Why Analysis As a Service
Many organizations want or have started to work more data-driven. The importance of storing, processing and translating data into (new) knowledge and insights is generally recognized. Creating data analysis and creating value from data, however, does not appear to be an easy task in practice. Under the banner of ‘Business Intelligence’ We are working hard to generate reliable reports based on the available data. However, much more can be done with the data than offering it in Excel or a dashboard to ‘the business’
Through ‘smart’ algorithms, it is now possible to go deeper. Algorithms are able to apply an enormous amount of calculations to the data in order to discover (unexpected) patterns or connections. Think of the difference between working with a magnifying glass and a microscope. The microscope is a natural complement to the magnifying glass. ‘Smart’ algorithms are a natural complement to Excel spreadsheets or dashboards.
With data analysis, it is very important to ask a specific research question before going into depth. In addition, knowledge and experience within the domain is essential.
For these reasons, we at Zuiver ICT have chosen to focus on developing ‘smart algorithms’ focus on the procurement and accounts payable domains. In addition, the development of our data analysis always takes place in close collaboration with one or more users.
How often is the analysis performed?
You can determine the frequency of the analysis yourself. It is possible to have an analysis performed once or periodically (per hour, day, week, month or quarter).
What does the execution of an analysis cost?
The costs for the execution of an analysis are determined by the type of analysis, number and repetition frequency of the execution.
How are the algorithms developed?
Zuiver ICT continuously develops and improves smart algorithms to be able to offer analytics as a service. The development always takes place in collaboration with one or more clients. Our data analysis algorithms are not developed and tested in a laboratory, but together with people from the field. The primary requirement is that the algorithms have demonstrably created value.
The dataset is placed in the Zuiver ICT environment via secure access. If required by security, the analysis will take place at the client's location (on-site).
Can the analysis be explained?
Zuiver ICT believes that it is important that algorithms do not form a 'black box'. where it is no longer possible to explain the results. This can be the case when applying neural networks. The algorithms that Zuiver ICT develops are set up in such a way that the outcome can always be traced and explained.
What does the analysis result look like?
The form in which the analysis result is delivered may differ per analysis. The possible manifestations are: