The CrossTab Chronicles: Unveiling the Secret Relationships Hiding in Your Business Data
crosstab analysis
Michael Wiryaseputra 6 min read
Michael Wiryaseputra 
Trend Analysis: Discovering the Direction Your Business is Heading
Predicting Your Next Best-Seller What if you could see not just which products are selling today, but which ones will dominate your sales tomorrow? What if buried in your historical sales data are clear signals pointing to the future: rising customer demand, declining interest in certain categories, and the exact moments when buying patterns shifted? Think about monitoring your daily product sales. You see numbers flash by: the foundation based of your cosmetic brand sold 1.270 units, then 1.3
Michael Wiryaseputra 5 min read
From Numbers to Narratives: Turning Correlations into Business Decisions with ARIF
In every organization, data is abundant. Sales figures, customer satisfaction ratings, operational costs, and marketing metrics all accumulate daily, filling dashboards and spreadsheets. Yet the mere presence of data is not enough to guide strategic choices. The real challenge lies in understanding how these numbers relate to one another. This is where correlation analysis plays a crucial role. Correlation is a statistical technique that shows whether two variables move together, and if so, in
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Cornellius Yudha Wijaya 7 min read
Undercover Regression Analysis: Decode Your Customer's Hidden Secrets
Imagine you're a detective, but instead of solving crimes, you're uncovering the mystery behind what makes your customers tick. What drives their satisfaction? Which factors secretly influence their behavior? What hidden patterns are lurking in your data, waiting to transform your business strategy? Welcome to the world of regression analysis – your ultimate undercover tool for understanding customers better than they understand themselves. What is Regression Analysis? The Detective's Magnify
Michael Wiryaseputra 4 min read
Beyond Pivot Tables: A Professional's Guide to Excel AI Analysis
If you’re a business analyst, marketer, or manager, there’s a good chance you live in Excel. It’s your home base for everything from financial models to campaign KPIs. You’ve got VLOOKUPs down cold, can spin up a PivotTable before your coffee cools, and your dashboards actually tell a story. Still, you’ve hit a ceiling. The data keeps piling up, and the ask has shifted from “what happened?” to “why did it happen and what should we do next?” You know AI could help, but Python, R, and custom algo
Michael Wiryaseputra 3 min read
Beyond ChatGPT: The Smart Leader's Blueprint to AI Tools for Business Success
Modern business leaders face a tough challenge: they have access to tons of data, but that data doesn't always lead to clear answers. Traditional analysis methods have been useful, but they can be slow, expensive, and require specialized technical teams that many companies can't afford to hire or expand. Instead of building bigger technical departments, many smart companies are finding that the right AI tools for business can help their leaders make better, data-driven decisions without needin
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Cornellius Yudha Wijaya 3 min read
Sentiment Analysis: 7 Steps to Turn Survey Data into Insight
Sentiment analysis has become a cornerstone of modern survey data analysis, allowing organizations to quickly gauge how respondents feel without reading every comment by hand. Industries from FMCG and retail to research agencies and automotive rely on surveys for customer feedback, but open-ended responses can be tough to interpret at scale. These free-text answers are unstructured and can easily become overwhelming to analyze in large. Manually sentiment labelling hundreds of long responses is
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Cornellius Yudha Wijaya 7 min read
Why Analyzing Text Feedback Is Harder Than It Looks
Meet Maya, a brand manager at a popular beverage brand, perhaps your favourite one. She just launched a new packaging design for the brand and is now reviewing feedback from surveys and social media. She knows this feedback matters, every comment is a signal. But making sense of it? That’s the hard part. Most companies collect open-text feedback but underestimate how messy it gets when you try to extract patterns from it. Unlike rating scales, open answers come in unpredictable forms. Some pe
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Cornellius Yudha Wijaya 3 min read
