Definition:
Holistic is something that is related to or that deals with complete systems, rather than focusing on their individual pieces one by one. In a holistic analysis, all the data from a website is gathered to capture and present a universal view of what is really going on on the page, in a set.
Table of Contents
Holistic analysis process
You start by gathering and measuring outcome on the web to try to predict the future. Thus, the processes that allow the marketing team to create repeatable results, which scale quickly as a business grows and provide a hint of where it will be in the next quarter or until the end of the fiscal year are devised.
Data collection
The first step is the collection of data of interest. Data can be collected from multiple sources the important thing is to identify where the data is located and how to collect it.
Data integration
Once the information is collected, it is necessary to develop an integration strategy to ensure the consistency of the data collected.
Data presentation
Through different forms of presentation you can find relevant trends and metrics. Dashboards are especially useful for this phase.
Data interpretation
The analysis should be quick and simple. Although sometimes it is necessary to delve deeper into the data.
Data maintenance
It is important that the data is useful in the long run. Take care of the information to use it later and continue to maintain quality and consistency.
Advantages of holistic analysis
With this type of analysis, you get a tactical-level view of the return on investment and delving into specific activities, segments, and channels that are driving growth. When you search across all touchpoints, you can understand customer behavior and predict what drives them to engage with your company. Normally when an analyst is confronted with a familiar object, there is a tendency to adopt the holistic approach; when faced with an unknown object, the analytical approach is taken.
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