Methodology

The capability to monitor and anticipate the evolution of relevant knowledge-bases in rapidly evolving complex environments is critical for businesses, companies and public authorities.

ATA has developed unique proprietary automated tools in the analysis and mining of complex pools of imformation together with innovative dynamic network approaches allowing our clinets to track and forecast the emrgence and disappearance of market and technological/investment grade opportunities in decision time while highlighting the crucial interdependencies and the strategic position of key players

ATA's Approach

1.Knowledge bases
Data and information in general are growing at exponential rate in heterogeneous formats and hierarchy. ATA has dedicated automated services to extract, transform and load data, at different levels of aggregation from public and proprietary knowledge- bases with little or no human intervention

2.Integration
ATA integrates heterogeneous data sources using advanced parsing, structured vocabularies and dedicated thesauri, hierarchical coupling and semantic/content analysis to construct a unified accessible knowledge-base

3.Network, Discover and Action
Data is displayed graphically using proprietary software (DyNet) unveiling interconnections and hidden relations and tracking the evolution of complex systems with statistical values together with intuitive tools to gather valuable patterns or relationships for business intelligence and prompt action.
Traditional means of gathering competitive technological and organisational intelligence are time consuming and expensive both in terms of human resources, complexity of data sharing and time allocation. ATA's approach reduces decision making processes and allocated resources allowing prioritisation, efficiency driven programmes and development of automated protocols for standard operating procedures.