Simplified data solutions for complex business challenges.

Some details, like Google Analytics and Google Advertising, fit together naturally. But, like email and customer relationship manager info, not all streams match perfectly. This is where the aggregation of data comes into play.

What is the aggregation of data?

To paint a better image of the marketing and business results, data aggregation is the way to gather data from multiple sources. In the simplest form, aggregation is collecting volumes of data from a given database and arranging it into a more consumable and detailed medium. To summarise data and draw observations based on data-rich results, data aggregation can be implemented at any size, from pivot tables to data lakes.

Why is data aggregation significant?

You take crucial steps towards achieving the best result that reaches your goals by aggregating and modelling your data. In most situations, after the cost of marketing and other expenses, this would be something such as return on investment or calculation to establish the real financial return.

Data aggregation is in practice for countless years in society. The data aggregation size and ability have increased exponentially with computation and technology developments, such as AI and machine learning.

For each triggered input and output, data is continually changing in our technologically advanced environment and getting more convoluted. Information is one of the most precious currencies of our time, but it is ultimately worthless without structure, segmentation, and comprehension.

Both marketers and agencies who have ever tried to handle marketing campaigns across several different channels like Facebook, Adwords, and more know-how daunting it can be at times to aggregate all the data from many places

Every week, the entire data aggregation process will take over 20 hours in an exemplary business process. Fortunately, there are multiple solutions in the form of tools and software.

Data aggregation plays an essential role in the digital enterprise-wide real-time operations scheme. Examples of data aggregation can be as easy as gathering the number of steps you took to work on your commute this week and as complicated as hailing a car to your place within minutes using a ride-sharing app. Although the second alternative can sound easier from an end-user perspective, it is incredible to have the amount of information computed and aggregated to make the ride available.

Data aggregation implementation  has become highly important due to the increasing accessibility to information and the importance of personalisation metrics. The usage case is industry-agnostic and is also essential to the progress and continuous improvement of worldwide corporate practises.

Also read - How are the data software help to organizations and individuals