US 11,947,566 B2
Employee data replication system
Qendrim Kuqi, Ludwigshafen am Rhein (DE); Ping Hou, Hockenheim (DE); Sagar Joshi, Bangalore (IN); Frank Bareis, Mühlhausen (DE); Thomas Markotschi, Mannheim (DE); Tobias Lukas Bader, Rauenberg (DE); Aysan Mazloumi, Heidelberg (DE); Semih Gercek, Sankt Leon-Rot (DE); and Hui Xu, Shanghai (CN)
Assigned to SAP SE, Walldorf (DE)
Filed by SAP SE, Walldorf (DE)
Filed on Aug. 12, 2021, as Appl. No. 17/400,268.
Prior Publication US 2023/0052094 A1, Feb. 16, 2023
Int. Cl. G06F 16/30 (2019.01); G06F 16/27 (2019.01); G06Q 10/105 (2023.01)
CPC G06F 16/275 (2019.01) [G06Q 10/105 (2013.01)] 17 Claims
OG exemplary drawing
 
1. A method comprising:
receiving, at an enterprise system, a request to replicate employee data hosted by a host system;
determining a data model associated with the enterprise system;
identifying at least one of a live date corresponding to when the employee data is to be live on the enterprise system or a selection of one or more applications to be used on the enterprise system, wherein each application is associated with a required amount of historical data;
receiving a quality indicator from a user of the host system, wherein the quality indicator corresponds to how closely the employee data hosted by the host system corresponds to the data model;
calculating a cutoff date for the employee data based on the quality indicator and one or more of the live date and the selection of one or more applications, the cutoff date indicating an oldest date for which the employee data is to be replicated to the enterprise system;
determining that the employee data includes both employee data that is prior to the cutoff date and employee data that is subsequent to the cutoff date;
replicating the employee data subsequent to the cutoff date from the host system to the enterprise system, wherein the replicated data comprises employee data that is more recent than the cutoff date; and
providing an indication that the replication has completed and the replicated employee data is live and accessible via the enterprise system through the one or more applications.