Collaborative decision-making software

Collaborative decision-making (CDM) is a software application or module that helps to coordinate and disseminate data and reach consensus among work groups. [1] Increase in the competition of the marketplaces, changing organizational structures and pushing the limits of expectations and emerging new challenges for higher officials to deal with international collaborations are all the influence of globalization on the businesses. [2] The need to deal with multicultural collaborative groups working in distributed environments to recover from uncertainty, indefinite problem. [2]

CDM software coordinates the functions and features required to arrive at timely collective decisions , enabling all stakeholders to participate in the process. The core principle of CDM software is that it does not have to be made in isolation in response to an individual’s idea or individual piece of data. They require shared knowledge and analysis of a combination of different pieces of information. [3] Earlier forms of computer-mediated communication(CMC) tools can also be effective for facilitating communication and developing working relationships, but the demands of globalization and the pressure of taking decisions have increased. [4]

The selection of communication tools is very important for high end collaborative efforts. Online collaborative tools are very different from one Reviews another, some use older forms of Internet-based technologies whereas others are using Web 2.0 . [4] Wikis , blogs , forums , rich site summary ( RSS) , feeds , opinion polls , social networking and community. The practice of these Web 2.0 tools, is now commonly known as collaboration 2.0, Which increases the quality of practical collaborations. [4] Managing and working in virtual teams is not a task. 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. [5] 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 . [5] [4] Managing and working in virtual teams is not a task. The most important factor for any virtual team is decision making. All the virtual teamshave to discuss, analyze and find solutions to problems through continuous brain storming session collectively. [5] 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 . [5] [4] Managing and working in virtual teams is not a task. 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. [5] 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 . [5] All the virtual teams have to discuss, analyze and find solutions to problems through continuous brain storming session collectively. [5] 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 . [5] All the virtual teams have to discuss, analyze and find solutions to problems through continuous brain storming session collectively. [5] 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 . [5] Has drastically improvised the decision making by directly linking the information on BI systems with collectively gathered inputs from social software . [5] Has drastically improvised the decision making by directly linking the information on BI systems with collectively gathered inputs from social software . [5]

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. [6] The application of social software in business intelligence (BI) to the decision-making process provides a significant opportunity to directly inform the decisions made throughout the company. [5]

History

Technology scientists and researchers have worked and explored automated decision support systems (DSS) for around 40 years. [7] The research initiated with model-driven DSS in the late 1960s. (GDSS), which is based on the GDSS methodology. [8] Data warehouses , managerial information systems, online analytical processing (OLAP) and business Intelligence emerged in late 1980s and mid-1990s and similarly knowledge-driven DSS and the use of web-based DSS were evolving. The field of automated decision support is emerging to utilize new advances and create new applications. [7]

In the 1960s, scientists deliberately discussed the use of automated quantitative models to help with basic decision making and planning. [9] Automated decision-support systems have become more of a 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. [10] DSS, chronicling history is neither slick nor direct. Various individuals see the field of decision Support Systems from different vantage focuses and report distinctive records of what happened and what was important. [11] As technology emerged new automated decision support applications were created and worked upon. Scientists utilized multiple frameworks to create and understand these applications. DSS classes, including: communications-driven, data-driven, document-driven, knowledge-driven and model-driven decision support systems. [11] Model-driven spatial decision support system (SDSS) was developed in the late 1980s and by the SDSS. [12] Data driven spatial DSS are also quite regular. All in all, A data-driven DSS stresses and the control of a time-series of internal and external information. [13] executive information system are boxes of data driven DSS.The very first boxes of These frameworks Were called Expired data-oriented DSS analysis Information Systems and recovery. [14] Communications-driven DSS. In these frameworks, communications technologies are the overwhelming design segment. Devices utilized incorporate groupware , video conferencing and computer-based bulletin boards. [11] [13] executive information system are boxes of data driven DSS.The very first boxes of These frameworks Were called Expired data-oriented DSS analysis Information Systemsand recovery. [14] Communications-driven DSS. In these frameworks, communications technologies are the overwhelming design segment. Devices utilized incorporate groupware , video conferencing and computer-based bulletin boards. [11] [13] executive information system are boxes of data driven DSS.The very first boxes of These frameworks Were called Expired data-oriented DSS analysis Information Systems and recovery. [14] Communications-driven DSS. In these frameworks, communications technologies are the overwhelming design segment. Devices utilized incorporate groupware , video conferencing and computer-based bulletin boards. [11] [14] Communications-driven DSS. In these frameworks, communications technologies are the overwhelming design segment. Devices utilized incorporate groupware , video conferencing and computer-based bulletin boards. [11] [14] Communications-driven DSS. In these frameworks, communications technologies are the overwhelming design segment. Devices utilized incorporate groupware , video conferencing and computer-based bulletin boards. [11]

