Question: data-driven decision making course , pwc , coursera note: rubric question it's for grading my answer in each section RUBRIC How thorough is their data

data-driven decision making course , pwc , coursera
note: rubric question it's for grading my answer in each section  data-driven decision making course , pwc , coursera note: rubric question
it's for grading my answer in each section RUBRIC How thorough is
their data analysis plan? 0 points There is no mention of data
analysis techniques. 1 point They are only using one type of data
analysis. (Quantitative or Qualitative) 2 points They addressed both Quantitative and Qualitative
data. RUBRIC How well did they identify the problem? 0 points They
did not describe a business problem. 1 point They provided only a
basic description of the problem 2 points Their description of the problem
shows that they have a deeper appreciation for the issues at hand
This assignment will give you an opportunity to create a data and
analytics plan for a present day business problem. You have two options
for selecting your topic. (1) You may select one of the topics
provided below or (2) you may provide your own business topic based
on current news stories. If you choose to use your own business

RUBRIC How thorough is their data analysis plan? 0 points There is no mention of data analysis techniques. 1 point They are only using one type of data analysis. (Quantitative or Qualitative) 2 points They addressed both Quantitative and Qualitative data. RUBRIC How well did they identify the problem? 0 points They did not describe a business problem. 1 point They provided only a basic description of the problem 2 points Their description of the problem shows that they have a deeper appreciation for the issues at hand This assignment will give you an opportunity to create a data and analytics plan for a present day business problem. You have two options for selecting your topic. (1) You may select one of the topics provided below or (2) you may provide your own business topic based on current news stories. If you choose to use your own business topic, please do not share any proprietary or confidential information. Once you have selected a problem you will need to prepare a data analytics plan and submit it here. Follow the questions presented to you under the "My submission" tab to structure your plan. In the section you will find a link for "Preview grading criteria" this will let you know what your reviewers will be looking for in your answer. You are welcome to use any resources necessary to find out more about the topic within the scenario. Remember you do not have to conduct actual data analysis, you only have to outline your plan. Once you have completed your assignment, please review 3 submissions from your peers and provide feedback based on the rubric criteria. What is your approach to developing a Hypothesis? (Include your Hypothesis) What data would you collect? How would you analyze the data? How would you present the information to the client? RUBRIC Did the first action step involve engaging stakeholders? 0 points They did not have a plan to engage stakeholders 1 point They mentioned confirming their understanding of the problem 2 points 5P They had a plan to engage stakeholders in order to gather perspective and build consensus RUBRIC The insights consider past outcomes and future business 1pointYes 0 points No The insights consider future challenges. 1point Yes HC 5P 0 points No Insights are linked to financial and operational metrics 1pointYes 0 points No Prniert Title * 8 What is the business problem you are trying to solve? Your answer needs to be a little bit longer. Write a few sentences to complete your assignment. What's the first step you'll take? Final Project Case Study \#2 Client's challenge: Global consumer packaged goods company A global consumer packaged goods (CPG) company has set an ambitious goal for itself: double revenues while keeping the costs minimal within eight years. Of course, the leadership knows that such rapid growth won't happen with guesswork, tribal knowledge and rough estimates. In order to maximize the performance of thousands of salespeople at thousands of worldwide distribution points, they will need to employ advanced business analytics techniques to analyze massive quantities of data being generated at ever-increasing speed. Like all CPG firms, the company faces the challenge of making sure that day in and day out, the right products, in the right amounts, were on the right shelves at the right time. Complicating the issue is the daunting fact that the company is working in every corner of the globe. The company deals with a diverse set of global contacts and regional business units who share no common skill set, data platform, or analytics strategies. Creating one common platform that can collect incoming data, analyze it, and send insights about inventory and sales issues back into the field to any smartphoneequipped sales rep will be a significant undertaking. Powering the sales force to make smart micro decisions that would roll up into better macro performance was absolutely necessary if the company was to stay competitive in its many markets and meet its goals for growth. How would you present the information to the client? What insights did you develop? What recommendations would you make? Coursera Honor Code Learn more I understand that submitting work that isn't my own may result in permanent failure of this course or deactivation of my Coursera account. RUBRIC How extensive was their data collection plan? 0 points They did not list specific data sources 2 points They only considered one type of data (Structured, Unstructured, Semi-structured) 3 points They considered multiple types of data (Structured, Unstructured, Semi-structured) RUBRIC How well defined are the hypotheses? 0 points The hypothesis is just a rephrasing of the problem. 1 point They present only one hypothesis. 2 points They started with multiple hypotheses. Did they discuss what data is available? 0 points There is no mention of data 1 point They mentioned needing data but were not specific 2 points 5P They considered what data was available to confirm or disprove their hypothesis 0 points No Recommendations include reporting of Key Performance Indicators or other metrics 1 point Yes 0 points No 1 point Yes 0 points No Recommendations are tied to long term business objectives 1pointYes OpointsNo Study \#I Client's challenge: Leading financial institution - Creating and implementing a global Anti-Money Laundering (AML) risk score for liability clients - Harmonizing AML risk scoring standards across business units and regions - Analyzing and risk scoring tens of millions of liability accounts A leading financial institution needs to develop a globally consistent Anti-Money Laundering (AML) risk model to comply with a consent order from a banking regulator. Time is of the essence not only because of a tight deadline imposed by the regulator but also because of the scale of the project: the solution needs to enable risk scoring for tens of millions of deposit account holders worldwide. The financial institution's previous AML risk models have been built around business units and regions. Each business unit uses its own qualitative methodology with some regional variations woven in to apply a set of rules to the customer data. Coming up with a single global solution will be a challenge. Simply gathering stakeholders in a room and having them hash out their differences isn't likely to result in a consensus. The financial institution needs expert help to come up with a solution that would meet the requirements of the consent order within 13 short months. Failure to comply might result in fines, penaltie and other sanctions. RUBRIC Does their presentation plan include visualization? 0 points There is no mention of vizualization 1 point They mention visualization but there are no specific mentions of formats or technology 2 points They discuss visualization and give specific format or technology approaches

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