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In the realm of marketing, personalisation is key. By tailoring your company’s products and services to the unique needs of your customers, better content will be developed, customer experience will be enhanced, and revenue will significantly increase. In order to do this, marketers require one important tool: data. But with big data becoming more and more prevalent in today’s digital society, marketers need a way to effectively organise such data into a coherent and comprehensible manner.
Big data is immense, both in volume and complexity. As such, it can often be a difficult resource to store, manage, and utilise effectively. To address this obstacle, however, the practice of data integration has been developed, whose role is to prevent the mismanagement of big data by consolidating it. This blog will focus on the challenges of data integration, but before doing so, we will provide a basic outline and example of the data integration process.
From the sweet shop to the multinational business, data can be a headache. The disparity between interdepartmental requirements and the need to collate it into quantifiable and understandable information in the pursuit of growth is something with which all businesses have to contend. But there is an answer…
