Collaborative decision-making software

Collaborative decision-making software

Collaborative decision-making (CDM) software is a software application or module that coordinates the functions and features required to arrive at timely collective decisions, enabling all relevant stakeholders to participate in the process. The core output of CDM software is making better decisions. The core principle of CDM software is that good decisions are not 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. The core currency of CDM is making sense of data.

The application of social software in Business Intelligence to the decision-making process provides a significant opportunity to tie information directly to the decisions made throughout the company

Contents

Overview

In 2009, social and collaborative BI emerged as a new sub category within the BI landscape.

Social and collaborative BI, a type of CDM software, harnesses the functions and philosophies of social networking and Web 2.0 technologies, applying them to reporting and analytics at the enterprise level. These CDM BI modules are designed to facilitate better and faster fact-based decision-making. This platform, like social Web 2.0 technologies, is built on the premise that anyone should be able to share content and contribute to discussion, anywhere and anytime.

CDM software, in the context of BI, is the ability to share and institutionalize information, analysis and insight, which would otherwise be lost.[2]

International Data Corporation (IDC) research predicts that 2011 will be the year where the trend of embedding social media style features into BI solutions will make its mark, and that virtually all types of business applications will undergo a fundamental transformation.[1]

IDC, along with many other analytics firms, also believes the emerging CDM software market will grow quickly, forecasting revenues of nearly $2 billion by 2014, with a compound annual growth rate of 38.2 percent between 2009 and 2014.[1]

Global technology and analytics research firm, Gartner, suggested in a 2011 report – Predicts 2011: New Relationships Will Change BI and Analytics – that 15 percent of BI deployments will combine collaborative technologies and social software with BI to create collaborative decision-making environments by 2013. Gartner said these collaborative environments would help proactively manage, capture and optimize decision processes and outcomes to improve performance and Return on Investment (ROI) for BI.

Gartner also predicates that development in collaborative decision environments will drive investment in new BI and analytic applications. Gartner noted that a number of vendors are beginning to address this challenge.

CDM and business intelligence

In 2009, Social and Collaborative Business Intelligence (BI) emerged as a new sub category within the BI landscape.

Social and Collaborative BI, a type of CDM software, harnesses the functions and philosophies of social networking and Web 2.0 technologies, applying them to reporting and analytics at the enterprise level, to facilitate better and faster fact-based decision-making. This platform, like social Web 2.0 technologies, is designed around the premise that anyone should be able to share content and contribute to discussion, anywhere and anytime.

IDC predicts that 2011 will be the year where the trend of embedding social media style features into BI solutions will make its mark, and that virtually all types of business applications will undergo a fundamental transformation.[1]

IDC, along with many other analytics firms, also believes the emerging CDM software market will grow quickly, forecasting revenues of nearly $2 billion by 2014, with a compound annual growth rate of 38.2 percent between 2009 and 2014..[1]

CDM software, in the context of BI, is the ability to share and institutionalize information, analysis and insight, which would otherwise be lost.[2]

Benefits and potential

The concept of social and collaborative BI has been hailed by many as the answer to the persistent problem that, despite increasing investment in BI, many organizations are failing to utilize reporting and analytics effectively and continue to make poor business decisions, resulting in low ROI.

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.[3]

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.[3]

Recent McKinsey Global and Aberdeen Group research[4] have indicated that organizations with collaborative technologies respond to business threats and complete key projects faster, experiencing decreased time to market for new products as well as improved employee satisfaction.

Components

There are three major functions that combine together to enable effective enterprise collaboration and networking based on reporting and analytics, and form the basis of a CDM platform. These are the ability to:

1. Discuss 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

Most decision-making and discussion surrounding business processes occurs outside organizational BI platforms, opening a gap between human insight and the business data itself. Business decisions should be made alongside business data to ensure steadfast, fact-based decision-making.

An open-access discussion forum integrated into 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 regarding reporting and analytics compared to traditional avenues of communication such as faxes, phone calls and face-to-face meetings by:

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 is significantly reduced, with geographically dispersed stakeholders able to participate in the exchange of information faster

3. Enabling all relevant stakeholders to participate: All relevant stakeholders can contribute to discussion at their convenience

Key features of a CDM forum

On a unified discussion platform, users can discuss and share content in three ways, via:

1. Report centric discussion: Allows relevant stakeholders to participate in the documented discussion and analysis concerning a specific report.

2. Annotations: Allow users to overlay knowledge onto a report, pinpointing specific dates, to help explain the actual events that gave rise to a particular trend in the data.

3. General discussion topics: Allows users to drive appropriately detailed and contextualized discussion, analysis and decision-making across broad issues, by sharing insight from multiple reports simultaneously.

