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Assignment How do the data processes in the organisation enable data to be turned into wisdom, and what actions can be taken to optimise these processes to facilitate digital transformation?

Category: Education Paper Type: Assignment Writing Reference: APA Words: 2250

 

Learning outcomes:

LO5: Deduce how data can be leveraged to inform organisational change.

LO6: Investigate the role of leaders in making evidence-based decisions.

Name:

1. Instructions and guidelines (Read carefully)

Instructions

1.    Insert your name and surname in the space provided above, as well as in the file name. Save the file as: First name Surname M4U3 Activity Submissione.g. Lilly Smith M4U3 Activity Submission. NB: Please ensure that you use the name that appears in your student profile on the Online Campus.

2.    Write all your answers in this document.

3.    Submit your assignment in Microsoft Word only. No other file types will be accepted.

4.    Do not delete the plagiarism declaration or the assignment instructions and guidelines. They must remain in your assignment when you submit.

PLEASE NOTE: Plagiarism cases will be investigated in line with the Terms and Conditions for Students.

IMPORTANT NOTICE: Please ensure that you have checked your course calendar for the due date for this assignment.

Guidelines

1.    There are 6 pages and 3 questions in this assignment.

2.    Make sure that you have carefully read and fully understood the question before answering it. Answer the question fully but concisely and as directly as possible. Follow all specific instructions for individual aspects of the question.

3.    Answer the question in your own words. Do not copy any text from the notes, readings, or other sources. The assignment must be your own work only.

                                               Plagiarism declaration:

1. I know that plagiarism is wrong. Plagiarism is to use another’s work and pretend that it is one’s own.

2. This assignment is my own work.

3. I have not allowed, and will not allow, anyone to copy my work with the intention of passing it off as his or her own work.

4. I acknowledge that copying someone else’s assignment (or part of it) is wrong and declare that my assignments are my own work.

2. Mark allocation

These questions are worth 26 points. However, you will only receive a final percentage score and will not be given individual points. Use the grading rubric to see how points will be allocated.

Question 1                                                                                           6

Question 2                                                                                           6

Question 3                                                                                           8

Coherence                                                                                           6

TOTAL                                                                                                26

3. Questions

One of the greatest advantages of emerging technologies is that they can be used to collect and process large amounts of data with remarkable accuracy. Data-driven organisations leverage the power of data and data analytics by conducting their business with more efficient and accurate insights, and are therefore in a better position to provide customers with what they want, provided the data they use is free from bias.

For this activity submission, conduct small-scale primary research on an organisation of your choice to find out how a data-driven approach can optimise the organisation’s ability to initiate or advance a digital transformation process. Use quantitative or qualitative research, or a combination of the two, to collect data in order to answer the questions below.

When explaining your research method, make sure to include your sample size. A sample only including one source is likely to generate some biases in your data, so make sure to collect your data from a sample that includes a few different respondents.  

Question 1

How do the data processes in the organisation enable data to be turned into wisdom, and what actions can be taken to optimise these processes to facilitate digital transformation? (Max. 300 words).

Many companies rely on the data-driven processes as it helps them to identify challenges and to have a decision that could affect their bottom line. The most well-known companies that use the data-driven process for decision making are Google, Amazon and Southwest airlines. The actions and decisions in Google are largely based on the data. The company ensures that all the decisions are based on data analytics. Google created the people analytics department that assists them in collecting data and making better decisions. They measure team performance from reviews and employee surveys. Google uses data processes in the organization that turned into wisdom. Google tackles the question of a good manager by creating a “Great managers award” to encourage the employees. The nomination of managers is based on collected. The data collection and analysis actions are based on the concept of optimization of the process. these actions further facilitate in the digital transformation of the company (Programs. online. utica. edu, 2020). Using the data process, google established eight behaviours for good managers and highlighted three reasons for good roles. Google used all the collected data to measure the traits and behaviour of managers. The well developed and well-designed data processing technique conducted a survey and revised the management training programs. Some eCommerce areas of google use typical data for sales and profits. The steps to improve data practices in any organization goes through the five important stages that are listed below,

1.    Improve the data quality

2.    Develop a link between different data

3.    Conduct an analysis of your collected data

4.    Infuse the collected data with theory

5.    Implement the mentioned changes that keep track of all the outcomes

These strategies can be used to improve their data practices and it could be effective in solving the issues faced by many companies (Jachimowicz, 2017).

