Visualization

DV: Data Visualization as a Technology, as a Process and as a Market has multiple components and moving parts. Starting DV point is Data, because Visualization is Data-Driven.

Data have to be collected, cleaned, extracted, transformed, loaded into DW (“Data Warehouse”), organized into effective structures like OLAP Cubes or in-memory columnar databases and than explored, drilldowned, analyzed through multiple synchronized interactive DataViews, like charts, grids and pivot tables integrated into user-friendly Dashboards and DV applications.

All this requires a variety of Business Intelligence tools and Data Visualization vendors, BI market, strong DV Architecture, DV consultants and healthy demand from DV-educated and casual users.