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/Index/datascalehr/datascalehr
D

datascalehr

DATASCALEHRManage supplier listing

Two licensable assets produced as byproduct of a global payroll data-integration layer. (1) The KMod mapping corpus: 1.5 million+ validated field-level mapping decisions across 150+ countries and 7,000+ source/target schemas, encoding what each statutory compensation line item means per jurisdiction (e.g. German and French social-security contribution structures) rather than merely how it is named. (2) The normalised, anonymised cross-country payroll surface itself: full-fidelity payslip-level compensation components from multinational employers in 10-50 countries each, harmonised by meaning so that total-cost-per-employee is comparable across jurisdictions without lossy compression.

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datascalehr/datascalehr
SampleCoverage

Sample

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Coverage

Universe, instruments and categories.

Industry
Human Resource & Employment ServicesApplication Software
Instruments
equities
Categories
AlternativeFundamentalReferenceESG
Regions
USEuropeOtherJapan
Sample tickers
ADPPAYXPAYCTRIHRI.NSRDSa.LSAP.DE7974.T
Dataset card
Type
not stated
Format
Ingests per-provider payroll file formats and source-system extracts (Workday, SAP, Oracle, local providers) losslessly under schema-on-read; exposes a normalised queryable data surface delivering dashboards, consolidated reports and anonymised benchmarking outputs — file/API delivery to be scoped
Volume
1.5 million+ validated mapping decisions across 150+ countries and 7,000+ source and target schemas, over payroll populations from multinationals running payroll in 10 to 50 countries each — i.e. multi-million payslips per cycle flowing losslessly through the layer, retaining every statutory line item
Users
N/A — enterprise deployment model, not a registered-user product; named enterprise adopters include Strada (a top-3 global payroll provider) and SDWorx, with an 11-person team serving them
History
not stated
Update frequency
not stated
Growth
Active — live enterprise deployments with named global-payroll adopters, and the mapping engine compounding with each new country or provider added
Launched
est. 2019-2022 (small unfunded New York firm whose engine has already accumulated 1.5M+ mapping decisions across 7,000+ schemas, implying several years of production deployments; no launch year stated)
Delivery
not stated
Entity mapping
not stated
Sample
not stated
Point-in-time
not stated
Licence
not stated

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datascalehr has not added their own details yet. Not yet on file:

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  • Data dictionary
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