Before Sievo, most of the intelligence software available was designed to extract, transform, and load data for reporting purposes. We take this process one stop further by helping you make sense of it.
Other software just sorts your data. We help you understand it.
Spend Analysis or Business Intelligence software has helped companies to better read their data. But making sense of the data often requires more than the raw numbers, however well cut. It requires human intervention and intelligence to truly dissect the data and make sense of it.
Having contributed this value ourselves as practitioners or consultants to Fortune 500 companies, we began to believe that it could be automated through a software solution. We imagined a software that would not only read raw data from ERP, purchasing and other database systems but interpret it with intelligence that could make the data speak in a more strategic way. That's why we invented Sievo and the ETRE process.
Sievo ETRE: symbiosis between machine and human being
Sievo ETRE process illuminates procurement data through human intelligence in order to manage its performance. It is composed of four key steps: Extract, Transform, Rip, and Enhance.
Extract
Unlike many software providers out there, Sievo's approach to data extraction is to make it as easy as possible for you. You just have to send us the data in the format of your choice and we take care of the rest. We really don't care about which format: we can plug 50 different ERP, purchasing and data warehouses systems into Sievo. This significantly reduces the time your IT team needs to invest in the project and reduces the risks of errors.
Transform
Next, we translate this disparate data into a common language. At Sievo we believe that this is a very important step in the process. We also believe that you should be directly involved in the process to avoid misinterpretation and potential mistakes. Applying Sievo's Matrix will enable you to spend less time categorizing pens than you'd spend on marketing.
Rip
Ripping the data apart is the third step of the process. Here is where Sievo people contribute their understanding of purchasing and finance. By applying the knowledge we have codified in our software, we can help you understand the sources of value in a deal. For instance, in a transaction that created a value of two, we can help you decide whether that two is comprised of 1+1 or 3-1. We do so by exploding the raw data along respective category value drivers. For example, we can clearly isolate that value of two from currency, market fluctuation, and other root causes in a way that's never been done before.
Enhance
Enhancing the data is the final step, where we translate insight into foresight. Beyond providing a rich understanding of past data, we use our model to project future spend, and try to anticipate profitability and changes in the cash accounts. Our analysis can enable you to better manage risks now by making their root causes visible and understandable.
