- Identification of source systems for data collection.
- Conversion of paper based invoices, contracts to electronic format, if required.
- Define data templates and extraction routines for extraction of spend data from source systems.
- Spend reconciliation to ensure accurate 3rd-Party spend is being analysed and non-sourceable spend viz. inter-company, VAT, taxes and duties, etc. are segregated.
SPEND ANALYSIS
Our Consultants help organizations to generate spend data for meaningful analysis through following services:

Data Vectors Spend Inference Machine (SIM) is an automated Artificial Intelligence (AI) based solution providing following data cleansing features:

Classification
SIM can classify line item level as well as Supplier level to Global standards such as UNSPSC, eClass or Customer specific category schema. SIM has an integrated web search engine and uses a unique “context based” classification technique for achieving 95%+ categorization accuracy.

Supplier cleansing
SIM is able to rationalize different representations of the same supplier (for example IBM, I.B.M., International Business Machines, etc.) as well as identify the group companies.