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Social BI
Social BI, or Social Business Intelligence, refers to the creation, publishing and sharing of custom business analytics reports and dashboards by end users of ''Cloud'' technologies. Social or collaborative BI is the use of Enterprise 2.0 tools and practices with business intelligence outputs for the purpose of making collective decisions. First enabled by the rapid growth of social media networks in 2009, Social BI allows for the collaborative development of post user-generated analytics among business analysts and data mining professionals. This has removed previous barriers to self-service BI while still employing traditional analytics applications. Social BI can also be interpreted as providing business intelligence based on social networks data. For example, a company selling consumer electronics goods needs to know how people are responding to their latest advertisements or promotions. The reports and visualizations made using social media represent what people are talking ...
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Business Analytics
Business analytics (BA) refers to the skills, technologies, and practices for continuous iterative exploration and investigation of past business performance to gain insight and drive business planning. Business analytics focuses on developing new insights and understanding of business performance based on data and statistical methods. In contrast, business intelligence traditionally focuses on using a consistent set of metrics to both measure past performance and guide business planning. In other words, business intelligence focusses on description, while business analytics focusses on prediction and prescription. Business analytics makes extensive use of analytical modeling and numerical analysis, including explanatory and predictive modeling, and fact-based management to drive decision making. It is therefore closely related to management science. Analytics may be used as input for human decisions or may drive fully automated decisions. Business intelligence is querying, repor ...
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Business Activity Monitoring
Business activity monitoring (BAM) is software that aids the monitoring of business activities which are implemented in computer systems. The term was originally coined by analysts at Gartner, Inc. and refers to the aggregation, analysis, and presentation of real-time information about activities inside organizations, customers, and partners. A business activity can either be a business process that is orchestrated by a business process management (BPM) software, or that of a series of activities spanning across multiple systems and applications. BAM is intended to provide a summary of business activities to operations managers and upper management. Description Business activity monitoring provides real-time information about the status and results of various operations, processes, and transactions. The main benefits of BAM are to enable an enterprise to make better informed business decisions, quickly address problem areas, and re-position organizations to take full advantage of ...
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Runtime Intelligence
Software analytics is the analytics specific to the domain of software systems taking into account source code, static and dynamic characteristics (e.g., software metrics) as well as related processes of their development and evolution. It aims at describing, monitoring, predicting, and improving the efficiency and effectiveness of software engineering throughout the software lifecycle, in particular during software development and software maintenance. The data collection is typically done by mining software repositories, but can also be achieved by collecting user actions or production data. One avenue for using the collected data is to augment the integrated development environments (IDEs) with data-driven features. Definitions * "Software analytics aims to obtain insightful and actionable information from software artifacts that help practitioners accomplish tasks related to software development, systems, and users." --- centers on analytics applied to artifacts a softwa ...
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Operational Intelligence
Operational intelligence (OI) is a category of real-time dynamic, business analytics that delivers visibility and insight into data, streaming events and business operations. OI solutions run queries against streaming data feeds and event data to deliver analytic results as operational instructions. OI provides organizations the ability to make decisions and immediately act on these analytic insights, through manual or automated actions. Purpose The purpose of OI is to monitor business activities and identify and detect situations relating to inefficiencies, opportunities, and threats and provide operational solutions. Some definitions define operational intelligence as an event-centric approach to delivering information that empowers people to make better decisions, based on complete and actual information. In addition, these metrics act as the starting point for further analysis (drilling down into details, performing root cause analysis — tying anomalies to specific transact ...
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Location Intelligence
In business intelligence, location intelligence (LI), or spatial intelligence, is the process of deriving meaningful insight from geospatial data relationships to solve a particular problem. It involves layering multiple data sets spatially and/or chronologically, for easy reference on a map, and its applications span industries, categories and organizations. Maps have been used to represent information throughout the ages, but what might be referenced as the first example of true location 'intelligence' was in London in 1854 when John Snow was able to debunk theories about the spread of cholera by overlaying a map of the area with the location of water pumps and was able to narrow the source to a single water pump. This layering of information over a map was able to identify relationships between different sets of geospatial data. Location or geographical information system (GIS) tools enable spatial experts to collect, store, analyze and visualize data. Location intelligence ...
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Integrated Business Planning
Integrated business planning (IBP) is a process for translating desired business outcomes into financial and operational resource requirements, with the overarching objective of maximizing profit and / or cash flow, while minimizing risk. The business outcomes, on which IBP processes focus, can be expressed in terms of the achievement of the following types of targets: * Revenue & demand * Service levels * Inventory levels * Profits & margins * Cash flow Integration elements Integrated Business Planning is defined in different ways. One challenge in developing a common definition of IBP is that there is no universally agreed way of describing different degrees and forms of integrated processes. Mature IBP processes enable organizations to bring together different elements of planning into a single process. This includes, but is not limited to, the following: * Supply & demand * Finance & operations * Functions & business processes * Strategy / Outcomes & business processes * ...
