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SMEs often make decisions based on instinct, but data can reveal what truly drives performance. Correlation analysis helps business owners identify which factors have the strongest impact, whether it’s marketing spend, delivery speed, or customer satisfaction. Learn how this simple yet powerful technique can guide smarter business decisions and improve daily operations.

Traditional audits catch irregular expenditure after the damage is done. By focusing on behavioural patterns, from rushed approvals to reliance on ‘comfort zone’ suppliers, public sector entities can proactively reduce waste, improve compliance, and strengthen governance.

Struggling to make sense of your data or finish your dissertation? You’re not alone. Many postgraduate students hit a wall during the analysis stage, often for fixable reasons. This post unpacks the five most common causes behind stalled research and delayed submissions, and how to overcome them with clarity and confidence.

Discover how small businesses can use salary data and measures of dispersion like quartiles, percentiles, IQR, and MAD to make fairer payroll decisions, improve workforce equity, and budget effectively, with a detailed case study by Nova Data Analytics.

This case study explores how descriptive statistics help online retailers make better business decisions. By applying measures of central tendency: mean, median, mode, and their variants, we uncover insights about sales, refunds, customer behavior, growth, and supplier efficiency, showing how simple statistics can reveal powerful business truths.

Understanding your data starts with knowing its central tendencies. In this blog, we explore Mean, Median, and Mode — what they are, how to interpret them, and why they are essential for making informed business decisions. Whether your data is skewed, normally distributed, or full of outliers, these measures help you uncover the story behind the numbers.

Explore the vital role of various types of data analysis in addressing drug-resistant tuberculosis in Southern Africa. This blog breaks down descriptive, diagnostic, predictive, prescriptive, and exploratory analyses through a real-world healthcare study, illustrating how data drives insights and solutions for complex public health challenges.

Learn why asking the right questions is the foundation of effective data analysis. Explore real-world case studies where wrong questions led to costly mistakes.

Defining the problem is the most important step in data analysis. A clear problem definition helps researchers, postgraduate students, and analysts avoid wasted effort, refine their focus, and ensure their findings address real issues. Learn how to distinguish perceived vs real problems, broad vs specific problems, and why revisiting the problem throughout your analysis leads to better results.

Welcome to Nova Data Analytics, where clarity meets confidence in every analysis. Whether you’re a student, researcher, or professional, this blog helps transform complex data into clear, meaningful insights. Join us to learn foundational principles, practical tools, and tips to ask the right questions, choose the best methods, and communicate your findings with confidence. Your journey to smarter analysis starts here.