Question 2

What type of leadership is necessary for the organisation to enhance a data-driven approach, and how can the organisation develop this type of leadership? (Max. 300 words).

The business companies around the globe are working to implement AI, data analytics and culture of data analytics for the capabilities and superior decision-making process. the data-driven culture provide competitive benefits to the companies for important decisions. Statistical survey of 2019, driven by Deloitte concluded that 63% of the companies do not believe that they use data analytics in an accurate way and 31% of the companies say they are using data-driven strategies. The implantation of data driving strategies mainly depends on leadership. The leadership such as CEO of companies are the operational partners and they can improve visibility, prevalence, and scope. Leadership knows the areas where data driving approach make differences with highly differential results and minimal intervention (Windt, 2018). The leadership abilities and attributes are important such as innovative, creative, and better-thinking abilities of the leadership can make great differences. the use of data-backed approach, training and development programs in the company require professional development of leadership. The data-driven approach help in making processes transparent and to remove arbitrariness therefore, it requires the leaders and management with the balanced objective decision, relevant achievement, and specific personality traits.  There are different methods to train leaders in an organization to reach the required ends. Before training, it is important to ensure that they understand the relevance, importance and sanctity of the approach. The best approach is to train them with methodologies and tools. The training requires a fundamental understanding of exploding quantities of data-based approach. The solid evidence of new back up data is also required. The leadership must be able to understand customer requirement, business orientation, information technology, streamlining operations, analytical talent, and methods to invest in technologies (Cio.economictimes. indiatimes. com, 2019). Some important and successful transformations are required to drag the organization towards data-driven future and these methodologies are listed below,

1.    Communicate and explain the value of data-driven approach-based decision making to the leadership.

2.    Quality data assessment is required to secure and manage the critical resources before making any alteration in the company.

3.    Employees with skills to deal data analytical process are required to be hired in the company.  

Question 3

Specify which research method(s) you have used to answer the above questions and why you used them. In your answer, explain how the results of your research have informed your answers (Max. 300 words).

The data-driven approaches are developed in many companies and it is based on how people search for the business and make a decision for the improvement of the business. The approach uses data from different accounts by finding ads, campaigns and keywords. The present analysis is based on the survey conducted in literature. the access of companies and management is quite difficult to collect data. For the present work, there were mainly two possible approaches to collect data and extract solutions. The first approach was to conduct research based on the survey questionnaire and these questionnaires were supposed to be filled by the leadership in the organization. The second possibility was to find results from previously done researches (Cio.economictimes. indiatimes. com, 2019). The questionnaire method requires access to the leadership for their views and how they implement a data-driven approach. The literature provides a wide range of results and connection between companies, business, IT, and innovation. The previous researches used different roadmaps to lead results. The roadmaps use background concepts, new concepts, and implementation of frameworks. The background concept used in research literature was based on the data collection tools, methods, and consideration for the mixed research techniques. The previously conducted researches used a comprehensive synthesis of quantitative research and findings. The findings are extracted from quantitative and qualitative information. The array of quantitative and qualitative data provides findings of the study and pertain correlated research techniques. Some of the important typologies are used in the selected researches such as intrinsic case study, real-time data collection, collective and multiple case studies, instrumental case studies, and reports provided by companies such as Google. The results by using these methods are highly accurate and precision level increases to conclude (Study. sagepub. com, 2018).          

