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Business Process Discovery
Business process discovery (BPD) related to business process management and process mining is a set of techniques that manually or automatically construct a representation of an organisations' current business processes and their major process variations. These techniques use data recorded in the existing organisational methods of work, documentations, and technology systems that run business processes within an organisation. The type of data required for process discovery is called an event log. Any record of data that contains the case id (a unique identifier that is helpful in grouping activities belonging to the same case), activity name (description of the activity taking place), and timestamp. Such a record qualifies for an event log and can be used to discover the underlying process model. The event log can contain additional information related to the process, such as the resources executing the activity, the type or nature of the events, or any other relevant details. Process ...
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Business Process
A business process, business method or business function is a collection of related, structured activities or tasks by people or equipment in which a specific sequence produces a service or product (serves a particular business goal) for a particular customer or customers. Business processes occur at all organizational levels and may or may not be visible to the customers. A business process may often be visualized (modeled) as a flowchart of a sequence of activities with interleaving decision points or as a process matrix of a sequence of activities with relevance rules based on data in the process. The benefits of using business processes include improved customer satisfaction and improved agility for reacting to rapid market change. Process-oriented organizations break down the barriers of structural departments and try to avoid functional silos. Overview A business process begins with a mission objective (an external event) and ends with achievement of the business object ...
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Business Triage
Business triage is a decision-making system that provides a framework for business decision making, outcome goal prioritization, and resource allocation in many business environments. Business triage involves categorizing desired outcomes and goals and the processes that support them based on their relative importance to achieving a stated measurable goal or outcome. Using the same triage categories employed by military medical and disaster medical services, business processes are categorized as essential/critical (red) important/urgent (yellow), or optional/supportive (green). In a business triage model, resources are allocated based on the outcome/goal and process category/rank, with resources first dedicated to red, then yellow, and finally green categories. In the event that resources become limited, resources are first withheld from green, then yellow categories. Resources are only withheld from red categories if failure to achieve outcomes/goals is acceptable. History First ...
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Task Mining
Task may refer to: * Task (computing), in computing, a program execution context * Task (language instruction) refers to a certain type of activity used in language instruction * Task (project management), an activity that needs to be accomplished within a defined period of time * Task (teaching style) * TASK party, a series of improvisational participatory art-related events organized by artist Oliver Herring * Two-pore-domain potassium channel, a family of potassium ion channels See also * The Task (other) * Task force (other) * Task switching (other) Task switching may refer to: * Context switching in computing * Task switching (psychology) Task switching, or set-shifting, is an executive function that involves the ability to ''unconsciously'' shift attention between one task and another. In ...
* {{disambiguation ...
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Process Analysis
Process analysis is a form of technical writing and expository writing "designed to convey to the reader how a change takes place through a series of stages". While the traditional process analysis and a set of instructions are both organized chronologically, the reader of a process analysis is typically interested in understanding the chronological components of a system that operates largely without the reader's direct actions (such as how the body digests an apple), while the reader of a set of instructions intends to use the instructions in order to accomplish a specific, limited task (such as how to bake an apple pie). By contrast, the reader of a mechanism description is more interested in an object in space (such as the form and nutritional value of a particular kind of apple). References {{Reflist See also * Process mining Process mining is a family of techniques relating the fields of data science and process management to support the analysis of operational proces ...
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Business Process Management
Business process management (BPM) is the discipline in which people use various methods to discover, model, analyze, measure, improve, optimize, and automate business processes. Any combination of methods used to manage a company's business processes is BPM. Processes can be structured and repeatable or unstructured and variable. Though not required, enabling technologies are often used with BPM. It can be differentiated from program management in that program management is concerned with managing a group of inter-dependent projects. From another viewpoint, process management includes program management. In project management, process management is the use of a repeatable process to improve the outcome of the project. Key distinctions between process management and project management are repeatability and predictability. If the structure and sequence of work is unique, then it is a project. In business process management, a sequence of work can vary from instance to instance: t ...
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Petri Nets
A Petri net, also known as a place/transition (PT) net, is one of several mathematical modeling languages for the description of distributed systems. It is a class of discrete event dynamic system. A Petri net is a directed bipartite graph that has two types of elements, places and transitions. Place elements are depicted as white circles and transition elements are depicted as rectangles. A place can contain any number of tokens, depicted as black circles. A transition is enabled if all places connected to it as inputs contain at least one token. Some sources state that Petri nets were invented in August 1939 by Carl Adam Petri—at the age of 13—for the purpose of describing chemical processes. Like industry standards such as UML activity diagrams, Business Process Model and Notation, and event-driven process chains, Petri nets offer a graphical notation for stepwise processes that include choice, iteration, and concurrent execution. Unlike these standards, Petri nets ha ...
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Process Mining
Process mining is a family of techniques relating the fields of data science and process management to support the analysis of operational processes based on event logs. The goal of process mining is to turn event data into insights and actions. Process mining is an integral part of data science, fueled by the availability of event data and the desire to improve processes. Process mining techniques use event data to show what people, machines, and organizations are really doing. Process mining provides novel insights that can be used to identify the executional path taken by operational processes and address their performance and compliance problems. Process mining starts from event data. Input for process mining is an event log. An event log views a process from a particular angle. Each event in the log should contain (1) a unique identifier for a particular process instance (called case id), (2) an activity (description of the event that is occurring), and (3) a timestamp. There ...
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Unstructured Data
Unstructured data (or unstructured information) is information that either does not have a pre-defined data model or is not organized in a pre-defined manner. Unstructured information is typically text-heavy, but may contain data such as dates, numbers, and facts as well. This results in irregularities and ambiguities that make it difficult to understand using traditional programs as compared to data stored in fielded form in databases or annotated ( semantically tagged) in documents. In 1998, Merrill Lynch said "unstructured data comprises the vast majority of data found in an organization, some estimates run as high as 80%." It's unclear what the source of this number is, but nonetheless it is accepted by some. Other sources have reported similar or higher percentages of unstructured data. , IDC and Dell EMC project that data will grow to 40 zettabytes by 2020, resulting in a 50-fold growth from the beginning of 2010. More recently, IDC and Seagate predict that the global datas ...
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Business Intelligence
Business intelligence (BI) comprises the strategies and technologies used by enterprises for the data analysis and management of business information. Common functions of business intelligence technologies include reporting, online analytical processing, analytics, dashboard development, data mining, process mining, complex event processing, business performance management, benchmarking, text mining, predictive analytics, and prescriptive analytics. BI tools can handle large amounts of structured and sometimes unstructured data to help identify, develop, and otherwise create new strategic business opportunities. They aim to allow for the easy interpretation of these big data. Identifying new opportunities and implementing an effective strategy based on insights can provide businesses with a competitive market advantage and long-term stability, and help them take strategic decisions. Business intelligence can be used by enterprises to support a wide range of business decisi ...
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