This project will have three Microsoft Word documents to submit answering differ

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This project will have three Microsoft Word documents to submit answering different sets of questions.
Topic 1 & 2 discussion (2 topics, one main response to each. Support your arguments under each topic with at least one source from the course readings, and three reliable nonscholarly sources derived from your own research, 1 page )Due 05/14/2022 at 11:00 am EST
Topic 3 & 4 discussion (2 topics, one main response to each. Support your arguments under each topic with at least one source from the course readings, and three reliable nonscholarly sources derived from your own research, 1 page) Due 05/17/2022 at 11:00 am EST
Data analysis answers (10 questions, 1 page each include one or more screenshots of the relevant Google Analytics page to support your answers)Due 05/24/2022 at 11:00 am EST
You will have a total of two weeks to finish this project: one week for discussions and the Google Analytics tutorial, and one week to answer the client’s data analytics questions. You must complete the four steps of this project while adhering to the rubric below:
Step 1: Discuss Customer Relationship Management and Search Engine Optimization
Step 2: Discuss Data Analytics and Complete Google Analytics Tutorial
Step 3: Answer CompanyOne’s Data Analysis Questions
Step 4: Submit Your Work
You must participate in the discussions within the designated time period in order to satisfy the requirements of this project.
Project Rubric:
1.3: Provide sufficient, correctly cited support that substantiates the writer’s ideas.
1.6: Follow conventions of Standard Written English.
2.5: Develop well-reasoned ideas, conclusions, or decisions, checking them against relevant criteria and benchmarks.
3.1: Identify numerical or mathematical information that is relevant to a problem or situation.
3.2: Employ mathematical or statistical operations and data analysis techniques to arrive at a correct or optimal solution.
3.3: Analyze mathematical or statistical information or the results of quantitative inquiry and manipulation of data.
3.4: Employ software applications and analytic tools to analyze, visualize, and present data to inform decision-making.
6.4: Develop and recommend strategies for an organization’s sustainable competitive advantage.
12.2: Analyze marketing information.

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