References on How do the data processes in the organisation enable data to be turned into wisdom, and what actions can be taken to optimise these processes to facilitate digital transformation?

Cio.economictimes. indiatimes. com. (2019). Adopting a data-driven approach to enhance EX. Retrieved from cio.economictimes.indiatimes.com: https://cio.economictimes.indiatimes.com/news/strategy-and-management/adopting-a-data-driven-approach-to-enhance-ex/70953885

Jachimowicz, J. M. (2017). A 5-Step Process to Get More Out of Your Organization’s Data. Retrieved from hbr.org: https://hbr.org/2017/03/a-5-step-process-to-get-more-out-of-your-organizations-data

Programs. online. utica. edu. (2020). Three Examples of How Companies Make Data-Driven Decisions. Retrieved from programs.online.utica.edu: https://programs.online.utica.edu/articles/data-driven-decisions

Study. sagepub. com. (2018). METHODOLOGY OF THE LITERATURE REVIEW . Retrieved from study.sagepub.com: https://study.sagepub.com/sites/default/files/Onwuegbuzie%20%26%20Frels.pdf

Windt, B. (2018). 3 leadership behaviors you need to make your organization data-driven. Retrieved from www.elsevier.com: https://www.elsevier.com/connect/3-leadership-behaviors-you-need-to-make-your-organization-data-driven

 

Rubric

The following rubric will be used to assess your submission.

 

Unsatisfactory

Limited

Accomplished

Exceptional

Question 1

The student provides a clear description of data processes that enable data to be turned into wisdom, and describes actions that can be taken to optimise these processes to facilitate digital transformation.

No submission or attempt.

Or

The student provides a very poor description of data processes and outlines inappropriate actions to optimise these processes. (0)

The student’s description of actionable data processes is limited. The actions to optimise these processes are not entirely suitable for facilitating digital transformation. (2)

 

The student provides a clear description of actionable data processes and provides appropriate actions that can be taken to optimise these processes to facilitate digital transformation. (4)

The student provides an insightful and detailed description of actionable data processes and describes appropriate actions that can be taken to optimise these processes to facilitate digital transformation. (6)

Question 2

The student provides a clear description of the type of leadership necessary to enhancing a data-driven approach in the organisation, as well as ways of developing this leadership type.

No submission or attempt.

Or

The student provides a very poor description of the type of leadership necessary to enhance a data-driven approach, and the proposed ways of developing this leadership type are inappropriate. (0)

The student’s description of the type of leadership necessary to enhance a data-driven approach is limited, and the proposed ways of developing this leadership type are not sufficiently clear. (2)

The student provides a clear description of the type of leadership necessary to enhance a data-driven approach in the organisation, and provides appropriate ways of developing this leadership type. (4)

The student provides an insightful and detailed description of the type of leadership necessary to enhance a data-driven approach in the organisation, and describes in detail appropriate ways of developing this leadership type. (6)

Question 3

The student provides a clear explanation of the research methods used and how this has informed their answers for questions 1 and 2.

No submission or attempt.

Or

The student provides a very poor explanation of the research methods used and does not provide an explanation of how this research has informed their answers for questions 1 and 2. (0)

The student’s explanation of the research methods used is limited or vague, and it is unclear how this research has informed their answers for questions 1 and 2. (4)

The student provides a clear explanation of the research methods used, and how this research has informed their answers for questions 1 and 2. (6)

The student provides a clear and detailed explanation of the research methods used, and how this research has informed their answers for questions 1 and 2. (8)

Coherence, clarity, and adherence to brief

The answers are clearly and logically structured and written in a way that is comprehensible.

No submission.

OR

The answers are unclear, incoherent, or incomprehensible. (0)

The answers show limited coherence and clarity. The writing is comprehensible but lacks logical structure. (2)

The answers are written clearly and coherently. The writing is logically structured but there is room for improvement. (4)

The answers are clearly structured and written with great clarity and coherence. (6)

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