Skip to content

Latest commit

 

History

History
executable file
·
76 lines (56 loc) · 3.69 KB

Week 1.md

File metadata and controls

executable file
·
76 lines (56 loc) · 3.69 KB

How to craft effective questions

  • SMART methodology : questions that encourage changes are action oriented.

  • how dashboards and reports are different in data analytics in one sentence

    ChatGPT

    Dashboards provide real-time visualizations and summaries of key metrics, while reports offer detailed, often static, presentations of data and analysis findings in data analytics.

  • what is operators in one sentence

    ChatGPT

    Operators are

    symbols or keywords in programming and mathematics used to perform specific operations or calculations on variables and values.

Data in action

  • Target audience is important for ad
  • Budget -
  • collaborate with stakeholders
  • prepare ; collect different advertise method for target audience
  • process; eliminate errors and outliers
  • analyse; see demographics - target audience
  • ![[Pasted image 20231001212228.png]]
  • Marketing analytics is the process of measuring, analyzing, and managing a company’s marketing strategy and budget.

The six data analysis phases

Step 1: Ask

  1. What are my stakeholders saying their problems are?

  2. Now that I’ve identified the issues, how can I help the stakeholders resolve their questions?

Step 2: Prepare

  1. What do I need to figure out how to solve this problem?

  2. What research do I need to do?

Step 3: Process

  1. What data errors or inaccuracies might get in my way of getting the best possible answer to the problem I am trying to solve?
  2. How can I clean my data so the information I have is more consistent?

Step 4: Analyze

  • You will want to think analytically about your data. At this stage, you might sort and format your data to make it easier to:

  1. What story is my data telling me?

  2. How will my data help me solve this problem?

  3. Who needs my company’s product or service? What type of person is most likely to use it?

Step 5: Share

  • summarize your results with clear and enticing visuals

  1. How can I make what I present to the stakeholders engaging and easy to understand?

  2. What would help me understand this if I were the listener?

Step 6: Act

  1. How can I use the feedback I received during the share phase (step 5) to actually meet the stakeholder’s needs and expectations?

Structured Thinking

  • These above six steps can help you to break the data analysis process into smaller, manageable parts, which is called structured thinking.
  • This thinking involves 4 basic activities
    1. Recognizing the current problem or situation
    2. Organizing available information
    3. Revealing gaps and opportunities
    4. Identifying your options

Common problem types

are 6 problems:

  1. Making predictions
    • A company wants to know which is best ad method to reach so, Analysts with data on location, type of media, and number of new customers acquired as a result of past ads can't guarantee future results, but they can help predict the best placement of advertising to reach the target audience.
  2. Categorizing things- helps to collerate (Grouping data based on common features.)
  3. Spotting something unusual - (Spotting something unusual) smart watch data for something unusual and build product algorithm based on it.
  4. Identifying themes (Recognizing broader concepts and trends from categorizing data)- required for ux designer, so data analyst research to identify theme and provide more priority
  5. Discovering connections(Identifying similar challenges across different entities—and using data and insights to find common solutions) - connection between the place of shipping hub and customers on time delivery
  6. Finding pattern - taking past maintenance data to see where and how device get failures has happened so that it can be avoided in the future.