Reference no: EM133103986

Data Governance - Ascencia Business School - Abu Dhabi

Assignment 1

Question 1: Looking from a strategic perspective, how do organizations benefit from AI? How do you successfully deliver AI projects, covering everything from scoping to AI models and integrating them into the overall IT landscape?

Question 2: Which quality assurance measures help validate the AI models' accuracy and their integration in the overall IT landscape?

Question 3: What are the technical options to store data and deliver the data to the training environments for data scientists or the production systems?

Question 4: How can organizations protect data, information, AI models, and system environments?

Question 5: How do data-driven companies innovate with AI? Why might it be a bad idea to broaden the scope of existing data warehousing (DWH) and business intelligence (BI) teams to cover also AI services?

Assignment 2: Case Study

Case Study 1 - Stores Sales Forecasting

Background

One challenge of modeling retail data is the need to make decisions based on limited history. If Christmas comes but once a year, so does the chance to see how strategic decisions impacted the bottom line. Data Scientists are provided with historical sales data for 45 Walmart stores located in different regions. Each store contains many departments, and they must project the sales for each department in each store. To add to the challenge, selected holiday markdown events are included in the dataset. These markdowns are known to affect sales, but it is challenging to predict which departments are affected and the extent of the impact.

II. Business Terms
Promotional Markdowns: These are discounts that derive from any type of promotional sale such as a temporary price reduction, circular promotion, coupons, endcap promotions and more.

Consumer Price Index - CPI: The Consumer Price Index (CPI) is a measure that examines the weighted average of prices of a basket of consumer goods and services, such as transportation, food, and medical care. It is calculated by taking price changes for each item in the predetermined basket of goods and averaging them. Changes in the CPI are used to assess price changes associated with the cost of living; the CPI is one of the most frequently used statistics for identifying periods of inflation or deflation. CPI is widely used as an economic indicator. It is the most widely used measure of inflation and, by proxy, of the effectiveness of the government's economic policy. The CPI gives the government, businesses, and citizens an idea about prices changes in the economy, and can act as a guide in order to make informed decisions about the economy.

Case Study II - AI Driven HCP Engagement

I. Background

A Danish multinational pharmaceutical company is a global healthcare leader in diabetes care. In addition, the company has a leading position within areas such as haemostasis management, growth hormone therapy and hormone replacement therapy. It manufactures and markets pharmaceutical products and services that make a significant difference to patients, the medical profession and society. The company is exploring data driven advanced analytical tools such as using AI to improve its HCP Engagements.

I. Business Challenges

To provide different types of predictions, for instance: on sales, prescribing behavior, dynamic target lists, best channel/time/message based on market/product/competitor/health/disease data and sales data at an account level. Most interested in creating dynamic target lists.

The focus of the category is to create dynamic sales target lists and provide sales prediction on a regular basis at an account level to estimate level of return and business impact. The category is aimed to be an AI-driven engagement focusing on the following (not limited to): Leverage activity and CRM data to predict the best time to engage with priority HCPs, Use AI to recommend the best channel for engagement to drive optimal customer journey, Prioritize most relevant content using tagged content as well as dynamic HCP profiling and engagement outcomes & Prioritize accounts by combining patient, prevalence and treatment data with environmental data. The existing data needs to be supplemented by relevant external data.

Attachment:- Data Governance.rar