R&D Ecosystem

Foundations of NEO: The 2011 Hybrid ES/BI 2.0 Architecture

The theoretical and practical framework of the Network Ergatic Organism (NEO) and AI+ concepts managed by NGO "SYNERGY" was pioneered and published by our research team in 2011 (Herald of Zhytomyr State Technological University, Issue 2/57).

• The FPS/BI 2.0 Knowledge Model: A three-component knowledge representation schema integrating Frames (as ROLAP Star Schemas), Production Rules (via daemon and servant procedures for multi-criteria reasoning), and Semantic Networks (linking end-users with explicit databases and automated execution complexes).

• The SixW's/BI 2.0 Metaknowledge Framework: An advanced extension of classical knowledge management models, introducing mandatory elements: KNOW-FORECAST (predictive analytics) and KNOW-AS MUCH (quantitative fuzzy logic evaluation), ensuring seamless interoperability with Geospatial Information Systems (GIS/BI 2.0).

• Strategic Autonomy ("Island" Systems): The architecture defines a network-centric yet resilient model, allowing localized autonomous nodes ("islands") to conduct non-trivial data mining (OLAP, Text & Image Mining) and automated control with minimal human intervention, reserving creative and high-level strategic functions exclusively for the human decision-maker.

The Network Architecture of NGO "SYNERGY"

Our center operates as a decentralized Knowledge Management System (KMS), integrating strategic analysis, regional development, and innovative IT products into a unified socio-ergatic ecosystem. Explore our specialized digital spaces:

• Decision Support & Business Intelligence (DSS BI) — Our core analytical resource dedicated to the architecture of decision support systems, knowledge engineering, and human-machine interaction models. 👉 [dss-bi.com.ua ]

• Regional Cooperation & Geopolitics: "Dobrudja+" — An international platform for historical research, European integration dialogue, and development of cross-border initiatives under the Dobrudja.eu brand. 👉 [dobruja.org ]

• Strategic Simulations & Defense — Access point to the tactical simulation model "Black Sea Defense", showcasing practical integration of modern algorithmic solutions (Magura and Neptune tactical logic maps). 👉 [dss-bi.com]

• Research & Methodology Blog (Blogger) — The primary digital repository containing the core body of scientific publications, research papers, and methodological frameworks regarding DSS, Business Intelligence, and Knowledge Management Systems (KMS). 👉 [dss-bi.blogspot.com] 

Socio-Ergatic Hierarchy: User Classification Model

Within the ES/BI 2.0 and NEO frameworks, effective human-machine interaction is achieved by partitioning user capabilities into four distinct operational levels, optimizing the training and deployment of analytical personnel:

1. Report Reader: End-users who interact with localized data visualization tools, Dashboards, and Scorecards to monitor key performance indicators (KPIs) without configuration privileges.

2. Information Browser: Trained analysts capable of conducting heuristic data analysis using client-side OLAP tools (interactive pivot tables and charts) and building basic decision-making workflows via 4GL environments.

3. Advanced User: Power-analysts executing complex queries with client-side Data Mining tools and managing temporal database extensions within decentralized knowledge management systems (KMS).

4. Power User: Multi-disciplinary experts utilizing server-side OLAP/Data Mining architectures, configuring strategic Scorecards, and managing automated rule harmonization under strict information security (CISO) protocols.