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In the dynamic landscape of business intelligence, Looker's traditional approach and promise to "drive better outcomes through smarter data-driven experiences" might seem appealing. However, the reality is often less rosy. The intricate expertise, substantial time, and significant resources required to extract and deliver insights from your data using Looker can

Introduction Data distributions are a crucial element in data analysis, used to evaluate the characteristics of a dataset.  Data distributions can help identify patterns and trends and provide insight that is used to design and implement an effective data analysis strategy. That’s why many mistakes in data analysis start

In an era where data-driven decisions are crucial to success, Traditional BI tools such as Tableau, PowerBI, Looker, etc., despite their merits, are unable to keep pace with the needs of business's today. In this post, we delve into the limitations of these conventional BI tools, and unveil how Comparative’

Everyone who ever did data analysis knows how outliers can affect results. Therefore many analysts are trying to identify and remove them from the dataset. First, let's answer a question - why is it crucial to detect outliers? One of the reasons is that in many statistical tests, the outlier

The Power of Objective Insights Sharing a compelling story and engaging your audience is important, but to establish credibility, one must back up a story with proof. According to a study published in Communication Research, statistical evidence is more persuasive than anecdotal evidence in influencing beliefs. Members of organizations are