computer, tablet, or suitable mobile device.
  • Reliable internet access for online learning.

This Course Includes

  • Business strategy, governance, risk, and accountability coverage
  • Spain and EU regulatory awareness
  • Strategic decision-making and AI oversight concepts
  • Mock and final assessments
  • Certificate of Completion from Spanish Compliance Institute

Why Choose Us

Spanish Compliance Institute delivers structured learning focused on AI strategy, governance, and responsible technology use. Flexible online access also supports professionals balancing development with existing responsibilities.

Learners choose Spanish Compliance Institute because training is:

  • Clear, structured, and easy to follow.
  • Relevant to evolving AI and technology environments.
  • Designed around Spanish and EU regulatory contexts.
  • Suitable for professionals, teams, and business leaders.
  • Supported by a Certificate of Completion.

Career Opportunities

This course supports professionals in analytics-related roles, including:

  • Business Analyst
  • Business Intelligence Analyst
  • Strategy Analyst
  • Operations Analyst
  • Business Analytics Manager

This course supports career development across analytics-related roles. It does not guarantee employment or professional status.

More About This Course

How does this course support better business decisions?

Business analytics turns data into evidence for decisions. This course connects evidence with strategy, operations, and governance. Learners study performance, customers, risk, AI, and oversight. Decision quality depends on data quality and interpretation.

Who should enrol in this business analytics course?

This course suits professionals making evidence-based business decisions.

  • Managers interpreting KPIs and performance trends.
  • Analysts supporting operational or strategic decisions.
  • Finance teams evaluating investment and cost decisions.
  • Operations teams improving processes and productivity.
  • Marketing teams analysing customers, attribution, and demand.
  • Risk teams reviewing models, controls, and data integrity.
  • Leaders overseeing AI-supported business decisions.

What does this course cover?

The course connects analytics with six business areas. Detailed lessons appear within the Curriculum section. 

  • Spain/EU governance and accountability
  • Strategy, investment, dashboards, and decision frameworks
  • Operations, workforce, supply chain, and cost control
  • Customers, pricing, marketing, and market intelligence
  • Machine learning, automation, XAI, and scaling
  • Ethics, cybersecurity, model risk, and leadership

What happens when analytics decisions are poorly governed?

Poor data quality can distort business conclusions. Bias can influence models, dashboards, and automated decisions. Weak oversight can increase privacy and operational risks. Model failures can also disrupt critical business choices.

Strong governance helps teams challenge assumptions and evidence. It also supports more accountable data-driven decisions.

Frequently Asked Questions

Yes. You will explore descriptive, diagnostic, predictive, and prescriptive analytics, along with machine learning and explainable AI.

Yes. The course features practical frameworks, case studies, and market intelligence scenarios to help you question data before making business choices.

Yes. You will build core capabilities in dashboard analysis, predictive modeling, pricing strategy, and model risk oversight.

Yes. It thoroughly covers essential frameworks like GDPR, LOPDGDD, automated decision-making rules, cybersecurity, and algorithmic bias.

Yes. It is specifically designed to help managers and executives replace gut feelings with accountable, data-driven strategy and clear oversight.

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