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Duration 14 hours
Course Outline
Core Principles of Data-Driven Thinking
- The function of data within an organization
- Supporting operational and strategic decisions with data
- Contrasting data-driven versus intuition-driven organizational cultures
- Avoiding common errors in data management
2. Sources and attributes of data
- Transactional, operational, and reference datasets
- Internal versus external data sources
- Structured and unstructured data formats
3. Data quality and its effect on decision-making
- Assessing completeness, consistency, timeliness, and accuracy
- Identifying typical data quality challenges
- Understanding how flawed data distorts analytical conclusions
4. Essential data analysis methodologies
- Descriptive analysis
- Comparative analysis
- Analyzing trends and seasonality
- Data segmentation techniques
5. KPIs and business metrics
- Distinguishing between KPIs and general metrics
- Selecting appropriate performance indicators
- Mitigating the risks of KPI saturation
Deriving Insights and Business Recommendations
- Interpreting analytical outcomes
- Placing data within a business context
- Separating correlation from causation
- Recognizing patterns and anomalies
2. Sophisticated analytical techniques
- Scenario analysis
- Root Cause Analysis (RCA)
- Drawing inferences from incomplete datasets
3. Data visualization practices
- Key principles for clear visual representation
- Matching visualization formats to data types
- Avoiding common presentation errors
4. Crafting insights
- Defining what constitutes a business insight
- Transitioning from raw data to definitive conclusions
- Structuring logical and coherent insights
5. Formulating data-driven recommendations
- Connecting data findings with business realities
- Acknowledging the risks and limitations of recommendations
- Presenting recommendations effectively to decision-makers
Requirements
- Fundamental skills in Microsoft Excel or comparable spreadsheet applications.
- Prior experience handling business or operational reporting.
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A basic understanding of descriptive statistics is beneficial.
Target Audience
- Business and Systems Analysts.
- Consultants and Strategy Experts.
- Managers and Team Leaders who rely on data to guide decisions.
- Specialists in Reporting and Business Intelligence (BI).
Testimonials (2)
The trainer shared his knowledge and led great atmosphere.
Agnieszka Dubanska - Narodowy Fundusz Zdrowia
Course - Modelowanie procesów biznesowych z wykorzystaniem UML i BPMN
the lessons
