Understand Risk
r4apps provides analytics that help better understand SAP structures, heirachies and functions up front, allowing users to understand and mitigate risk.
r4apps provides analytics that help better understand SAP structures, heirachies and functions up front, allowing users to understand and mitigate risk.
Cleanse, prepare and transform complex data using AI, and gain confidence in your system’s information.
r4apps facilitates an agile approach to data migration and permanently integrates with your existing systems.
In just one week, gain a comprehensive understanding of the vast diversity of data across different systems, as well as the system structures, data hierarchies, and functions in use.
Usually, it is only when you are in the midst of a migration that you begin to fully understand the extent of what you don’t know. r4apps allows you to transform your data on the fly, as you work, no matter the number of records you’re faced with. This is possible because r4apps allows users to leverage AI and other analytics tools to deal with duplicate, missing, and non-compliant data. The result? A virtual data layer made from all existing sources that are easily understood, audited, and agile – saving you up to 80% of your resources and budget for data migration.
r4apps allows newer implementations and systems to run simultaneously with the old. It can schedule data integrations and write back (either time or event-based) and accommodates both one-time and permanent interfacing.
“Service providers need to invest in tools and assets to automate to the maximum extent all the different phases of the upgrade process, from impact analysis and preparation to deployment. r4apps addresses some of the above challenges, and can reduce project time by up to 70%”
Gartner
You may not fully anticipate what objects need to be migrated (structures, processes, data objects, etc.) and this detail is often not known until you are actually in the migration, i.e., you don’t know what you don’t know. This is where r4apps excels – allowing you to identify and transform data on the fly, as you work, live. Even if there are hundreds of millions of records. This can save you up to 80% of the effort and budget for data migration.
r4apps easily prepares the data that’s always hard to deal with – the client-specific elements (e.g., cost centres, materials, projects, etc). r4apps effectively leverages AI and other analytics to identify and deal with duplicates, missing and non-compliant data, etc. by creating a virtual layer from all existing data sources that are easily understood, auditable and agile. Savings of over 50% are common.
Complex data transformation e.g., with multiple dependencies, no 1:1 mapping, or transforming to a moving target can absorb over 70% of the budget. r4apps “works by doing” so avoids concept phases and extensive re-work saving of up to 75% in time and budget.
r4apps is in use at a global scale in a solution that includes scanned hand-written receipts – so we are very confident of its capabilities with unstructured data. Unstructured data can be transformed into structured data using the Business Object Builder [BoB] or Process Orchestration capability to deploy suitable algorithms. This new structured data can be held temporarily in the virtual harmonisation layer or written to new tables. The resulting transformation process can be automated for use on other unstructured data with similar characteristics.
In the base license we include two standard ERP connections and two admin users. Further connections are charged according to the complexity of the connections, see below.
r4apps needs dedicated user with the technical authorization profile “S_A.SCON” which includes the S_RFC and _SRFCACL
roles. Documentation of this process is available on request from r4apps.