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Course Outline

Foundations of Data-Driven Thinking

  1. The role of data within an organization
  • Data as a driver for operational and strategic decisions
  • Data-driven versus intuition-driven organizations
  • Common pitfalls in data handling

2. Data sources and characteristics

  • Transactional, operational, and reference data
  • Internal and external data sources
  • Structured and unstructured data

3. Data quality and its impact on decision-making

  • Completeness, consistency, timeliness, and accuracy
  • Typical challenges regarding data quality
  • How flawed data affects analytical conclusions

4. Core data analysis techniques

  • Descriptive analysis
  • Comparative analysis
  • Trends and seasonality
  • Data segmentation

5. KPIs and business metrics

  • Distinguishing between a KPI and a metric
  • Selecting appropriate indicators
  • Avoiding the trap of KPI overload (excessive metrics)

 

Insights and Business Recommendations

  1. Interpreting analysis results
  • The business context of data
  • Separating correlation from causation
  • Identifying patterns and anomalies

2. Advanced analytical approaches

  • Scenario analysis
  • Root cause analysis (RCA)
  • Inference based on incomplete data

3. Data visualization

  • Principles of clear visualization
  • Selecting the appropriate format for the data type
  • Common errors in presenting results

4. Formulating insights

  • Defining a business insight
  • Moving from data to conclusion
  • Structuring a logical insight

5. Data-Driven recommendations

  • Connecting data with business context
  • Risks and limitations of recommendations
  • Communicating recommendations to decision-makers

 

Requirements

  • Fundamental skills in Microsoft Excel or comparable spreadsheet software.
  • Practical experience with business or operational reporting.
  • A basic understanding of descriptive statistics is beneficial.

    Target Audience

  • Business and Systems Analysts.
  • Consultants and Strategy Specialists.
  • Managers and Team Leaders who rely on data-supported decision-making.
  • Reporting and BI (Business Intelligence) Specialists.
 14 Hours

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