Embedded Files
Welcome to R&D Center Synergy!
Network Ergatic Organism (NEO) is a network ergatic (human-machine) system with integrated executive devices, in which the functions of non-trivial knowledge extraction and management in a single information field are harmoniously divided between software and hardware and people, and a significant part of these functions, except for those critical for security, are performed with minimal human participation. It is obvious that the corresponding concept is more complete than the previously known concept of building a “single information space”.
Network Ergatic Organism (NEO) is a network ergatic (human-machine) system with integrated executive devices, in which the functions of non-trivial knowledge extraction and management in a single information field are harmoniously divided between software and hardware and people, and a significant part of these functions, except for those critical for security, are performed with minimal human participation. It is obvious that the corresponding concept is more complete than the previously known concept of building a “single information space”.
It is most expedient to create NEO (Network Ergatic Organism) through the evolution of simpler systems, primarily based on Business Intelligence + KMS (Business Intelligence 2.0 (3.0)) with Business Performance Management, with a geographic information system (Geographic Information System, GIS) and with appropriate software analytical applications that are adapted or specially developed for partial problem areas of work. Such a unified ergatic system or its elements can be implemented at the global, corporate, group or individual levels. The concepts, technologies, tools, data and knowledge models of all partial NEO subsystems must be coordinated with each other to minimize ETL (Extract, Transform, Load) procedures - in order to ensure maximum synergy of the unified system.
It is most expedient to create NEO (Network Ergatic Organism) through the evolution of simpler systems, primarily based on Business Intelligence + KMS (Business Intelligence 2.0 (3.0)) with Business Performance Management, with a geographic information system (Geographic Information System, GIS) and with appropriate software analytical applications that are adapted or specially developed for partial problem areas of work. Such a unified ergatic system or its elements can be implemented at the global, corporate, group or individual levels. The concepts, technologies, tools, data and knowledge models of all partial NEO subsystems must be coordinated with each other to minimize ETL (Extract, Transform, Load) procedures - in order to ensure maximum synergy of the unified system.
Source:
Source:
Business Intelligence + KMS, концепція, технологія і засоби підтримки рішень не тривіальними знаннями з первинних даних. Business Intelligence NEO (Network Ergatic Organism) - перспектива розвитку Business Intelligence, https://dss-bi.com.ua/index.files/BI_NEO.htm
Other author's publications on this topic in the R&D Center Synergy archive (2008-2026)
Foundations of NEO: The 2011 Hybrid ES/BI 2.0 Architecture
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 2008-2011 (Herald of Zhytomyr State Technological University, Issue 2/57).
FPS/BI 2.0 Knowledge Model: A three-component knowledge representation scheme that integrates Frames (ROLAP star schema), Production Rules (via daemon and servant procedures for multi-criteria reasoning), and Semantic Networks (connecting end users to explicit databases). Each of these elements also supports automation of execution management.
The SixW's/BI 2.0 Metaknowledge Framework: An extended extension of classical knowledge management models, which includes elements: SixW's/BI2.0 = SixW's(WHO,WHAT,WHEN,WHERE,WHY,HOW) +New(FORECAST,AS _MUCH,X), it provides seamless interaction with Decision Support System/Business Intelligence (DSS BI), Expert System/BI; Geospatial Information Systems (GIS/BI 2.0), etc.
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.
Socio-Ergatic Hierarchy: User Classification Model
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:
Report Reader: End-users who interact with localized data visualization tools, Dashboards, and Scorecards to monitor key performance indicators (KPIs) without configuration privileges.
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.
Advanced User: Power-analysts executing complex queries with client-side Data Mining tools and managing temporal database extensions within decentralized knowledge management systems (KMS).
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.
Page updated
Google Sites
Report abuse