Sharing knowledge and content

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

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

1. Cataloguing: A social layer within a BI solution allows users to create a searchable history by tagging and cataloging past discussions and reports within shared folders inside the BI portal. Tagging allows users to quickly and easily file report, annotation and discussion content under multiple categories for quick and easy retrieval.

2. Distributing: The ability to export entire files/reports from the BI portal keeps all relevant decision-makers properly informed. Likewise, sharing direct links to external information in a threaded discussion within the CDM platform adds necessary detail, context and perspective to discussion.

3. Embedding: A CDM layer within a BI tool enables users to embed reports and vital contextual content across platforms – wherever it is needed for decision-making.

A CDM module does this in two ways

1. Within the BI tool’s social layer or enterprise portals (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 fragment into any HTML page

Collectively deciding the best course of action

Corporate collaboration and knowledge-sharing platforms borrow many of their components from popular social networking platforms, although, there is one important difference.

Most social media platforms are designed around the individual, allowing for individual knowledge sharing and participation. They are not designed for, and do not facilitate, consensus and decision-making. There is no bridge between insight and action.

Corporate CDM modules include a mechanism for deciding action, such as voting or polling, to guide and transform conversation and analysis into specific, measurable and desirable outcomes.

Technology factors that underpin enterprise CDM

A BI CDM module is underpinned by three technological components.

1. Easy to use: CDM software follows the Web 2.0 self-service mindset – help yourself and each other. The collaborative component(s) within the BI solution cater for a diversity of user ability and skill levels to ensure knowledge and insight does not remain siloed and departmentalized.

2. Fully integrated: A CDM platform allows users to discuss their analysis alongside their BI content. Because the CDM platform is within the BI tool, users can immediately initiate analysis and conversation in full view of the data. The need to set up meetings and discussions in isolation from data set is eliminated. The collaborative process remains clearly documented in a single open-access space, and discussion remains on topic – the underlying information (data) is right there. Social BI facilitates effective CDM because both the collaborative platform and information are located in the one place.

3. Web-based: Being Web-based, the collaborative platform allows all relevant 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.[3] However, a handful of vendors in the BI marketplace offer CDM modules, including:

  • IBM Cognos (Optional add on)
  • Lyzasoft[5] (Optional add on)
  • Yellowfin Business Intelligence[6] (Included Out of the box)

References

External links


Wikimedia Foundation. 2010.

Игры ⚽ Поможем написать реферат

Look at other dictionaries:

  • Decision making — For Decision making in groups, see Group decision making. Sample flowchart representing the decision process to add a new article to Wikipedia. Decision making can be regarded as the mental processes (cognitive process) resulting in the selection …   Wikipedia

  • Group decision making — (also known as collaborative decision making) is a situation faced when individuals are brought together in a group to solve problems. According to the idea of synergy, decisions made collectively tend to be more effective than decisions made by… …   Wikipedia

  • Collaborative software — (also referred to as groupware) is computer software designed to help people involved in a common task achieve goals. One of the earliest definitions of “collaborative software” is, intentional group processes plus software to support them.… …   Wikipedia

  • Decision engineering — framework Decision Engineering is a framework that unifies a number of best practices for organizational decision making. It is based on the recognition that, in many organizations, decision making could be improved if a more structured approach… …   Wikipedia

  • Collaborative method — Collaborative methods are processes, behaviors and conversations that relate to collaboration between individuals.[1] These methods specifically aim to increase the success of teams as they engage in collaborative problem solving. Forms, rubrics …   Wikipedia

  • Collaborative Enterprise Sourcing — (CES) is an innovative concept in Product Lifecycle Management (PLM). Product Life cycleAny entity, be it a business, manufactured good or a software application, has a lifecycle. The typical phases of a Lifecycle include: * Conception * Design * …   Wikipedia

  • Collaborative e-democracy — In a collaborative e democracy every citizen participates in the policy process, either indirectly by delegating proxy representatives to vote on their behalf within the different policy domains, or directly by voting on a particular issue (green …   Wikipedia

  • Collaborative working system — A collaborative work system (CWS) is an organizational unit that emerges any time that collaboration takes place, whether it is formal or informal, intentional or unintentional.[1] Contents 1 Overview 2 CWS and collaborative working environments …   Wikipedia

  • Collaborative filtering — (CF) is the process of filtering for information or patterns using techniques involving collaboration among multiple agents, viewpoints, data sources, etc. Applications of collaborative filtering typically involve very large data sets.… …   Wikipedia

  • Mobile Computer Supported Collaborative Learning — is Contents 1 Definition 2 Overview 3 History 3.1 Elementary School Learners …   Wikipedia

Share the article and excerpts

Direct link
Do a right-click on the link above
and select “Copy Link”