In 1989, Lotus presented a groupware application called Notes and expanded the focus of GDSS to incorporate upgrading communication, collaboration and coordination among individuals. [15] In general, groupware , bulletin boards , audio and videoconferencing are the essential advances for communications-driven decision support. In the last couple of years, voice and video began using the Internet convention and have incredibly extended the synchronous communications-driven DSS. [7] A documented 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 in the 1970s and 1980s as a critical, generally used automated means for presenting and preparing bits of content. [14] Cases of archive that can be retrieved by a documented 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. [11] Knowledge-driven DSS can propose or prescribe actions to managers. These DSS are individual PC frameworks with specific critical thinking ability risen. The “expertise” included knowledge around a specific area, understanding of issues inside that space, and “skill” To take care of some of these issues. [11] These frameworks have been suggested DSS and knowledge-based DSS. [16]

Web based DSS, starting in roughly 1995, the far reaching Web and worldwide Internet gave an innovation to encourage the development of 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, the International Society for Decision Support Systems (ISDSS) was established. 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. [17] By 1995, The World Wide Web was perceived by various programming designers and scholastics as a wide range of decision-support systems. [18] In 1996-97, corporate intranets were produced to support information exchange and knowledge management. The primary decision-supporting apparatuses included specially appointed issue and reporting tools, improvement and recreation models, online analytical processing (OLAP) , data mining and data visualization . [19] Enterprise wide DSS utilizing database technologies were particularly well known among large organizations. [11] 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. [18] Application provider services (ASPs) started Facilitating the application programming and Specialized foundation for decision supporting 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. [18] Application provider services (ASPs) started Facilitating the application programming and Specialized foundation for decision supporting 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. [18] Knowledge management , business intelligence , and communications-driven DSS in an integrated web environment. [18] Knowledge management , business intelligence , and communications-driven DSS in an integrated web environment. [18]

(OLAP), Business Intelligence, group DSS, conferencing and groupware, document management, spatial DSS and executive Information Systems as the technologies rise, meet and wander. [11] The investigation of decision support systems is a connected train that uses learning and especially hypothesis from different disciplines. Consequently, many DSS scientists look at what they have been doing on the grounds of DSS. Subsequently, A great part of the wide DSS information base gives speculation and headings to building more powerful DSS. [4] [20]

CDM and Business Intelligence

Web 2.0 collaboration tools have reached the mass collaboration . These tools Provide a user controlled environment with social software in an inexpensive and flexible approach. The raising of collaboration 2.0 technologies are being accepted in the corporate. 21 ] Social and collaborative business intelligence (BI) , a type of CDM software, harnesses the functions and philosophies of social networking And social Web 2.0 technologies, applying them to reporting and analytics at the enterprise level, to better and faster fact-making decision-making.This platform, Such as Web 2.0 technologies, is designed around the premise that everyone can contribute to the discussion, anywhere and anytime. [5] Since 2010 there are an inclination to consolidate highlights from informal organizations into Business Intelligence arrangements. A wide range of business applications or like to take after this crucial change in the coming years. [22]

International Data Corporation (IDC) predicted that 2011 would be the year in which the trend of embedding social media features into BI solutions would make its mark, and that virtually all types of business applications would undergo a fundamental transformation. [23] IDC also believed the emerging CDM software market would grow rapidly, forecasting revenues of nearly $ 2 billion by 2014, with a compound annual growth rate of 38.2 percent between the years 2009 and 2014. [23] CDM software, BI, is the ability to share and institutionalize information, analysis and insight, which would otherwise be lost. [6]