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Enterprise Planning Systems
An enterprise planning system covers the methods of planning for the internal and external factors that affect an enterprise. These factors generally fall under PESTLE. PESTLE refers to political, economic, social, technological, legal and environmental factors. Regularly addressing PESTLE factors falls under operations management. Meanwhile, addressing any event, opportunity or challenge in any one or many factors for the first time will involve project management. As opposed to enterprise resource planning (ERP), enterprise planning systems have broader coverage. Enterprise planning systems address the resources that are available or ''not'' available to an enterprise and its ability to produce products or resources and/or provide services. It also considers those factors that will positively or negatively affect the firm's ability to run these actions. Enterprise planning systems will tend to vary and are flexible. These are due to the periodic and adaptive nature of strategy ...
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Decision Engineering
Decision intelligence is an engineering discipline that augments data science with theory from social science, decision theory, and managerial science. Its application provides a framework for best practices in organizational decision-making and processes for applying machine learning at scale. The basic idea is that decisions are based on our understanding of how actions lead to outcomes. Decision intelligence is a discipline for analyzing this chain of cause and effect, and decision modeling is a visual language for representing these chains. A related field decision engineering also investigates the improvement of decision-making processes but is not always as closely tied to data science. Origins and technologies Decision intelligence is based on the recognition that, in many organizations, decision-making could be improved if a more structured approach were used. Decision intelligence seeks to overcome a decision-making "complexity ceiling", which is characterized by a mis ...
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Data Visualization
Data and information visualization (data viz or info viz) is an interdisciplinary field that deals with the graphic representation of data and information. It is a particularly efficient way of communicating when the data or information is numerous as for example a time series. It is also the study of visual representations of abstract data to reinforce human cognition. The abstract data include both numerical and non-numerical data, such as text and geographic information. It is related to infographics and scientific visualization. One distinction is that it's information visualization when the spatial representation (e.g., the page layout of a graphic design) is chosen, whereas it's scientific visualization when the spatial representation is given. From an academic point of view, this representation can be considered as a mapping between the original data (usually numerical) and graphic elements (for example, lines or points in a chart). The mapping determines how the attri ...
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Data Presentation Architecture
Data and information visualization (data viz or info viz) is an interdisciplinary field that deals with the graphic representation of data and information. It is a particularly efficient way of communicating when the data or information is numerous as for example a time series. It is also the study of visual representations of abstract data to reinforce human cognition. The abstract data include both numerical and non-numerical data, such as text and geographic information. It is related to infographics and scientific visualization. One distinction is that it's information visualization when the spatial representation (e.g., the page layout of a graphic design) is chosen, whereas it's scientific visualization when the spatial representation is given. From an academic point of view, this representation can be considered as a mapping between the original data (usually numerical) and graphic elements (for example, lines or points in a chart). The mapping determines how the att ...
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Customer Dynamics
Customer dynamics is an emerging theory on customer-business relationships that describes the ongoing interchange of information and transactions between customers and organizations. These exchanges occur over a wide range of communication channels, such as phone, email, Web and text, including those outside of organizational control like social media. Similar to the scientific disciplines of family and social dynamics, Customer Dynamics looks at the relationships between organizations and customers from an interpersonal viewpoint. It goes beyond the transactional nature of the interaction to look at emotions, intent, and desires. It views interactions as a chain of events rather than single point occurrences. Customer dynamics is a subset of organizational dynamics, which describes how people function together to accomplish a task. The level of operational success is said to be determined by the behavioral nature of organizations—individuals' roles, interpersonal relations, an ...
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Business Service Management
Data center management is the collection of tasks performed by those responsible for managing ongoing operation of a data center This includes ''Business service management'' and planning for the future. Historically, ''data center management'' was seen as something performed by employees, with the help of tools collectively called #Data Center Infrastructure Management, Data Center Infrastructure Management (DCIM) tools. Both for in-house operation and outsourcing, Service-level agreements must be managed to ensure data-availability. Competition Data center management is a growing major topic for a growing list of large companies who both compete and cooperate, including: Dell, Google, HP, IBM, Intel and Yahoo. Hardware/software vendors who are willing to live with coopetition are working on projects such as "The Distributed Management Task Force" (DMTF) with a goal of learning to "more effectively manage mixed Linux, Windows and cloud environments." With the ''DMTF'' a decade ...
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