The amount of data generated worldwide by all kinds of systems has been explosively increasing in recent years. And even though this growth has already been astounding, the projections show no signs of stopping – the volume of data available worldwide is expected to double in the incoming years.
But the data alone is not that meaningful. It requires proper processing/analytics/reporting in order to truly harness its power and derive valuable business insights from it. Multiple enterprises and organisations are struggling with that aspect, especially due to specific technical challenges when dealing with high volumes and unstructured data.
Datarabbit regularly advises on a regular basis on such topics. As a part of one of our engagements, we were designing and implementing a system exactly addressing such problems and needs. Our partner, as a platform providing personalised marketing solutions to increase the customer engagement of their clients deals with significant loads of data from a variety of sources. But in order to bring their strategic insights to the next level, both for themselves, as well as their customers, they needed a system, which would process and aggregate the data as well as provide unified reporting and analytics – and which Datarabbit prepared.
Our team did that, by building a solution that consisted of two parts. The first one was responsible for data processing and aggregation. We created a data warehouse, with storage and computing capabilities capable of efficiently processing data coming from all sources of interest. Later, these sources were connected with the warehouse through ETL pipelines, which ensured that the data is automatically updated on a regular basis and always available to the final consumers in the recent enough version. These were implemented utilizing AWS Redshift and Glue technologies. The second part was a BI layer, that was connected to the already established warehouse and using it as the underlying backend (together with data present in it) provided analytics, reporting, and business insights through a series of informative dashboards and charts we configured.
