Data Processing Tasks, Managing a Multitude of Diverse Utilities

• Analytics & Modeling - Data-as-a-Service
• Platform as a Service (PaaS) - Data Management Platforms

• Data Science Services

Allant Group, a marketing service provider, was dealing with an increasing amount of diverse data formats due to the surge of international data. They were using a multitude of homegrown applications for data manipulation, which was becoming increasingly difficult to manage with the growing data complexity. The expectation of faster turnaround, higher quality data, and more quality control steps in the process run on data led Allant to search for an ETL to support this. They needed a tool that could integrate with their existing software packages and legacy software, and was easy to use so that the data processing workload could shift from the programmer-side to an operational staff.

Allant Group is a marketing service provider with over 30 years of experience in the marketing data processing business. They receive data from data providers, which they use in their internal products, and from clients to help them with their marketing campaigns. The data comes in daily, ranging from small common delimited files to extremely large data files. In recent years, they have seen a surge in international data, leading to an increase in different types of data formats. Allant Group is based in Chicago, Illinois.

Allant Group chose CloverETL for their data processing tasks. CloverETL can run their external tools for them, while also allowing them to visually reimplement the tools using transformation graphs. This approach allows them to manage a multitude of diverse utilities more easily. CloverETL was conducive to integration with Allant's existing software packages and legacy software. It was also intuitive enough to shift the data processing workload from the programmer-side to an operational staff. CloverETL offers a visual way of representing the work, allowing Allant to view the whole process in one place. It also allows Allant to better maintain their system. If they have a server that needs maintenance, for example, they can remove it from the Cluster without disrupting other persons or processes.

• CloverETL brought insight into Allant’s data processes to a broader group of personnel.
• The data processing staff, instead of developers, can now design and monitor the data flows.
• CloverETL offers a visual way of representing the work, allowing Allant to view the whole process in one place.