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. The field of automated decision support is emerging to utilize new advancements and create new applications.

In the 1960s, scientists deliberately started examining the utilization of automated quantitative models to help with basic decision making and planning. Automated decision support systems have become more of real time scenarios with the advancement of minicomputers, timeshare working frameworks and distributed computing. The historical backdrop of the execution of such frameworks starts in the mid-1960s. In a technology field as assorted as DSS, chronicling history is neither slick nor direct. Diverse individuals see the field of decision Support Systems from different vantage focuses and report distinctive records of what happened and what was important. As technology emerged new automated decision support applications were created and worked upon. Scientists utilized multiple frameworks to create and comprehend these applications. Today one can arrange the historical backdrop of DSS into the five expansive DSS classes, including: communications-driven, data-driven, document driven, knowledge-driven and model-driven decision support systems. Model-driven spatial decision support system (SDSS) was developed in the late 1980s and by 1995 the SDSS idea had turned out to be recognized in the literature. Data driven spatial DSS are also quite regular. All in all, a data-driven DSS stresses access to and control of a time-series of internal organization information and sometimes external and current data. Executive Information Systems are cases of data driven DSS.The very first cases of these frameworks were called data-oriented DSS, analysis Information Systems and recovery. Communications-driven DSS utilize networks and communications technologies to facilitate decision-relevant collaboration and communication. In these frameworks, communications technologies are the overwhelming design segment. Devices utilized incorporate groupware, video conferencing and computer-based bulletin boards.

In 1989, Lotus presented a groupware application called Notes and expanded the focus of GDSS to incorporate upgrading communication, collaboration and coordination among gatherings of individuals. In general, groupware, bulletin boards, audio and videoconferencing are the essential advancements for communications-driven decision support. In the last couple of years, voice and video started utilizing the Internet convention and have incredibly extended the conceivable outcomes for synchronous communications-driven DSS. A document driven DSS utilizes PC storage and processing technologies to give record recovery and investigation. Huge archived databases may incorporate examined reports, hypertext records, pictures, sounds and video. Content and record administration expanded in the 1970s and 1980s as a critical, generally utilized automated means for presenting and preparing bits of content. Cases of archives that may be retrieved by a document driven DSS are strategies and techniques, item determinations, catalogs and corporate verifiable reports, including minutes of meetings and correspondence. A search engine is an essential decision-aiding tool connected with document-driven DSS. Knowledge-driven DSS can propose or prescribe actions to managers. These DSS are individual PC frameworks with specific critical thinking ability risen. The "expertise" comprises knowledge around a specific area, comprehension of issues inside that space, and "skill" at taking care of some of these issues. These frameworks have been called suggestion DSS and knowledge-based DSS.

Web based DSS, starting in roughly 1995, the far reaching Web and worldwide Internet gave an innovation stage to encourage developing the abilities and sending of automated choice support. The arrival of the HTML 2. details with shape labels and tables was a defining moment in the advancement of web-based DSS. In 1995, various papers were introduced on utilizing the Web and Internet for choice support at the third International conference of the International society for decision support systems (ISDSS). Notwithstanding web-based, model-driven DSS, analysts were reporting web access to data warehouses. DSS Research Resources was begun as an online gathering of bookmarks. By 1995, the World Wide Web was perceived by various programming designers and scholastics as a genuine stage for executing a wide range of decision-support systems. In 1996-97, corporate intranets were produced to support information exchange and knowledge management. The primary decision-support apparatuses included specially appointed question and reporting instruments, improvement and recreation models, online analytical processing (OLAP), data mining and data visualization. Enterprise wide DSS utilizing database technologies were particularly well known among large organizations. In 1999, sellers presented new Web-based analytical applications. Numerous DBMS merchants moved their center to web-based analytical applications and business intelligence solutions. In 2000, application service providers (ASPs) started facilitating the application programming and specialized foundation for decision support capabilities. Additionally the year 2000 was a gateway. More advanced "enterprise knowledge portals" were presented by sellers that combined information portals, knowledge management, business intelligence, and communications-driven DSS in an integrated web environment.