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Today, we’re addressing a question many analysts face: When is it time to shift from Excel to R for data analysis? Without doubt, Excel (and any other spreadsheet tools like Google Sheets) is a user-friendly and adaptable tool that is ideal for the majority of data analysis tasks. However, as the complexity of your analysis […]

Ensuring customer satisfaction (CSAT) is crucial for the success of any business, but the methods we use to measure it can be problematic. While surveys are valuable tools, relying on them can create obstacles to accurately assessing the real underlying factors that drive (or deter) customer satisfaction. In fact, putting too much weight on surveys […]

In this post we are resuming our “My Favorite Analyses” series by exploring a powerful technique used by analysts to uncover underlying factors that influence consumer behavior: conjoint analysis. Whether its applied for product development, marketing strategies, or pricing, conjoint analysis offers insight into the choices customers are willing to make. From Marriott to the […]

As analysts, our constant pursuit is to find the narrative hidden in our data. And in this pursuit, regression analysis is one of our most powerful tools. It takes us beyond surface-level observations and into a place of deep, practical understanding; where we can anticipate patterns, pinpoint crucial factors, and utilize data-driven reasoning to drive […]

Understanding what truly matters to your customers is crucial for any brand. One of the most effective tools you can use to gain that understanding is the Importance-Performance Map (I-P Map). These powerful tools allow you to visually represent how consumers perceive your brand or product in comparison to competitors based on specific attributes. Today, […]

There are three top skills Data Analysts need to be successful: strategic abilities, technical proficiency, and data design expertise. Here’s a look at what those skills mean and how to build them.

The questions we ask inform the data we gather, the analysis methods we use, and in the end, the impact of our findings. A curious analyst is a successful analyst – but an analyst who pairs curiosity with rational, perceptive questions is a Rock Star.

Explore why mastering coding may not be essential for data analysts anymore, with a focus on alternative skills and the impact of AI.

It’s not an understatement to say that social media has revolutionized data analysis. In the not too distant past, gaining insights about what people thought of your brand meant data analysts had to (1) draft a survey, (2) print the survey out on paper, (3) grab a clipboard, (4) head down to the local mall […]

Today we are going to tackle a question far too many data analysts fail to consider: How do I build a plan for a data analysis project? Look, we data analysts love data. It’s the first word in the job title we use to distinguish ourselves from garden variety business people. We are finely tuned […]