Main benefits of the methodology

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It is often unclear how to define the goals, how to collect the data, and what data we need. There is also a lack of knowledge and experience in analyzing them correctly and drawing conclusions based on the analysis. At the same time, the relationship between marketing and advanced analytics is inseparable, and planning marketing campaigns based on the right data is fundamental. Why is big data analysis so important? Contents: Diagnostics Analysis Quantity Does Not Equal Quality Data Cleansing Integration and Automation Campaign Optimization Summary First: Diagnostics The first step in starting to work with data effectively is to examine what data is available to your company at this moment and where it comes from.
  
The simplest way is to compare a company's current activities in the field of data collection with our possibilities in this field. Initiating an action would be to combine data from systems or other business analytics tools (data related to customers, demographics or transactions) with behavioral data photo retouching and website traffic data (such as usage and so-called distributed data from marketing automation campaigns or social media . These are the so-called first-party data, that is, the absolute basis of data collected by the company itself. But it is also absolutely insufficient and needs to be supplemented, because it is difficult to imagine that the data collected by the company alone can give a complete picture of the situation.



Beyond this , organizations can and should use data from partners (so-called second-party data), i.e. data that is structured similarly to first-party data but belongs to another entity. For example: a corporate advertiser has access to its data under an agreement with a publisher database and information about users, so that it can expand its reach to new groups of recipients while better targeting its message. Second-party data should provide the absolute foundation, that is, first-party data. Another way to build a database for advanced analytics campaigns An important element is the verification of external data (so-called third-party data), which often comes from many online and offline sources. Big data analytics are based on these data.