Anna can help procurement teams identify cost savings, optimise pricing and support supplier negotiation and vendor management. You can read more here on our website.
This article will cover:
Example insights from this use case
Recommended data structure for this use case
What sort of insights can Anna help me uncover?
We've outlined some example questions which Anna can help answer through a combination of her proactive insights, Search, and What caused this? analysis:
Identify cost savings
Spend by site location
Unit price trend for Product last financial year
Spend with non-preferred vendors last quarter
Spend by contract manager
Unit price trend by Product Category
Unit price trend by Product by Vendor
Unit price variance for a particular product
Spend by vendor
Support supplier negotiation & vendor management
Expired contracts by contract manager
Spend by contract status this financial year
Spend with preferred vendors last financial year
How do I structure my data?
Anna requires structured, transactional data, with at least 1 measure (e.g. Spend) and 5 segments (e.g. product names). In addition, we recommend at least 7 months of data (at monthly or daily granularity) so you can take full advantage of Anna's Unexpected Changes feature.
Anna can connect to databases and .csv files.
Example data structure
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Please refer to this article for more information about data structure.
Here are some of the typical segments we find in revenue data. A segment is a qualitative value, like names or categories:
Vendor attributes: Vendor name, vendor status, vendor category, etc.
Product attributes: Product description, product sub-description, material description, etc.
Company attributes: Site/office location, project name, project description, entity, etc.
Other attributes: contract manager, contract status, ordering department, orderer name etc.
A measure is a quantitative, numeric value. Some of the typical measures include spend, quantity purchased, unit price, etc.
If you have any questions, please contact us at email@example.com.