MIS609 Data Management and Analytics Case Study 1 Sample
Task Summary
For this assignment, you are required to write a 1500-word report proposing data management solutions for the organisation presented in the case scenario.
Context
Module 1 and 2 explored the fundamentals of data management. This assignment gives you the opportunity to make use of these concepts and propose a data management solution (a pre- proposal) for the organisation presented in the case scenario. This assessment is largely inspired from Data Management Maturity (DMM)SM Model by CMMI (Capability Maturity Model Integration).
Task Instructions
1. Please read the attached case scenario.
2. Write a 1500-word data management pre-proposal for the organisation.
3. The pre-proposal should not only discuss the technical but also the managerial aspects (cost, manpower, resources, etc.). Please keep in mind that you are writing a pre-proposal and not a detailed proposal.
4. Please ensure that you remain objective when writing the pre-proposal.
5. Your pre-proposal should ideally answer (but not be limited to) the following questions:
a) What would the data management strategy be?
b) How would data communication be done?
c) Which kind of data would be managed by your organization and how?
d) How many staff members at your organization would manage data of this school; what would be the team hierarchy and what would their expertise be?
e) What resources would be required from the school?
f) What deliverables (hard and soft) would be provided to the school?
g) What would general data management operations look like?
h) How would data management policy be set and how would it be implemented?
i) How would metadata be managed?
j) How would data quality be managed?
k) How would data management practices be audited and how would quality be assessed?
l) How will user and business requirements be collected from the clients?
m) Which data architectures and platforms would be used?
n) How would legacy data be taken care of?
o) How would risks be managed?
p) What benefits would the school have as a result of outsourcing this service to your organisation?
q) What are the potential disadvantages that the school can face?
r) Others....
6. The questions mentioned above are written randomly, in no particular sequence. When addressing these questions in your pre-proposal, please ensure that you write in a systematic way. Make use of the web to find out what pre-proposals look like.
7. You are strongly advised to read the rubric, which is an evaluation guide with criteria for grading your assignment. This will give you a clear picture of what a successful pre-proposal looks like.
Case Scenario
You are a Business Development Manager in a large Information System Support organisation that provides data management solution for various clients in Australia. Your organisation enjoys a very good repute for its services and is rated exceptionally well in the business community. You are tasked by your supervisor, Vince Sutter, the president of the organisation, and your direct supervisor, to write a service proposal for a new client. The new client of your organisation is potentially a large private school that offers online schooling services to students who are at remote locations. This school has almost 2300 registered students from all over Australia from Year 1 to 10. Like your organisation, this school also enjoys a very good reputation and is ranked as one of the best online schools based on the students’ and parents’ feedback.
John Brown, the school principal, is a forward-thinking man. He wants to ensure that the school should optimise its operations and keep improving in every way possible. Given the fact that the school has a large number of students and it is continually growing as a market leader, John Brown sees an opportunity for improvement. Brown now wishes that the school staff would focus more and more on learning and teaching, which is the core function of the school. To generate better focus, he and the school’s Board of Directors opt for managed services. They plan to outsource the school’s data management function to a reputed organisation that is capable of managing the school’s data. Brown searches for a data management company and comes across your organisation. He meets Vince Sutter and asks him to submit a pre-proposal for the school’s complete data management.
Solution
Introduction
Data management is defined as the practice of storing, organizing, maintaining, and ingesting the data collected and created by an organization. The effective and proper way of managing data implies deploying IT systems. This not only helps in the smooth running of business applications but also provides analytical knowledge for driving strategic planning and operational decision-making by business managers, corporate executives, and end-users (Cheng et al., 2019).
On a similar note, the given report details a pre-proposal for the management of data of a reputed school in Australia. Uni Assignment Help, The school has to store and track the information of 2300 registered students (Diène et al., 2020). They remotely access the administration and premises of the school and thus, data management is purposeful. Responsibility for the school’s data management is outsourced to a large Information System support Organization in Australia.
Pre-Proposal for The Data Management of The School
A: Data management strategy
The main strategy for the school’s data management is to frame an appropriate business strategy and ensure that the data is consumed, processed, and stirred in a way needed by the organization. As per the appropriate strategy, the management of data should also ensure effective data monitoring, assuring, controlling, and protection considering security policies and processes and data governance.
B: Process of initiating data communication
Data communication for the school will be initiated by collecting data from remote regions via data transmission circuits. Following this output processing results would be transferred to remote areas (Karim et al., 2020). Moreover, data communication involves components such as message, receiver, sender, medium, and protocols.
