Business Questions and Digital Analytics: A Magnet for Success

The relationship between information and decisions is key, and this article explores how business questions drive the analysis process and how data exploration and the right methodology are essential for obtaining precise, clear and highly valuable answers.

The questions we ask play a fundamental role in how we analyse data and make decisions. In fact, questions act as a cognitive filter, directing our attention towards certain aspects and perspectives while leaving others aside.

That is why, if we ask broad, open questions, we are more likely to get a holistic view of the situation, allowing us to consider multiple variables and contexts. On the other hand, if our questions are specific and narrow, we could overlook relevant information that does not fit within the predefined framework.

Questions also influence the type of data we seek to collect, since our expectations and objectives affect the way we design research or gather information. Ultimately, the quality of our decisions is entirely tied to the quality of the questions we ask, as these shape the perspective from which we approach data and, consequently, the course of action we choose to follow.

The foundation of business questions in data analysis

In the field of data analysis, formulating specific questions is essential for discovering patterns and making informed decisions. These questions are the engine that drives the process and ensures that data becomes actionable insights. Here are some examples of questions that seek to identify anomalies, differences or correlations:

• Is the current conversion rate consistent with the historical patterns of this period?

• Has the source of customers changed compared to data collected a year ago?

• Are the products selling the most also the most searched for by users?

• Is there a relationship between weather conditions, such as rain, and downloads of our application?

• Is there an increase in visits to our website when a football match is played?

Data science and its focus on business questions

In the field of data science, the focus on business questions remains crucial for generating meaningful insights. Closed questions, which accept yes or no answers, also play an important role in this process. Here are some variations of closed questions:

• Is it likely that the customers we have recently acquired will buy again in the next year?

• Could we increase the conversion rate by removing shipping costs?

• What is the most effective way to present a discount: directly in the price or as a percentage?

• Are there potential fraud risks associated with certain customers paying by credit card?

• Is creating a social media profile expected to generate an increase in visits to our website?

Asking good business questions will result in clear, focused and highly valuable answers.

Data exploration and the precision of questions

Thorough data exploration is essential for understanding complex relationships and subtle patterns. Questions that involve numbers or percentages are essential for quantifying impacts and projecting future results. Here are some versions of quantitative questions:

• How would our business be affected if we stopped advertising on Facebook?

• Can we estimate our sales for the next year?

• If we increase the price of product X by 5%, how would that impact sales?

• What increase in sales can we expect by improving our purchase process?

• In how long is the current decrease in growth expected to make our business unviable?

• What correlation is there between removing shipping costs and an increase in revenue?

• How many customers could we lose to our competitors in the next quarter?

• What is the expected return of improving our website's navigation?

The importance of having data analysis experts

As we have discussed, the questions we ask play a crucial role in how we analyse information and make decisions. And this is where data analysis experts come into play to drive business success. These professionals are not only specialists in formulating relevant questions — they also know how to choose the most important business metrics and apply precise analytical techniques.

By working with a digital expert partner in analysis, such as Boost, you ensure that the questions asked are truly strategic and aimed at obtaining valuable information. They can also explore information from different perspectives, uncovering patterns and trends that might go unnoticed by others.

Thanks to their experience, they manage to give complete and contextualised interpretation to the data, which in turn translates into more informed and accurate business decisions. In short, combining precise questions with data analysis expertise is like having an ace up your sleeve when it comes to achieving success for an online business where information plays a fundamental role.

Never underestimate the power of asking the right questions!