Execution of the Data Analysis
The Data-Analysis process starts with the selection of one or more Data-Analysis. You will receive a proposal regarding the costs for performing the Data Analysis. If you agree, you will receive a description of the required dataset from Zuiver ICT in the form of a data specification. You compose the dataset yourself on the basis of this data specification.
Your dataset can consist of one or more files. You will receive an email from Zuiver ICT containing a link to a secure environment. You will receive the password by SMS. You then upload the dataset in the secure environment. Zuiver ICT starts the Data Analysis as soon as the dataset is stored in the secure environment. The data quality is assessed by Zuiver ICT.
If the dataset is of insufficient quality, you will receive a message with the detected deviations. You improve the dataset and store it again in the secure environment. As soon as the data quality is sufficient, the dataset is processed by the algorithms and the result is generated in the form that matches the specific analysis.
The analysis result will be sent to you by email. This can also be a link to our PowerBI service environment. The maximum lead time for the data analysis is 24 hours from the moment that Zuiver ICT has determined that the dataset has been received and is suitable for the analysis. If the lead time of the Data Analysis needs to be shortened, it is possible to make separate agreements about this. It is technically possible to start an analysis immediately as soon as the dataset is made available and to deliver the result immediately after the analysis. This requires further coordination with your IT department.
Which analysis are available?
The following data analysis are available or currently under development:
- Price fluctuation product items
- Clustering based on price fluctuations within product items
- Determine certain price fluctuation patterns within product (sub) items
- Determining certain price fluctuation patterns within product (sub) items Determining potential savings based on price comparisons after clustering sub-items
- Results are delivered at item, brand/product and at supplier level.
- Classify product descriptions
- Reading invoices and classifying product descriptions according to the UNSPSC coding list
- Buyer performance
- Explanatory Analysis of Purchasing Process Performance Variations
- Supplier performance
- Correlation of product price fluctuations and raw material price trends
- Forecast decrease in supplier delivery performance
- Payment performance
- Explanatory analysis of exceeding payment term invoicing
- Determining double paid invoices
Examples output regarding Price Fluctuation
Detection of price up and down patterns
Detection of sub-items within one item-code
Comparing price fluctuation patterns between suppliers