Business Intelligence (BI) has been widely utilized to oversee and refine incomprehensible supplies of information.Many organizations have applied business intelligence to their own data for better understanding and decision making. BI predictive modeling and optimization . The different reports produced by these products play a major role in decision making. Decision Making is an important task in the job as the consequences of a decision on the growth and performance of the organization. [24] Collaborative Decision Making (CDM) joins social programming with business insight. This mix can make drastically enhance the nature of the basic decision making by using the data contained in BI frameworks with collective information gathered using social programming.User associations could cobble together such a framework with existing social programming, BI internships and essential labeling usefulness. [6] CDM is a rising segment of numerous application sorts – including BI, human resources (HR), ability to administer and suites – however it is a realization by the use of Web 2.0 applications. In the vanguard of this pattern is the way BI is being incorporated with shared, cloud-based applications. [21] Virtual world Second Life is an internship for collaborative decision making. The key advantage of this is “breaking down space” and the capacity to mix synchronous and asynchronous exercises. For meetings and occasions, the advantages of having all the important data and individuals on request, which evacuates the limitations of timetable and geology. Service oriented architecture (SOA) has assumed an essential part in making this a reality. BI pervades a whole association and, if utilized effectively, [25] Service oriented architecture (SOA) has assumed an essential part in making this a reality. BI pervades a whole association and, if utilized effectively, [25] Service oriented architecture (SOA) has assumed an essential part in making this a reality. BI pervades a whole association and, if utilized effectively, [25]

Now Collective Decision Making (CDM) is joined government / industry activity Went for Enhancing air stream movement Directors through expanded trade data Among aeronautics group partners. CDM is included officials from government, general flight, carriers, private industry and the scholarly world Who Cooperate to make mechanical and procedural answers for the air traffic flow management (ATFM) Challenges Confronted by the national airspace system (NAS). [26] New techniques are used to maximize understanding and improve collaborative decision making. [27]

Today’s BI tools are doing good work in terms of extracting right information for the right people, but lack of accountability in decision making process is leading the organizations into poor choices. Though there is a lot of money invested in the business Intelligence software and data warehouse technology, the output of these is still giving bad business choices. Intelligence and the quality and transparency of decision making. [28] The problem has become so prevalent that the need for collaborative decision making (CDM) software, a new approach making complex business decisions. CDM platforms will give users easy access to relevant data sources for future reference and accountability. The decision-making process is the result of the decision-making process. [28]

The quality of the decision-making process depends on the effective utilization of BI and information integration in the business which include – capturing BI value, effective Practice of BI applications and knowledgeable business professionals with expertise in BI and IT knowledge. [6]

Benefits and potential

The concept of social and collaborative BI has been hailed by many as the answer to the persistent problem.

Gartner predicts that CDM platforms will stimulate a new approach to complex decision making by linking the information and reports gleaned from BI software with the latest social media collaboration tools. [29]

Gartner’s prognostic report, The Rise of Collaborative Decision Making, predicts that this new technology will minimize the cost and lag in the decision-making process, leading to improved productivity, operational efficiencies and ultimately, better, more timely decisions. [29]

Recent McKinsey Global and Aberdeen Group research [30] have indicated that organizations with collaborative technologies responds to business threats and complete key projects faster, experiencing decreased time to market for new products.

COLLABORATIVE DECISION MAKING SOFTWARE

In general collaborative decision making by a group of people where work is shared among the group, whereas the collaborative decision making software refers to the software application that helps to coordinate and share work among the groups. Under this collaborative decision making software there is a key concept that is making people use this software is Benefits and potential. I am going to work on that section and add the following information in it.

Benefits and Potential

The benefits of collaborative software with Business Intelligence is also the collaborative decision making (CDM) software. It is typically used to report, analyze, and provide better and faster fact-based decision making. Web 2.0 is the main platform for the implementation of the collaborative decision making software. Virtual world is also emerging as a platform for collaborative decision making software by conferences and events. [31]

BENEFITS

Collaboration is working together as a group and developing the social knowledge and hence the collaboration software is also called as social software . Social software has the benefits of improving the relations, togetherness and collaboration among the laboratory in the organization and which delivering the knowledge that is information oriented. Social software is exceptionally good at the business contexts that facilitate the individuals to get connected, brainstorm, explore the ideas and encourage and so on. The social software technology creates the business value that can be derived from the customers relationships, product quality, operational effectiveness and also discovering new things. When it comes to solving the problem, it is easy to make a decision.

