Procurement analytics is the process of collecting and analyzing procurement informtion (data) to form meaningful insights and effectively support decision making.
Examples range from historical procurement spend analysis reports to advanced analytics to forecast and budget for future decisions.
The need for purchasing analyzes arose from the desire of many organizations to obtain a consolidated picture of purchasing expenditure based on the data from the purchasing and invoicing systems.
Our mission is to create new and valuable insights using advanced data analysis techniques by integrating Business Intelligence with Data Science.
A Spend Analysis is considered the starting point. This is the process of identifying, collecting, cleaning, grouping, categorizing and analyzing your organization's procurement related expenses. This is done with the aim of gaining insight into purchasing costs and, where possible, reducing them and improving efficiency.
Our Spend Analysis consists of a Basic Spend Analysis and optional additional (advanced) analyses.
The Basic Spend Analysis contains an overview of the total spend, the spend per group, a world map, the ABC analysis, the Kraljic Matrix and the transaction details.
The options for additional analysis are:
In response to the rapid price increases in the market, Zuiver Analytics has developed a unique Purchasing Price Index .
Get more insight into price increases and decreases with the help of a calculated index trendline and improve your budgets, supplier management, order times and order volume.
The indexed trendline is calculated over your purchases based on your own invoice and/or purchase order data.
The result is an indexed trendline, calculated based on a weighted average of your purchases. What you buy more of also weighs more heavily in the increase or decrease.
The Purchasing Price Index provides direct insight into the development of a price index per supplier, brand, category or other dimension.
In order to generate the desired insights, your organization is trained in understanding and dealing with the Purchasing Price Index.
We assume that no organization wants to pay the same invoice twice. Unfortunately, it still happens regularly. The automation systems generally check whether the invoice number already exists. This is not always sufficient to prevent an invoice from being paid twice.
The Double Payments Algorithm analyzes your historical invoice data and 'smartly' determines which invoices have been paid twice. You are then able to reclaim the amount, whether or not double paid, from the supplier.
Reducing the double paid invoices from the historical invoice data is also an optional addition to the Basic Spend Analysis.