Period

Data Collection & Processors

Customer Benefits

1985

Use of Micro processors to Automate Data Collection from employee, work orders, breakdowns

data acquisition was cheap allowed better decisions by using collected data.

1990

Application software development for data collected of large workforce in employee work attendance, process data and HR skills development . Automation of Line and production line for data collection ,

Reduced administration cost and increase visibility of resources to be used. Established Activity based Costing.

1995

Develop application software workflows with data collection and shared processors for co-ordinating, financial costing and administration

Allowed collaboration and the empowerment of work cells and distributed manufacturing.

2000

Real Time data acquisition for risk management in financial industry banks and brokerages

Building market and portfolio's in real time and measuring the counter party and derivative exposures for action enables credit and market exposures.

2005

Real Time data acquisition multiple real time impact causality in financial instruments and counter-party and underwriter entities.

Knowledge based for operational alerts for risk events, used of static and dynamic scenarios micro and macro levels.

Current

Embedded frameworks of real time data acquisition , provides framework causality in real time for alerts predictive knowledge assessments and measurements.

Knowledge with alerts based on embedded data acquisition frameworks for predictive outcomes, crisis management, collaboration failure detection and warnings. Useful for regulator supervision of financial industry.

Established in Singapore in 1985 it evolved from application software developer for mainframe computers to a application software developer that utilize structured collaborative networking that may involve data collection devices operating in real time or a collaborative information sharing with a framework that provides event alerts and co-ordination management. The engagement results in convergence around predictive collaboration of realtime knowledge owners with operational its operational uses to form an effective and efficient business ecological system.