The Expertool Paradigm

Modeling Cognition and Complex Systems

Business Complexity
Information Complexity is inherent in all fields of study and endeavor because of two fundamental realities:
  1. uncertainty is always a factor
  2. beyond the simplest scenarios, combinational interactions cannot be computed exhaustively
To understand and address complexity, it is critical for us to distinguish it from complication.  Things get complicated as a result of adverse drivers such as design errors, inefficiencies and conflicting standards or agendas.  Things are complex due to their nature.  Things that are complicated can and should be simplified.  Things that are complex need to be understood and accommodated.

Expertool Complexity Modeling
is a software-supported methodology for analysis, learning and discovery.  Some key goals of complexity modeling are:

   - understanding impacts, alternatives and tradeoffs of multidimensional scenarios
   - developing and testing theories
   - exposing assumptions, bias and anomalies in aggregated information
   - capturing and reusing mental models of human experts
   - rationalizing and integrating interdisciplinary knowledge

Expertool Complexity Management
is a software-supported methodology for implementing and automating the learnings gained from modeling in programs, processes and systems.   Some key outcomes of complexity management are:
  • evidence-driven, context-sensitive decision support and planning tools
  • design and implementation of agile and adaptive organizational entities
  • expert applications embedded in processes and systems to ensure quality and compliance
  • turning staff expertise into a reusable organizational asset
  • holistic risk analysis and alignment of policies and controls

These business complexity solutions are achieved by means of standalone or integrated Expertool applications, delivered by trained internal resources and/or our Professional Services network.


Holistic Analysis and Management

Integration and rationalization of multidisciplinary content is especially complex due to diverse taxonomies, incompatible data architectures and organizational silos.  The Expertool platform can enable uniquely capabilities to address these issues.

In the GRC solution illustrated on the right (client's slide), the Expertool model enables internal SME's to:
   - Integrate policies, standards, controls, technology roadmap, SOP's and international regulations
   - Analyze gaps and overlaps, optimize the GRC architecture and update the GRC platform
   - Assess impacts of changes in the business, regulatory and technological landscape and update the GRC architecture

Download a Case Study that describes three projects, including the illustrated solution.


 
For more information and a DEMO, contact sales@expertool.com