give basic problem solving at data analytics for ppt presentation using the above aspects

1. Break Down the Problem

To create a basic problem-solving framework for data analytics, we need to identify the key components involved in the analytics process:

1. Defining the problem
2. Collecting data
3. Analyzing data
4. Interpreting results
5. Making decisions

2. Relevant Concepts

Each component can be associated with specific concepts in data analytics:

1. Defining the Problem: Understanding business objectives and formulating a clear question.
2. Collecting Data: Identifying sources (primary vs. secondary data) and methods (surveys, sensors, databases).
3. Analyzing Data: Statistical techniques (mean, median, regression analysis) and tools (Excel, Python, R).
4. Interpreting Results: Data visualization techniques (charts, graphs) and statistical inference.
5. Making Decisions: Connecting results with business strategy and formulating actionable insights.

3. Analysis and Detail

Let’s take a closer look at each step:

1. Defining the Problem: Ensure you understand the stakeholder's requirements. What is the problem to solve? E.g., "How can we improve customer satisfaction?"
2. Collecting Data: Use various data collection methods, ensuring data quality. E.g., Customer satisfaction surveys, transaction logs.
3. Analyzing Data: Use descriptive and inferential statistics to analyze the data. E.g., Calculate the average customer satisfaction score, and use regression to determine factors affecting satisfaction.
4. Interpreting Results: Utilize visualization tools like Tableau or Matplotlib (in Python) to present key findings. E.g., Create graphs to show satisfaction trends over time.
5. Making Decisions: Based on the analysis, propose steps to improve customer satisfaction. E.g., Implement changes in customer service training based on identified weaknesses.

4. Verify and Summarize

• Ensure the data collected is reliable and the analyses are accurate.
• Summarize by highlighting the main insights derived from the analysis and the recommended actions.

Final Answer

The problem-solving framework for data analytics includes defining the problem, collecting and analyzing data, interpreting results, and making informed decisions. It is crucial to ensure data quality and apply appropriate analytical techniques to derive actionable insights. This structure can serve as a clear guide for a PPT presentation.