Migration to Siebel2Cloud – this is what digital transformation looks like today!

22 siječnja, 2021

Anyone wondering how business-critical CRM applications can be operated in a future-proof, transparent and secure manner can no longer overlook “the Cloud”. For IT experts, the cloud has long been default. Which brings us to the topic at hand. Leading companies around the world have been using Siebel CRM for many years to achieve their digital transformation goals. But the pain among Siebel customers is growing steadily, causing a degree of discomfort among managers, key users, and in the IT department. Because we are talking about a user interface (UI) that is no longer state-of-the-art. Furthermore, Siebel instances are usually highly customized, and the technical expertise is visibly shrinking in the market. All in all, it is barely surprising to hear talk of a high cost factor! When talking to customers, too, I keep noticing time and again: often, many don’t even know the technical details of their Siebel implementation, which has grown successively over the last few years (just to name a few: Data Model, Data Object, Fields, Views, Relationships, Data Volumes, Usage).

As a result, the future of Siebel has been regarded with a fairly critical eye for years now. The roadmap shows clearly: the CRM solution is approaching the end of its life. Beset by this uncertainty, the high upgrade costs coupled with the question “what is it that’s actually still being invested in further development?”, customers have been commenting on the lack of flexibility when it comes to realizing additional requirements. This makes it obvious – a contemporary solution is now needed.

After all, a CRM system that has provided very good customer management services in the past can no longer compare to a comprehensive customer experience solution of today. Meanwhile, there are demands for a multidimensional customer journey that offers the best possible customer approach. This quantum leap already requires a lot, both in terms of resources, know-how and intensive budget considerations. In this case, having the right experts and tools at your side would be advisable. For the first step, as an example, the BP4Apps developed by our partner Horus are an asset. Horus® BP4Apps™ stands for “Business Processes for Oracle Cloud Applications” and is an easy-to-use knowledge-based system that provides comprehensive business process knowledge for all relevant Oracle application modules. Combined with PROMATIS Best Practice, the customer is provided a guide, so to speak, for the execution of corresponding implementations.

In addition, the services of Conemis have been tried and tested in practice. Conemis AG, based in Karlsruhe, understands itself as an expert for data migration at the highest level and introduces transparency into the jungle of many question marks by offering a holistic solution approach. By analyzing the Siebel instance (with the help of the Conemis ANALYZER), the customer benefits from a detailed overview without incurring further commitments. This report enables the scoping of processes in the cloud target system to be defined precisely. And of course, an accurate estimate of the migration effort also represents enormous security for the customer in terms of costs.

A linked approach of this nature has simply convinced our customers. Especially since PROMATIS has been intensively mastering installations of this kind for years and can consider intricacies right from the start. With the Oracle Cloud Solutions in combination with the implementation services provided by PROMATIS, the customer ultimately gains an intuitive UI based on the latest technology – joined by flexibility inside the processes and significantly lower costs. Accordingly, a migration to the cloud is a chance for previous processes to be simplified, made user-friendly and fast as part of a process reengineering, and for a large proportion of the previous customizing to be jettisoned. Et voilà – this is what digital transformation looks like today!

Author: Julian Großmann

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