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Concept
Collaborative decision-making software
Summary
Collaborative decision-making (CDM) software is a software application or module that helps to coordinate and disseminate data and reach consensus among work groups.
CDM software coordinates the functions and features required to arrive at timely collective decisions, enabling all relevant stakeholders to participate in the process.
The selection of communication tools is very important for high end collaborative efforts. Online collaboration tools are very different from one another, some use older forms of Internet-based Managing and working in virtual teams is not any task but it is being done for decades now. The most important factor for any virtual team is decision making. All the virtual teams have to discuss, analyze and find solutions to problems through continuous brain storming session collectively. An emerging enhancement in the integration of social networking and business intelligence (BI), has drastically improvised the decision making by directly linking the information on BI systems with collectively gathered inputs from social software.
Nowadays all the organizations are dependent on business intelligence (BI) tools so that their employers can make better decisions based on the processed information in tools. The application of social software in business intelligence (BI) to the decision-making process provides a significant opportunity to tie information directly to the decisions made throughout the company.
Technology scientists and researchers have worked and explored automated decision Support Systems (DSS) for around 40 years. The research initiated with building model-driven DSS in the late 1960s. Advanced with usage of financial related planning systems, spreadsheet-based decision Support Systems and group decision support systems (GDSS) started in the early and mid-1980s. Data warehouses, managerial Information Systems, online analytical processing (OLAP) and business Intelligence emerged in late 1980s and mid-1990s and around same time the knowledge driven DSS and the usage of web-based DSS were evolving significantly.
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