Konstantin Latyshev – Post-Graduate Student, Department of Applied Mathematics and Analytical Decision-Making Support, Moscow Metropolitan Governance University.
Address: 28, Sretenka str., Moscow, 107045, Russian Federation. 
E-mail: konstantin73@inbox.ru

Vladimir Sidorenko – Associate Professor, Economic Faculty, Lomonosov Moscow State University; Associate Professor, Department of Applied Mathematics and Analytical Decision-Making Support, Moscow Metropolitan Governance University.
Address: 28, Sretenka str., Moscow, 107045, Russian Federation. 
E-mail: v_sidorenko@mail.ru

At present government institutions and big international companies widely use a variety of information systems for decision-making support. These are systems for objectives creation for directions-departments-divisions, systems for long-term detailed planning, geographically distributed systems for report collecting from linear departments. As a rule, such systems contain components for user-friendly presentation of spatially aggregated data, trends, views (special subset of grouped on spatial criteria basis), convenient for “insight” and analysis.

Contemporary methods of analysis and presentation of social economic data are concerned in the paper. For this purpose a Spatial OLAP solution is proposed. On-line real-time comprehensive analysis of social economic data can be performed in relation with spatial analysis of geodata. The suggested solution is innovative, inexpensive, based on widely used proved products of famous software vendors. At this moment, no similar solutions are existed among academic and business communities.

In the paper the solution for “convenient real-time treatment” of spatial social economic data is suggested to produce reliable “insights”. In the terms of information technologies the solution uses some standard BI, OLAP and GIS systems of well-known software vendors. The notion of BI must be extended to the field of GIS-analysis and results in Spatial BI notion (based on Spatial OLAP technology). There are no big vendors now with the Spatial OLAP (SOLAP) and Spatial BI products. SOLAP solution with a limited functionality is proposed now only by SAS Institute.