# data[].attributes.body
Despite seemingly dissented perspectives of the problem between the two, both groups understand their own tasks and responsibilities, especially the questions the professor has assigned. To supplement each team's progress to a viable CRM solution, the teams made requests and displayed healthy skepticism: indicative of ambitions to work out a sound solution.
Questions and Requests from the MIS Team:

1. "Please propose multiple strategies so that we can provide the information on which data to provide and the availability of the data."

2. "Given the emphasis of geolocational data proposed, why couldn't you suffice with the broader locational data from the sample data set?"

3. "What are your plans after you have decided your target customer base?"

Questions and Requests from the Marketing Team:

1. "In line with our request for the types of data needed, what will be the ethical restraints in obtaining the specific locational data? Is it possible?"

2. "What are the costs and benefits of utilizing each type of data we want?"

3. "What will be the most effective strategies for you out of the proposed three?"

By giving well-researched, data-driven and and creative answers for each other, the teams proceeded to the aim of working out a solution. Both teams were highly motivated and showed signs of deep understanding on how to derive a solution through the logics of proposal, issues, resolution.

#Answers will be featured in the presentation / presentation material.

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As a marketing team, our team tried to write as little as possible on ppt and fill it with visual images. Our team's presentation began by explaining our ultimate goal, the most basic conditions for achieving it. And each of the group members presented about three complementary solutions. He also added the reasons why our team came up with such a solution and actual examples. And I let the information technology team know what data we need to achieve that.

# data[].attributes.body
First, the MIS team went into the presentation and first explained the information given to Crimson. Going to the main point, it was revealed that the final goal of the MIS team is to systematically collect information, turn it into data, and provide appropriate data to the marketing team. It also briefly analyzed Crimson's sample data, which is currently given, and suggested what implications it has and in what ways the survey can be expanded. The route for collecting information was mainly explained by using the Internet platform.

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Inter-departmental Meeting

Marketing Department 4 & MIS Departmen 4

Meeting purpose - module session 2, Group discussion II

Meeting Date / Time -
2023.10.11, 12:10 p.m. ~ 12:55 p.m.

Participants -
권재호, 라민우, 양도원, 엄주혁 (Marketing)
우유태, 이은서, 스뱌토슬라프 예르모신, 최윤(MIS)

Presenters -
이은서, 라민우

Agenda -
1. MIS Team's Presentation
2. Marketing Team's Presentation
3. Debating on data and Solutions
4. Exchange Q&A Session
5. Procession to Agreement
*Returned to Team's Breakout Rooms
6. Assessed Discussion Materials
7. Reviewed, Submitted Objective Evaluation
8. Arranged Further Plans

Course Summary of Inter-departmental Meeting
The discussion started off with the MIS Team's presentation. They mainly focused on how to collect the data needed. They suggested many good ways to collect data. After their good presentation, the marketing team presented. We mainly focused on how to attract and be intimate customers. There was a lively Q&A after two presentations. The meeting ended on time despite a little bit of time shortage.

# data[].attributes.body
Both teams shared ample resources beyond the presented powerpoint material that went into the discussion. One impressive thing to note here is that the two groups continued to communicate after the zoom session ended, ensuring the quality of research and solutions that will be presented later. These include references and sources for further learning, the fundamental rhetorics behind each proposal, and the primary research recorded throughout the module.

# data[].attributes.body
Both teams clearly conveyed own team's expertise to the other team and presented well with ample reach and rationale.

Our main areas of discussion were
1. Problem Analysis
2. Essential Conditions and Set Goals
3. The Teams' Values, Views and Opinions
4. Nature, Method and Types of Data Required and Acquisition, the Cost-Benefit Analysis for Each Data Set
5. Strategy Proposals, Pros and Cons
6. Research Exchanges

# data[].attributes.body
Both of the departments produced a fruitful discussion today, both constantly reaffirming the viability of strategies and the data backing up.
As regards to our group, we aim to deliver a more compact and collaborative presentation including the logics of deriving a resolution through conflicts and differences. Learning from the shortcomings of the previous presentation, the following will be the tasks that we will complete, building up to the final presentation.

Gain final approval, confirmation and feedback from the MIS team before the development of materials and scripts.

Review the reference materials, assignments, opinions and analysis of both teams.

Revise and decide the statistics and visuals necessary. (in light of the recent instruction on the lack of conclusiveness of the sample data set.)

Speculate and research more for the future goals and implementation sections of the presentation.

Determine the division of labour: alternating roles - PPT development (양도원, 권재호), Presenters (엄주혁, 라민우), Final review and script composition (ALL)  Finished

Arrange zoom sessions to rehearse both the presentation and the Q&A, work on time managements and resolve last minute misunderstandings.

Deliver a 15/15 presentation.

# data[].attributes.body
A similar opinion is that both teams have general overlapping ideas on the types of data that is required, and the agreement on the goals of some of the strategies we porposed. Both teams highlighted the need for basic demographics, customer comments and feedbacks, purchasing behaviour and transactional data of customers. On the other hand, the goals for company's interests and the demand for effective customer interaction were also observed to be common conditions of both teams.

However, there were some differences in what data should be important.
While Marketing department have more value on geographic data, the MIS department puts more weight on data related to consumer consumption patterns and frequency types.
There were some differences in the  consumer target layer as well. Marketing department argued that we should maintain existing customers while considering attracting new customers, but the Mis department insisted that focusing on only one of the two would be more productive and efficient.

# data[].attributes.body
Through the inter-departmental meeting, we wanted to get datasets like basic credentials, more specific geolocational data, customer purchasing patterns, and behaviour interactive data. We got some data based on the sample data. They also provided detailed methods to acquire data. Social media platform tracking, website/app analysis. Based on the data from the MIS team and the methods, we can target the customer that is noble to Crimson more than other large corporations.

We and the MIS team agreed on the idea Crimson should concentrate on Customer Intimacy. We suggested investing in acquisition of customized preferences and boosting emotional connection. Also, some incentives and renovative interactions are ways to interact with customers well. MIS team also presented the solution, which is Crimson should build a strong customer relationship. They suggested data-acquiring ways from customers.

# data[].attributes.body
Both teams displayed persuasive ideas each justified by data or logic. The explanations were satisfactory and led to the consensus of strategy implementations. Some of the points rationalized by each team are as follows.
MIS Team - (references included above)
1. The focus for one area of customer goal: rentention vs attraction. (Will new market expansion truly mitigate the issue?)
2. The skepticism for the importance of geolocational data. (The other types of data: basic credentials, purchasing patterns and transactional data, should be as equally as useful; plus, the acquisition of specific location comes at an ethical cost.)
3. The skepticism for the 2nd strategy, "Limited-time sales." (Customers may be not interested in the promotion at all, and the corporations can imitate the scheme with more success.)
Marketing Team - (references included in the previous padlet)
1. Effectiveness of all three strategies. (Justified by case studies, their success, integrated research, and logical persuasion.)
2. The importance of geolocational data (Provided the article on customer insights through locational data + The relation between targeted marketing, purchasing power and property values.)
3. Non-guaranteeable competitive advantage. (Despite active goals on market advantage, the rationale that whatever we do, big companies can do better. Inquality of rivalry refernced by browser wars.)