Data insights and data points are two factors that are important when it comes to data. A data point is a distinct and individually separate unit of information. Any single factor is a data point. A data point is usually used in an analytical and statistical context to be represented graphically or numerically. The data insights are the understanding of what was learned from the data and how it will improve the brand (Links to an external site.). After brands gather the data insights, companies can change their actions or responses with the knowledge gained. The insights are the values gained and discovered through the process of analytics. Brands can have tons of data points, but they need to truly organize and invest time into the data so they can gain valuable insights and information. Identifying trends and unique data points help back-up any further research that needs to be done. Both data points and data insights have to be valuable and unique to be able to get accurate results. Usually, companies focus on the outcome of a data point by using past data and use new insights to learn new patterns and create different mathematical models to improve the brand as a whole. (Links to an external site.)
Both data points and data insights have to be intelligent and effective so they can provide the best output of the research being done. (Links to an external site.) For example, you can see it as a painting; all the dots and strokes of the paintings are the data points. Individually they don’t mean a lot, but all together, they make a beautiful piece of work. The insights are all the interpretations people gather from the paintings once it’s done. All the dots and strokes create shapes and figures that are converting a message to the audience. Data points and data insights are both useful and actionable because they are what make the research become a reality for a brand. Both are necessary steps that have to be done for the research to provide important and accurate results, and a company can keep on improving the bottom line.