Design and development of corporate websites and web portals
We create recommendation engines that present intelligent, intuitive techniques for visualizing their results.
A recommendation engine is a system that suggests products, services, information to users based on data analysis. Regardless, the recommendation can be based on many factors, such as user history and the behaviour of similar users.
We create data-driven predictive models that can help companies solve complex problems in new ways.
Analytics (or predictive analytics) uses historical data to predict future events. Typically, historical data is used to build a mathematical model that captures important trends. This predictive model is then used on current data to predict what will happen in the future, or to suggest actions to take for optimal results.
Based on past history and performance, organisations can gain deeper insights into trends and patterns regarding employees, customers and competitors. Risks can also be mitigated and success and safety predicted. This is the result of capturing and analysing current data from multiple channels, including emails, files, instant messages, CRM applications, relational databases, collaboration tools and social media.
A good example of analytics in juxtaposition with AI is online retailers using search and shopping habits to predict a customer's next likely purchase, and then targeting their ads and promotional emails based on those predictions.
Personalisation is the customisation of content by engaging in filtering, classifying, prioritising and adapting information. Personalisation can be overt, using direct user data, or covert, based on inference from collected data.
Targeting is one form of personalisation. Based on profiling, individuals are targeted with personalised content that is intended to have a specific impact on their decisions or behaviour.
A single step is enough to contact us, one taken towards a potentially long-term partnership.
While you may quickly forget the contents of the messages we exchange, you will always remember how you felt when working with us.
Provision of the abovementioned data is voluntary, however providing an e-mail address is necessary to obtain a reply. The data subject has the right to access their personal data, to rectify it or to erase it.
The Controller of your personal data is Agencja Interaktywna Web Wizard.com, with its registered office in Wrocław, ul. Gen. Grota-Roweckiego 8/10, 52-220 Wrocław, conducting business activity on the basis of an entry in the register of business activity no 1661331 of 13.03.2003, REGON: 932899803, e-mail: email@example.com