Data aggregation is becoming more and more common in the modern world, it is necessary to get to know your own organization and to improve everyday processes.
Our solution combines any number of data sources to create a place where information obtained from data aggregation can be used to obtain all kinds of information.
We combine and organize data from sources indicated by the user. It could be:
Data aggregation helps companies clean and organize data in a convenient and accessible way. Thanks to a dedicated data warehouse, analysts can access and manipulate up-to-date information at any time to discover new marketing opportunities. As a result, marketers deliver consistent messages to all of their clients, personalize offers, and customize their marketing campaigns. In addition, this data can be used throughout the organization. For example, the sales team can validate new leads, while senior management can adjust the marketing strategy and change the marketing budget according to the performance of the departments.
The process of auto-aggregating data has three common elements: extract, transform, and load (also called ETL).
The process can be broken down into three simple steps:
Advantages of data automation: why is it important for your business?
Data automation is a clear business advantage. It is a productive and cost-effective solution as it improves work efficiency and lowers costs. It can also be beneficial for employees who can focus on difficult and highly stimulating activities instead of carrying out repetitive, boring tasks.
Moreover, automated data management ensures their consistency and integrity. Maintaining the quality of work is crucial for companies that may be at risk by carrying out manual processes.
In addition, automation helps to streamline the integration of data from multiple data sources into one. Here are some ways that automated integration can revolutionize business processes:
Let's face it; Processing huge amounts of data from different sources is not an easy task. Data downloaded from various sources vary in format. It needs to be normalized and verified before being loaded into a unified system.
Automation saves a lot of time in handling tasks included in the data pipeline. In addition, it minimizes manual intervention, which means low resource utilization, time savings and greater data reliability.
Data automation provides better performance and scalability of your data environment. For example, by enabling change data capture (CDC), all changes made at the source level are propagated to the enterprise system based on triggers. On the contrary, updating tasks manually is time-consuming and knowledge-intensive.
With automated data integration tools, simultaneous data loading and CDC management is just a matter of dragging and dropping objects onto the visual designer without writing any code.