Fundamentals of Big Data & Business Analytics April 2026

Description

Fundamentals of Big Data & Business Analytics

Apr 2026 Examination

 

 

Q1. You are the data strategist for NexaTech Solutions, a tier2 IT company whose CTO plans to transition the organization toward Big Data and predictive analytics to enhance client offerings and improve operational efficiency.

Explain the fundamental concepts of Big Data and Analytics, and discuss how these concepts can be applied to support NexaTech’s transition to predictive analytics capabilities. (10 Marks)

Ans 1.

Introduction

As organizations move deeper into digital transformation, data has become the primary driver of competitive advantage and strategic decision-making. For NexaTech Solutions, a tier-2 IT company aiming to adopt Big Data and predictive analytics, this transition represents an opportunity to move beyond traditional service delivery and offer high-value, insight-driven solutions to clients. Big Data enables companies to handle massive volumes of structured and unstructured information, while analytics converts raw data into actionable intelligence. However, this shift requires not only technical capability but also organizational readiness, process redesign, and cultural adaptation. As

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Q2. VeloCabs, a start-up cab service enters a congested urban market. The consultancy suggests a large social push with introductory offers and sentiment-driven ad targeting. They propose text analytics to surface complaints and influencers, plus automated replies. With limited budget, the company considers one-off monitoring and reactive PR. Competitors could launch false-review campaigns. The operations team can scale driver availability, but fears demand spikes. Investors demand customer acquisition targets while founders prioritise long-term brand integrity.

The company plans a high-impact social media campaign guided by text analytics and sentiment monitoring. The analytics consultancy advises aggressive outreach but warns of malicious reviews and reputation risks. Budget constraints limit continuous monitoring and rapid response.

Evaluate the campaign strategy and analytics design, justify required investments in monitoring, mitigation and personalization, and recommend ethical safeguards, KPI framework, and contingency plans to protect brand and ROI? (10 Marks)

Ans 2.

Introduction

Entering a congested urban cab market places VeloCabs under immediate pressure to gain visibility, acquire customers quickly, and establish trust in a highly competitive environment. Social media campaigns supported by text analytics and sentiment monitoring offer a cost-effective way to understand customer perceptions and shape targeted communication strategies. However, aggressive outreach without proper monitoring and governance can expose the brand to reputational risks,

 

Q3 (A) NovaBank, a major digital-first bank, is expanding its Big Data and analytics capabilities to improve customer insights, risk management, and personalized financial services. As the data volume increases, the bank’s leadership is concerned about the importance of data governance, privacy, and ethical use of data.

Explain the importance of Data Governance in Big Data and Analytics for NovaBank. How can effective data governance enable better decision-making and operational efficiency within the bank? (5 Marks)

Ans 3a.

Introduction

As NovaBank expands its digital-first operations, the volume and complexity of financial data continue to grow rapidly. Big Data and analytics enable the bank to generate deeper customer insights, improve credit risk assessment, and deliver personalized financial services. However, without strong data governance, these capabilities can lead to inconsistent data quality, regulatory risks, and inefficient decision-making. Data governance provides the structural framework that ensures data

 

3 (B) NovaBank, a major digital-first bank, is expanding its Big Data and analytics capabilities to improve customer insights, risk management, and personalized financial services. As the data volume increases, the bank’s leadership is concerned about the importance of data governance, privacy, and ethical use of data.

Discuss why Privacy and Ethics are critical when NovaBank uses customer data for Big Data and analytics initiatives. Illustrate how ethical principles and privacy safeguards can protect customers and strengthen trust. (5 Marks)

Ans 3b.

Introduction

As NovaBank uses advanced analytics to personalize financial services and improve operational performance, customer data becomes one of its most valuable and sensitive resources. The use of Big Data introduces ethical challenges related to privacy, consent, and responsible data usage. Any misuse or data breach can severely damage customer trust and regulatory standing. Therefore, privacy protection and ethical governance must be integrated into analytics strategies. For NovaBank,