Data Connectors

Create a centralized unified data mart for holistic analysis and accurate decisions.

Connect your cloud based apps, onpremise softwares, data warehouses, spreadsheets

The Plumb5 Unified Stack architecture is a data-aware system, which has a base classified customer master table and provides custom tag for each channel and target sources. This makes sure that no data is isolated and every data is part of the subnet.

The biggest advantage of integrating your data with Plumb5 is that it acts at the main base platform to connect all the data sources and maintain unification at all times, creating a completely structured environment. This can eliminate data redundancy and make a positive impact on your bottomline revenues.

Connecting data sources

In today's data environment, data is collected across sources: Mainframes, Legacy systems, Back office apps, Offline databases, spreadsheets, online applications, cloud applications and third party webservices. Plumb5's ready connectors can help organizations quickly integrate data from online/cloud sources and spreadsheets. You can work with the Plumb5 team to customiza data import and ensure that you have tagged every single data and created a complete data master.

Data Tagging with Plumb5 is a one-time activity, post which schedulers can be enabled to maintain data synchronization at all times to deliver real-time insights and reports built over unified data .

Integration that supports bi-directional data flow

Integrating all your data sources to the unification platform should allow seamless data flow in both directions. Plumb5 platform is designed to facilitate data flow either to the internal users for operational insights or to the customer, where real-time insights matter to drive personalization

As depicted in the above diagram, the core of Plumb5 has a rule engine and a data-aware structure that binds data across all sources which helps in maintaining unification. This technique takes out data redundancy and stacks unique data sequenced by time parameters. It connects to the respective point sources using a tag system and synchronizes data for synthesis of insights and delivered back to any point system based on the defined process.