The value of manual analysis
Posted: Sat May 24, 2025 6:23 am
Although everyone understands the importance of data for canada phone number list a business, many professionals feel intimidated by the complexity of the most advanced tools and techniques. Can you relate to that? Well, let me tell you, there's a smokescreen blocking many things that we're all capable of analyzing, even with very little training. Our minds spend all day analyzing: Which supermarket product is more profitable, the individual one or the 6-pack? How can I lower my monthly expenses at home? What's the fastest way to get to the movies? How much have they taken advantage of that friend of yours who always needs the latest iPhone model?
There's a perception that data analysis is the exclusive domain of technicians. And this creates invisible barriers for those who want to get started in the world of data analysis. The reality is that anyone can perform analysis with accessible tools like Google Analytics 4, Looker Studio, or even Google Sheets. You don't need advanced programming knowledge, a particularly mathematical mind, or expensive software licenses to start extracting value from our metrics and dimensions.
The key to this is to focus and not get lost in the sheer madness of possibilities available to us. We must concentrate our attention on a very small amount of data, those that allow us to draw conclusions and gain small business insights. These are what we call business objectives, key metrics, and KPIs. By viewing them from different perspectives, we learn things from those numbers. Small explanations that, taken together, ultimately reveal what a business needs to improve. It's not about indiscriminately processing large volumes of data, but rather about strategically finding patterns that explain and allow us to understand what is happening and why . Manual analysis allows us, with very few tools, to approach the data in a more personal and intuitive way, which makes it easier to identify patterns, trends, and anomalies that might otherwise go unnoticed. By working directly one-on-one with your data, we develop a deeper understanding of the information and how it relates to business objectives.
Insights (the "whys" that explain what's happening) are the ultimate goal of any analysis. Various manual techniques allow us to achieve many of them quickly and efficiently. We'll get straight to the point and get concrete answers to our questions. They may be simple questions, yes, but that's where we should start asking them.
There's a perception that data analysis is the exclusive domain of technicians. And this creates invisible barriers for those who want to get started in the world of data analysis. The reality is that anyone can perform analysis with accessible tools like Google Analytics 4, Looker Studio, or even Google Sheets. You don't need advanced programming knowledge, a particularly mathematical mind, or expensive software licenses to start extracting value from our metrics and dimensions.
The key to this is to focus and not get lost in the sheer madness of possibilities available to us. We must concentrate our attention on a very small amount of data, those that allow us to draw conclusions and gain small business insights. These are what we call business objectives, key metrics, and KPIs. By viewing them from different perspectives, we learn things from those numbers. Small explanations that, taken together, ultimately reveal what a business needs to improve. It's not about indiscriminately processing large volumes of data, but rather about strategically finding patterns that explain and allow us to understand what is happening and why . Manual analysis allows us, with very few tools, to approach the data in a more personal and intuitive way, which makes it easier to identify patterns, trends, and anomalies that might otherwise go unnoticed. By working directly one-on-one with your data, we develop a deeper understanding of the information and how it relates to business objectives.
Insights (the "whys" that explain what's happening) are the ultimate goal of any analysis. Various manual techniques allow us to achieve many of them quickly and efficiently. We'll get straight to the point and get concrete answers to our questions. They may be simple questions, yes, but that's where we should start asking them.