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Gathering information on the client in every channel: GPS, mobile, phone response, web portals, social media, etc.
Consolidation and optimization of information while matching the activity at the client level, based on ML mechanisms.
Distributing the relevant information to the organization’s decision-makers, to trace and target the right product to the right client at the time he needs it.
Talend brings and takes care of all relevant data, from all different channels, to provide a 360 client view, and enables better relations and higher engagement with the clients.
To deal with direct channel multiplication operating with the organization’s systems, and on the other hand, clients which demand immediate personal service, synchronizing between the organization’s systems is becoming critical, unrelated to where the data is, whether on-premises, cloud, etc.
For example: a client who encounters a mobile problem, expects to talk with the support center over the phone and continue from the point he got stuck. We want real-time data flow and to the right place, in this case to the customer support center.
The solution will enable a decrease in the load from operational databases while increasing the unified observation of client activity, in real-time.
HVR provides a real-time data duplication solution (CDC) based on logs. The solution updates all the relevant systems without overloading the source systems. This solution works with all rational databases, especially fits banks’ data systems, organizations’ customer service systems, and marketing departments that keep up with the latest marketing campaigns intended for different target audiences.
The financial sector has regulations updates frequently. The analysts sometimes will ask to add data sources to adjust to regulations and to analyze. The traditional way to get the job done requires gathering the data into the main database.
Based on data virtualization and data mesh technology, the analyst can access data sources without the need to duplicate them, thus shortening the adjustment time by 90%.
Starburst enables data access, wherever it is without duplicating or moving it. In addition, the tool enables analysts to self-service in real time. The technology also fits with the transition to the cloud, so if some of the data is already on the cloud and some is still on-premises, it doesn’t delay the analysts’ work (it’s translucent for them).