The number grows rapidly in the terms of use of collaborative software technologies. It is because, the use of the collaborative software can increase the accessibility and decreases the costs in a huge number. Wells Fargo, Caterpillar, Ford, and ARCO etc., The virtual team concept is one of the most important benefits of the collaborative software Tons of millions for the companies whose clients are geographically dispersed but work together using the video conferences. [32] The video conferences qui Took birth after Web 2.0 has come into light plays a key role and Provides benefits such as: ……………. Convert their pauses. [33]

Benefits of outsourcing is another concept that helps today’s global economy as many of the large firms have outsourced almost all of their IT functions. Improved productivity, higher quality, customer satisfaction. There are a lot of things to do with the benefits of the outsourcing. [34]

One research suggests that the collaborative software may benefit multi-cultural teams. Benefits of collaborative software is not just in computing but also in many other managements to facilitate great outcome. It is the only place in the country where you can get to know the culture of the country. For example, Kim et al. (1990) report that some incentives used to motivate North American workers can be counterproductive in collectivist cultures. [35]

POTENTIAL

The collaborative decision making software (CDM) has the potential to get multiple people in the firm or organization on one stage and collaborate on the interpretation of it. CDM does not care about the isolation analysis, but it does not have to be done in the context of the decision-making process. To take action based on the outcome of the data. It is now possible to pull groups which can add valuable insight instantly. [36]

CDM software is also self-documenting which means there is no need to take notes and write down all the information but it is able to save the work automatically by collecting the information that need to be registered. All the team involved in the decision making process will be in charge of this decision. The basic principle for the implementation of the team decision making is to use the knowledge of everyone in the team to its full potential. Recent research findings on virtual teams show the advantages such as the VTs tend to develop effective interactions slowly, they often reach the level of effectiveness of FACE TO FACE (FTF) In field teams compared to the experimental teams.

Components

There are three major functions that combine together to enable effective collaboration and networking on CDM platform. These are the ability to:

  1. Discussion and overlay knowledge on business data
  2. Share knowledge and content
  3. Collectively decide the best course of action

Discussing and overlaying knowledge on business data

BI decision-making, the opening of a business-to-business relationship between business and government. Business decisions should be made alongside business data to ensure steadfast, fact-based decision-making.

An open-access discussion forum in the BI solution allows users to discuss the results of data analysis, connecting the right people with the right data. Users are able to overlay human knowledge, insight and provide context to the data in reports.

A social layer within a BI solution improves the efficiency of business interaction,

  1. Being recordable: Conversations are automatically recorded, creating a searchable history of all interaction, eliminating unnecessarily revisiting points previously made
  2. Eliminating logistical hurdles: The need for complex and costly travel arrangements
  3. Enabling all stakeholders to participate: All stakeholders can contribute to their convenience

Key features of a CDM forum

Collaborative decision-making (CDM) is defined as a social media feature which, if combined with BI applications, will allow an increased distribution and discussion of information through a number of key features. These key features include annotations, discussions, and tagging, embedding, and providing decisions. [38] Annotations help others in accepting and interpreting the data, which makes it more significant. For instance, when users are creating or analyzing reports within the BI environment, they can add comments and annotations. Business leaders can be observed to be assured that they will understand the information on which decisions are grounded. Open-access discussions will allow the contributors to post their thoughts to read, consider and enhance the proposals of others. This feature can be valuable for pursuing the input of other investors. CDM tools within the BI environment. Tagging , on the other hand, allows the users to highlight the information in a flexible manner which makes it easy for other user to examine and recover beneficial and practical data. The ability to embed information enclosed in a BI solution into other applications is a vital factor for making sure that information is made accessible to decision-makers in a sensitive manner. When information is embedded, it can be seen and commented on by several users. Meaning to say, ideas and suggestions can also be shared and discoursed in actual. Lastly, BI solutions are at the expense of quantifiable goals and objectives. These may also include improved lucrative supply chain. [38]

Sharing knowledge and content

The digital age is often described as the Information Age. But the value of information resides in its ability to be shared.

A CDM module allows information regarding the reporting and analytics to be shared in three ways, by:

  1. Cataloging: A social layer within a BI solution. Tagging allows users to quickly and easily report, annotate and discuss content under multiple categories for quick and easy retrieval.
  2. Distributing: The ability to export all files / reports from the BI portal keeps all relevant decision-makers. Aside, a direct link to a CDM platform.
  3. Embedding: A CDM layer within a BI environment.

