Sap Se

Ulrich Schlueter

Andreas Wildhagen

Florian Roll

Karthikeyan Loganathan

Uwe Kuersten

Niranjan Raju

Relevant content of datasets is compared by computing a hash value over a selected subset of fields to obtain a signature of a dataset, with other fields being disregarded. A hash value can be computed directly for all records of the dataset, or by combining individual hash values for each record. Comparison of the signature with that of other datasets leads to efficient determination whether two datasets match with respect to relevant content in the selected fields. For larger groups of datasets, lists of matched and mismatched datasets can be reported. Optional features include matches insensitive to permutation of the records, or identification of which records in a dataset fail to match.

Comparing datasets using hash values over a subset of fields

A connected logistics platform is provided to integrate data from various logistics sources. The platform can provide rule-based messaging and/or tracking. The platform can also provide selective access to the integrated data based on user role profile. Related system, method, apparatus, and non-transitory computer readable medium are also provided.

Connected logistics platform

Provided are systems and methods for determining a materiality threshold of a local data value for a group data value. In one example, a method includes receiving a group data file and a local data file, identifying a local data value from the local data file and a corresponding confidential group data value from the group data file, determining whether an error or an omission in combining the local data value with the confidential group data value impacts a materiality threshold of the confidential group data value, and generating and displaying a materiality indicator that visually indicates whether the local data value is going to impact a materiality threshold of the confidential group data value. According to various aspects, a user can quickly identify whether a coding process is doing to affect a materiality of a data value from a larger group.

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Schriesheim, Germany

Ulrich Schlueter