Start with the question you are trying to answer. Clearly state the business question you want the data to solve. A goal allows you to focus your efforts on specific aspects: spotting a trend, achieving an effect, developing a product, or making a sale. This stage will help you understand what data types are essential to analyze and gain information. It will also be the basis for creating a step-by-step plan to turn dry information into valuable insights that will allow you to reduce costs, maximize profits, increase sales, reach new audiences, improve your product or service, and more. So, first, there should be a clear goal, followed by a plan. Only in this way can you count on a successful search for ideas and insights based on analytics.
Action algorithm for finding insights
The first step is to collect, clean, and save the data. Data comes in different forms and formats and from various sources and can be structured, unstructured, or semi-structured. Having collected all the necessary data, they should be cleaned of unnecessary and incorrect information. Quality data must be true, accurate, complete, consistent, and uniform.
To simplify this task, you should choose a technology or digital solution for collecting, processing, and storing data. GA4 BigQuery integration can help you with this. This solution will not allow you to stop at the data collection stage. It will lead to effective processing of the results, for which you need detailed analytics regarding the various processes that your organization faces.
The following sequence of steps looks quite simple but still requires your attention:
- Identify repetitive processes to improve analysis efficiency.
- Check the data for duplicates and missing values.
- Turn numbers into visuals. Graphs, charts, and other visuals help you better present data and tell a story with it.
- Consider your organization’s context, constraints, and specifics, and leverage the knowledge of your industry experts to gain the most valuable insights.
Don’t confuse correlation with causation, and consider historical data and trends. You have to understand precisely the meaning of the data you receive. Otherwise, wrong conclusions will lead you to inappropriate actions in the future. This is, perhaps, the most important stage to which you should devote maximum effort to form the right development strategy that will lead you to success.
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