solved This is DB question:In the previous module, we learned how

This is DB question:In the previous module, we learned how to drive better business decisions and identify pain points by constructing the data culture through business intelligence. We learned that the next vital step to help drive the data culture is understanding the critical position and capacity building throughout the readings, such as Chapter 16 of DAMA-DMBOK 2: “Data Management Organization and Role Expectations.” Learning the different operating models can help organizations establish roles, responsibilities, and decision-making processes. People can use the operating model to assist when collaborating with functions. In a DataVersity article on developing key roles in an analytics team, the critical roles that are essential to drive the data culture were discussed.As you think about your current organization or the organization you are learning more about within this group project, consider which operating model is suitable for the organization and what roles you would add to help drive the data culture successfully.Requirements:The Discussion Board (DB) prompts are meant to stimulate your early thinking about our weekly topics.  Take these seriously and don’t fall behind as these are time limited.  To receive full credit (2 points) you must do the following:Provide a written response (typically, about 100 words) After you have posted, comment (typically, about 100 words) on at least one fellow student’s DB submission 
Book
ReadingsDAMA-DMBOK2 Chap16: DM Organization & Roles Expectations (Sections 1,2,3,4, &7)Michelle Knight’s blog (2020) What is DBA?(Links to an external site.) (Links to an external site.)Solar Winds (2015) Infographic: Captain DBA to the Rescue (Links to an external site.) (Links to an external site.)Amber Lee Dennis Blog (2020) Scaling the Analytics Team: Developing Key Roles (Links to an external site.)
Post 1
Please choose one of my classmate posts and write a comment:First one:This is a great prompt that made me reflect quite a bit! After some thought I feel that a centralized operating model will work best for the organization I am learning more about. The main reason is that this model will help establish a formal executive position for data management or data governance. I discovered that there is no person in this current role therefore many initiatives around data don’t progress because the lack of accountability and management. I would establish a role such as President of Data Management and Technology. This person would oversee the majority of the work but working in partnership with Vice President of Data and a Vice President of IT. By having a central person and advisors guiding him it will allow for more cohesiveness. In addition I would establish managers under each VP that will help support their goals. Finally, I would establish a committee of multiple stakeholders that will help guide and also support the work that the President will have to do. This committee will be composed of different individuals who have a different stake in the organization. By having data at the center of many conversations, decisions, initiatives, policies, etc. then it will hopefully push for a more organized, centralized, data driven culture in the organization.Second one:The group that I am a part of is working with the Regional Learning Collaborative (RLC) which is a relatively small organization and fairly new. Due to their young age and lack of formal processes, I think a Decentralized Operating Model or the Network Operating Model would fit the company best where they are currently at. While there is technically an existing hierarchy at the RLC with an Executive and Assistant Director, all staff members regardless of title/position have their hands on the data in some capacity. Additionally, many team members work collaboratively on projects so I think it may be difficult at first to pin specific people as “data owners”. The Network Operating Model, using the RACI matrix, may prove beneficial for the RLC so that there is some accountability among staff. Additionally, these two decentralized operating models offer a quick set-up which is currently necessary for the RLC since there are many other data governance-related tasks they need to address while keeping up with their day-to-day business and trying not to overwork their staff.Eventually, as the organization expands, both in terms of team members and data processing, the organization will likely have to move into a more centralized operating model such as the Hybrid Operating Model so there is clear accountability and data ownership. However, a Data Management Center of Excellence would need to be established for that which would require increased staffing and funds which I am not sure will be available to the RLC. Since there is not currently a formalized data warehouse or storage system, the RLC would need to hire people to fill several IT roles such as Data Architect and Database Administrator to ensure smooth functionality of the new data warehouse once it is established. By formalizing a data warehouse and hiring the staff to build and maintain it, I think this would help drive the RLC’s growing data culture.