C: Kind of data managed along with the specification of the process
Data related to testing scores of students and their grades, school climate, staff, parent and student surveys, results of the school curriculum audit, exclusions and attendance of the school staff and students, progress and attainment, behavior, financial management, rigor-based audit by external professionals and alignment-based report with national or state standards would be managed by the outsourced Information system support organization (Thomas et al., 2019). These data will be managed by the following steps
? Creating a discovery layer to determine the data of the school
? Developing a data science environment for efficiency repurpose of the school’s data
? Using autonomous technology for maintaining performance levels across the braid data tier
? Using discovery for staying on the top of compliance regulations
? Using a layer of common query for managing diverse and multiple types of data storage
D: Specification of the number of staff members along with the segregation of the structure
As per the scenario, the assisting data management organization would implement a team of 4 members to manage the data in the given school. The hierarchy of the outsourced data management team is illustrated as follows
? Data scientist
? Data engineer
? Data analyst
? Data manager
The data scientist would have expertise in performing the design of the work for shaping and informing data projects. Data engineer has the expertise in building, maintaining and designing datasets that are leveraged in unnecessary data projects. The data analyst of the given organization is professional and expert at using data to conduct direct and reporting analysis (Emara& Huang, 2019). The data manager of the mentioned IT organization is an expert in analyzing data, organizing and deciphering huge volumes of data.
E: Resources from school
The resources that would be required from the mentioned school are the raw data that has to be managed and tracked by the IT organization. As a business development manager, it is important for Vince Sutter to gain access to a large volume of information in order to be able to manage the data efficiently. Various resources are required in order to be able to manage the school’s data management process in an efficient manner. It involves the preservation of datasets and ancillary information which would help in the promotion of access due to change of data and also being able to reprocess the errors in an efficient manner (He et al., 2020). It is also important to have access to reliable and highly unprecedented volumes of data. It is also important to ensure consistent quality of data without any form of manual intervention. Resources also include database management systems and data analysis tools which can be used for understanding data patterns.
F: Deliverables (hard and soft) for the school
With the implementation of the data management plan, the required deliverables (hard and soft) for the given school are as follows
? Clear and transparent Guiding principles for the remote students and school staff
? Legal framework for the school administration
? Convenient management of data summary
? Fair data management on the basis of find ability, accessibility, reusability, and interoperability (Shamim et al., 2019).
? Proper resource allocation and thereby maintaining the cost-effectiveness criteria of the school
? Ensuring data security of the personal information of the students.
G: Outlook of general data management
The general outlook of data management includes factors such as acquisition, validation, storing, processing, and protection of data. This can help in ensuring a high degree of reliability and accessibility of the available information. The organization can also make use of big data in order to ensure that the information which is available is reliable and valid. The outlook of data management operation also includes steps such as processing of data, validation of data, and other essential information (Vilminko-Heikkinen & Pekkola, 2019).
H: Setting and implementation of data management policy
Setting up of the school’s data management policy must consider the following aspects
? School’s data is not possessed by any other business or individual unit and only owned by the school
? Data of the school has to be safe
? Data of the school can be easily accessed by students and other school staff
? Metadata for the school has to be utilized and developed especially for all unstructured and structured data (He et al., 2020)
? Owners of data are accountable for the school’s data
The implementation of data management policy is as follows
? Framing an implementation committee for the school the comprised stakeholders from the IT organization at the school
? Supporting the school with tailored data management planning
? Framing an active data-based infrastructure
? Promoting the idea of Data Stewardship
? Facilitating data management support
? Data management and data sharing for creating awareness.
I: Management of metadata
The management of the school’s metadata includes the following steps
? Initiating with the questions regarding what type of data the school has to manage
? Identification of core Sources and Attributes such as the key stakeholders for which the data needs to be managed (Cheng et al., 2019)
? Identification of the key data experts such as the assistant data management team
? Since data changes continuously, management of meat requires consistency and also required the creation of data management protocols for maintaining the privacy and confidentiality of the school’s data
J: Management of data quality
Following are the ways through which quality of data management for the school
? Reviewing current data
? Promoting data quality firewalls
? Integrating BI software with DQM processes
? Considering the right individuals in the management process
? Ensuring data governance with the Board of the School
K: Process of auditing data management practices and assessing the quality
Data management practices for the school should be audited by answering the following questions
? How is the management of the data done?
