The abbreviation DAaaS stands for "Data Analytics as a Service". As a customer, you collect data that you make available to the WDL. We carry out a data analysis by using additional external information to analyze the current status for you and provide a forecast for your company. It is important to us that this data analysis is carried out in the way that best suits you and your company: You can give us factors that we look at more closely and then focus on areas that you want to have analyzed more closely. Alternatively or additionally, we explore your data and develop insights that have strategic added value for your corporate management. Another advantage that the WDL provides you with is our individual service after the first analyses. We do not offer classic, one-off consulting projects. With us, you can decide for yourself how long and in what intensity and scope you want to enjoy our support. You decide on a certain level of permanent support by the WDL and still have the freedom to adjust this service to your current situation at any time or to cancel it monthly.
A data science project with the WDL usually runs in three agile steps:
The term dashboard comes from English and originally refers to the dashboard of a car. In our environment, this means an interactive graphical user interface with which information can be clearly presented to the user. This bundled information makes it easy for the administrator to keep track of all company information, monitor processes and react just-in-time to developments. As a WDL customer, you are interested in finding out what will happen in your company in the future and where you can intervene in good time. Artificial Intelligence (AI) methods are used to analyze your company's historical data in combination with additional external data, for example to predict future sales figures or customers willing to terminate their contracts. A WDL project consists of three agile steps in which a customer-specific project is first identified and this Proof of Concept (PoC) is converted into an individual dashboard. With this graphical user interface, which is tailored to your company and suitable for analysis, you can view all important key performance indicators and analysis results and filter and aggregate them user-specifically depending on the issue at hand. The third step is to automate the dashboard for regular operations, where you have as much new information as possible about data-driven business management. Here you decide for yourself how strong our support is and how long you want to act as a data-driven company on the market.