Description

Introduction to Analytics

Dec 2025 Examination

 

 

Q1. A large healthcare provider is facing challenges in analyzing vast amounts of unstructured patient data, including electronic health records, diagnostic images, and real-time monitoring data. Traditional visualization methods are proving inadequate for identifying disease patterns and resource allocation needs. The organization’s analytics team is exploring advanced visualization tools like heat maps and network diagrams to uncover hidden trends and relationships in the data, with the goal of improving patient care and public health interventions. In the context of big data, how should a healthcare organization apply advanced visualization tools such as heat maps and network diagrams to derive actionable insights from unstructured patient data and improve public health outcomes? (10 Marks)

Ans 1.

Introduction

Healthcare organizations today are dealing with enormous amounts of data that are not only structured but also increasingly unstructured, such as electronic health records (EHRs), diagnostic images, clinical notes, and continuous monitoring feeds from wearable devices. Traditional visualization tools like bar graphs and line charts often fall short in uncovering hidden patterns and interconnections within such complex datasets. Advanced visualization tools, including heat maps and network diagrams, provide new opportunities to reveal trends that can improve decision-making in both patient care and public health management. By enabling professionals to identify disease clusters, monitor population health in real time, and optimize resource allocation, these tools transform raw unstructured data into actionable

 

Its Half solved only

Buy Complete assignment from us

Price – 190/  assignment

NMIMS Online University Complete SolvedAssignments  session DEC 2025

Last date 16 OCT 2025

buy cheap assignment help online from us easily

we are here to help you with the best and cheap help

Contact No – 8791514139 (WhatsApp)

OR

Mail us-  [email protected]

Our website – www.assignmentsupport.in

 

Q2(A). An e-commerce startup has implemented real-time dashboards to track KPIs such as sales, website traffic, and customer satisfaction. The leadership team reviews these dashboards daily to guide decision-making. In the context of a fast-growing business, what are the potential benefits of using descriptive analytics dashboards for monitoring KPIs, and how can these dashboards help the organization identify trends, improve performance, and respond effectively to changing market conditions? (5 Marks)

Ans 3a.

Introduction

In a fast-growing e-commerce startup, the ability to track performance indicators in real time becomes essential for survival and success. Dashboards that focus on descriptive analytics provide a visual and dynamic way of monitoring sales, website traffic, and customer satisfaction on a daily basis. By offering a clear picture of what has already happened, these dashboards help leadership teams stay updated, recognize patterns quickly, and take actions that keep the organization aligned with both business objectives and changing customer

 

Q2(B). A digital banking platform uses prescriptive analytics to provide personalized financial products, targeted offers, and proactive support. While this improves customer experience, some customers are concerned about how their personal data is used. How can the bank use prescriptive analytics to enhance customer satisfaction while protecting data privacy and building trust? (5 Marks)

Ans 3b.

Introduction

Digital banking platforms increasingly rely on prescriptive analytics to provide tailored solutions to customers. By analyzing customer behavior and financial data, banks can recommend suitable products, deliver targeted offers, and anticipate customer needs. While these features enhance convenience and satisfaction, they also raise questions about privacy and the ethical use of personal information. For prescriptive analytics to create true value, banks must strike a balance between personalization and protecting customer data, ensuring transparency and trust remain at the core.

Concept and Application

The effectiveness of prescriptive analytics lies not only in its ability to recommend actions