? Where the data of the school is managed?
? What type of data is to be managed?
The quality of the given school’s data management should be assessed with the fulfillment of certain KPIs like Data uniqueness, Data consistency, Data completeness, Data precision, Data conformity, Data timeliness, Data relevance, Data validity, Data Integrity, and Data accuracy.
L: Process of collecting user and business requirements from the clients
The collection business and user requirements from the clients associated with the given school would be done as follows
? Open-ended interview-based questions
? In-depth surveys and questionnaires
? Interviews of focused groups
? Advanced lead forms Feedback form questions and deep listening
M: Used architectures and platforms (Karim et al., 2020)
Here, the assisting IT support organization will consider the application of MDA (Multiplatform Data Architecture) which is the eclectic blend of new and old data and is managed in modern and traditional data platforms.
N: Ensuring proper maintaining of legacy data
The legacy of the school’s data can be taken care of by following the following steps
? Data conversions
? Archiving legacy-based data for saving money and time
? Moving legacy data
? Other considerations like data cleaning
O: Management of risks
The risks for the data school’s data management can be undertaken by the following steps
? Facilitating accountability
? Creating a strategic data management plan (Thomas et al., 2019)
? Determining the data delivery plan
? Creating consistent data management policies
? Updating the software to its best version
P: Advantages for the school
With proper data management, the school can have the following advantages
? Improved productivity of the school on the ground of manpower, cost, and resource allocation
? Ensuring cost efficiency (Emara & Huang, 2019)
? Operational Nimbleness
? Prohibiting security risks
? Reducing data loss
? Help in taking accurate decisions
Q: Potential disadvantages for the school
Potential disadvantages that the mentioned school can face with the implementation of data management are as follows
? Increased operational cost
? Increasing complexity
? Currency maintenance
? Replacement cycle and frequency upgrade.
Conclusion
It is important to take into consideration various factors such as the manner in which data can be managed to ensure effective and meaningful results through proper insight into the knowledge management systems. The significance of data management has become prominent to a great extent in a way that business operations are subjected to increased regulatory compliance requirements such as data protection and privacy laws. In addition, contemporary business organizations are getting stacked with large data volumes of distinct types. This requires a proper data management system and structure. Failing to meet this criterion will not let the organizations and involved operating teams navigate the huge volume of data.
Reference
Cheng, P., Lu, Y., Du, Y., & Chen, Z. (2019). Tiered data management system: accelerating data processing on hpc systems. Future Generation Computer Systems, 101, 894–908. https://doi.org/10.1016/j.future.2019.07.046
Diène, B., Rodrigues, J. J. P. C., Diallo, O., Ndoye, E. L. H. M., &Korotaev, V. V. (2020). Data management techniques for internet of things.Mechanical Systems and Signal Processing, 138. https://doi.org/10.1016/j.ymssp.2019.106564
Emara, T. Z., & Huang, J. Z. (2019).A distributed data management system to support large-scale data analysis.The Journal of Systems & Software, 148, 105–115. https://doi.org/10.1016/j.jss.2018.11.007
He, Y., Faircloth, B. S., Hewitt, K. K., Rock, M. L., Rodriguez, S., Gonzalez, L. M., & Vetter, A. (2020). Data management and use through research practice partnerships: a literature review. Educational Research Review, 31. https://doi.org/10.1016/j.edurev.2020.100360
Karim, A., Siddiqa, A., Safdar, Z., Razzaq, M., Gillani, S. A., Tahir, H., Kiran, S., Ahmed, E., & Imran, M. (2020). Big data management in participatory sensing: issues, trends and future directions. Future Generation Computer Systems, 107, 942–955. https://doi.org/10.1016/j.future.2017.10.007
Shamim, S., Zeng, J., Shariq, S. M., & Khan, Z. (2019). Role of big data management in enhancing big data decision-making capability and quality among chinese firms: a dynamic capabilities view. Information & Management, 56(6). https://doi.org/10.1016/j.im.2018.12.003
Thomas, M. A., Cipolla, J., Lambert, B., & Carter, L. (2019).Data management maturity assessment of public sector agencies.Government Information Quarterly, 36(4). https://doi.org/10.1016/j.giq.2019.101401
Vilminko-Heikkinen, R., &Pekkola, S. (2019). Changes in roles, responsibilities and ownership in organizing master data management. International Journal of Information Management, 47, 76–87. https://doi.org/10.1016/j.ijinfomgt.2018.12.017
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