A CDM module does this in two ways

  1. Within the BI tool’s social layer or enterprise portal (intranet system) via a web services application programming interface (API)
  2. Outside the enterprise, on any platform, via YouTube style Java script export, enabling users to embed live interactive reports or other information by simply copying the Java script

Collectively deciding the best course of action

Collaborative Decision Making (CDM) systems are defined as cooperative computer-based systems which assist the elucidation of ill-structured difficulties by a set of decision makers who are functioning together as a team. Their clusters through the cooperative sharing of information among group members and the computer. [39] CDM associates the social software with business intelligence in which this amalgamation can radically improve the value of decision-making by directly connecting the information enclosed in BI systems with collaborative input. This module is a collaborative decision-making tool. Accordingly, Technologies, putting them on to broadcasting and analytics. If this is the case, then it would be a good idea to make a decision on the decision-making procedures. In order for a collaborative BI, they should be required to implement a collaborative mentality as well as upkeep a culture of organization-wide data sharing and data entry. This halts down departmental silos, empowering quicker, improved and more operative decision-making. [40] It is also observed as an inflexible precondition for a culture where people are rewarded for hoarding evidence, or information, and being specialists without sharing, then that organization is not ready. Technology will not be allowed to make a collaborative organization if it does not already exist.

Technology factors that underpin enterprise CDM

A BI CDM module is underpinned by three factors.

1 Ease of use: CDM software follows the Web 2.0 self-service mindset. The collaborative components within the BI solution cater for a diversity of user ability and skill levels to ensure knowledge does not remain departmentalized.

2 Fully integrated: Users should be able to discuss their analysis alongside their BI content. Picture this scenario: You’re using your search tool for last month’s sales results from the Americas. You find a startling anomaly – sales have skyrocketed compared to previous months. Why? What has been done differently? How can you replicate the results? If the CDM platform is within the BI tool, you can immediately start the investigation, inviting others into the conversation in full view of the data. There is no need to set up meetings and discussions in isolation from your data set. The collaborative process remains clearly documented in a single open-access space, and discussion remains on topic – the underlying information is right there. To enable successful CDM,

3 Web-based: Being Web-based, the collaborative platform allows all stakeholders to follow and contribute to discussion as it unfolds, regardless of location, time difference or device used to access it.

CDM modules in the Business Intelligence space

Social BI and CDM software is still in its infancy according to Gartner, and remains underutilized. [29] However, a handful of vendors in the BI marketplace offer CDM modules, including:

  • BITeamwork [41] (Collaborative BI Plug-in for Oracle BI)
  • Fingertip Ltd [42] (Collaborative Decision-Making in Salesforce)
  • IBM Cognos (Optional add on)
  • Lyzasoft [43] (Optional add on)
  • WIQ by ynSyte ynSyte
  • Yellowfin Business Intelligence [44] (Included Out of the box)

CDM offerings, including: CDM, CDM, CDM, CDM, CDM, CDM,

  • 1000Minds [45]
  • Altova MetaTeam
  • D-Sight [45]
  • loomio
  • Indyna ™ intelligence dynamics
  • Review19
  • SAPStreamWork
  • Comparion
  • inqiri
  • Ranktab
  • Cloverpop

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  34. Jump up^ Dhar, Subhankar; Balakrishnan, Bindu (2006). “Risks, Benefits, and Challenges in Global IT Outsourcing”. Journal of Global Information Management . 14 (3): 59. doi : 10.4018 / jgim.2006070104 .
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  37. Jump up^ o’Neill, Thomas A .; Hancock, Samantha E .; Zivkov, Katarina; Larson, Nicole L .; Law, Stephanie J. (2015). “Team Decision Making in Virtual and Face-to-Face Environments”. Group Decision and Negotiation . 25 (5): 995. doi : 10.1007 / s10726-015-9465-3 .
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  40. Jump up^ “White Paper: Collaborative Business Intelligence” (PDF) . 2012 . Retrieved October 26, 2016 .
  41. Jump up^ Features – OBIEE Commenting and Annotations via BITeamwork, BITeamwork Collaborative BI
  42. Jump up^ Fingertip – Social Decision-Making, Fingertip – Social Decision-Making
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