I. Introduction
COMPANIES selling goods have many possible ways to devise strategies of improving their business model and adjusting it to changing business conditions. One of them is to use business intelligence tools to automatically gather, process, analyze and visualize data that is important for the company in hope of obtaining useful insights that can be used to improve company's functioning. One of the most promising and simple approaches to this problem is to combine company's private data with publicly available data in order to obtain a useful synthesis of these two. An independent problem is how to handle and integrate different dimensions of company's data. One of the dimensions is the temporal one: the business conditions change over time and the company's decision-makers have to be able to follow changing trends in order to e.g. predict future behavior of the market. Another important dimension is the spatial one: different administrative regions have different business environments, and different business strategies might be more or less suitable for different sales areas (e.g. some regions might need more billboard advertisements while others might need more on-line advertisements).