The volume of data generated is growing exponentially, and this has become a complex challenge for marketers. According to the report “ How Big Is Big? 85+ Big Data Statistics You Should Know in 2023 ”, 61% of companies believe that the rapid growth in data volume is limiting their ability to take advantage of the data they obtain.
The same study indicated that more than 80% of information technology decision makers agree that their analytics projects are delayed due to the unavailability of data in an appropriate form.
Anyone who wants to be successful in business will have to deal with an exponential amount of information to understand their audience. And modeling is the first step in data intelligence focused line data on quick business decisions that optimize marketing costs in agencies.
Working without modeling is working without intelligence
To explain in more detail the importance of data modeling, we spoke with Eduardo Munhoz, Project Management Manager at ZAHG Marketing Digital. Check it out.
ZAHG | Why is modeling so important in this scenario of growth in the volume of data generated?
Eduardo Munhoz | Not working with data modeling leads to a lack of vision when working on a campaign. Therefore, there is no way to evaluate results, the proposed actions taken, what type of segmentation works best for your target audience or issues related to seasonality, time slot and days of the week. Working without modeling is basically working without intelligence. Without vision, money is actually lost, because the investment is not returned, seen, reformulated or even not reworked as it should be. Prior planning is necessary to define how the pattern will be set up. This makes it much easier to later evaluate the health of the campaign.