All public and private sector organizations recognize the great role of data in supporting the process of information-based corporate decision-making, and as a result, data analysts are considered a valuable asset in any organization, so we offer this training course that provides participants with applied knowledge that enables them to collect, validate, and analyze complex business data, and participants can also learn how to draw conclusions that help senior management make rational corporate decisions by following a methodology based on to information and thus be able to achieve strategic objectives.

Who should attend? 

• All managers and specialists who want to develop their skills in the field of business data analysis.
• Planning and performance analysts.
• All professionals who want to improve their abilities to make decisions based on analytical evidence
• Those wishing to develop their capabilities in this field.

Knowledge and Benefits:

After completing the program, participants will be able to master the following:

• Assess the current level of the organization from a data analysis perspective.
• Formulate a research question for a business data analytics process.
• Planning a business data analytics methodology.
• Documentation and communication about the results of analyzes.
• Use results to influence decision-making.

Course Content

• What is Business Data Analytics?
• The role of a business analysts.
• Business data analytics as a set of data-centric activities.
• Business data analytics as a model for decision making.
• Business data analytics as a set of practices and technologies.
• Business data analytics goals.
• Types of analytics methodologies.
• The descriptive aspect of data analytics.
• Diagnostic analyzes.
• Make forward-looking forecasts of what is likely to happen.
• Future perspective.
• Business data analytics tasks.
• Define a business problem or opportunity.
• Assess the current situation.
• Determine the future situation.
• Formulate the research question.
• Planning a business data analytics methodology.
• Planning the data collection process.
• Define datasets and data sources.
• Data collection.
• Conduct information gathering interviews.
• Use guided dialogue.
• Data validation.
• Develop an analysis plan.
• Data preparation and exploration.
• Perform data analysis.
• Evaluate the analyses and system methodology used.
• Identify stakeholders.

• Plan to communicate with stakeholders.
• Identify communication needs with stakeholders.
• Extract information and insights from data.
• Documentation and communication about the results of the analysis.
• Use results to influence business decision-making processes.
• Recommend action.
• Develop a plan for implementation.
• Group discussions and applications.