Automated Business Process Discovery (ABPD) - Revision history

https://cio-wiki.net//index.php?action=history&feed=atom&title=Automated_Business_Process_Discovery_%28ABPD%29 Automated Business Process Discovery (ABPD) - Revision history 2026-06-04T04:55:26Z Revision history for this page on the wiki MediaWiki 1.35.1 https://cio-wiki.net//index.php?title=Automated_Business_Process_Discovery_(ABPD)&diff=8497&oldid=prev User at 23:28, 24 March 2021 2021-03-24T23:28:14Z

<p></p> <table class="diff diff-contentalign-left diff-editfont-monospace" data-mw="interface"> <col class="diff-marker" /> <col class="diff-content" /> <col class="diff-marker" /> <col class="diff-content" /> <tr class="diff-title" lang="en"> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">← Older revision</td> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Revision as of 23:28, 24 March 2021</td> </tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l1" >Line 1:</td> <td colspan="2" class="diff-lineno">Line 1:</td></tr> <tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>'''Automated Business Process Discovery (ABPD)''' is a specific kind of [[Business Process Analytics|business process analysis]] that is largely automated and relies heavily on [[Algorithm|algorithmic]] and [[Computational Logic|computational logic]] building. The principle of ABPD is that similar types of [[Business Analysis|business analysis]] tools automatically gather [[Data|data]] from documents such as audits and event logs, and compile it into useful information that not only identifies [[Process Model|process models]], but also explores variations and gives users a much better picture of what a specific business process looks like, and how changes would affect the business as a whole. Automated Business Process Discovery is also known as process mining.<ref>Definition - What Does Automated Business Process Discovery (ABPD) Mean? [https://www.techopedia.com/definition/29301/automated-business-process-discovery-abpd Techopedia]</ref></div></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>'''Automated Business Process Discovery (ABPD)''' is a specific kind of [[Business Process Analytics|business process analysis]] that is largely automated and relies heavily on [[Algorithm|algorithmic]] and [[Computational Logic|computational logic]] building. The principle of ABPD is that similar types of [[Business Analysis|business analysis]] tools automatically gather [[Data|data]] from documents such as audits and event logs, and compile it into useful information that not only identifies [[Process Model|process models]], but also explores variations and gives users a much better picture of what a specific business process looks like, and how changes would affect the business as a whole. Automated Business Process Discovery is also known as process mining.<ref>Definition - What Does Automated Business Process Discovery (ABPD) Mean? [https://www.techopedia.com/definition/29301/automated-business-process-discovery-abpd Techopedia]</ref></div></td></tr> <tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td></tr> <tr><td class='diff-marker'>−</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>Automated business process discovery (ABPD) as a complementary approach overcomes many of these shortcomings to create a [[Business Process Model|business process model]] at a fraction of the time and cost involved in the traditional way. One major benefit of ABPD is process discovery across the “white space,” the process knowledge gap that exists between departments and functions and at the edges of processes. Modeling can be done by hand, so there may be no [[Cash Flow|cash-flow]] impact, unlike ABPD, where a tool is necessary. By observing the details of how processes are executed in the supporting technology, ABPD uses [[Unstructured Data|unstructured, event-level data]] to automatically build process definitions and models, and explore process variations. Because of the quantitative nature of this data, the derived process models enable rich and interactive [[Business Analysis|analysis]]. ABPD techniques start from event logs (audit trails, messages, transactions, databases and so forth), and try to discover patterns to fit a process model to the information obtained from the events. The underlying techniques are strong enough so that users don’t have to specify a process model; it is created from scratch by pattern recognition. Moreover, ABPD delivers information on bottlenecks, variances, root causes and the distribution of the process instances, thus enabling meaningful simulation. It’s all about capturing what has happened in a real-life process. ABPD is a form of process optimization. ABPD does not capture informal human tasks that are not automated and represented as events in an audit trail or transaction log. This is why ABPD is best combined with techniques from social [[Business Process Management (BPM)|BPM]] and [[Business Process <del class="diffchange diffchange-inline">Architecture</del>|BPA]] for the masses. However, ABPD accelerates process discovery and identifies previously unseen process patterns. Planners must still conduct interviews to capture informal work practices, but [[Organization|organizations]] no longer need to spend as much time using interviews to discover the implicit processes previously hidden in automated solutions.<ref>Understanding Automated Business Process Discovery (ABPD) [https://www.gartner.com/en/information-technology/glossary/automated-business-process-discovery-abpd Gartner]</ref></div></td><td class='diff-marker'>+</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>Automated business process discovery (ABPD) as a complementary approach overcomes many of these shortcomings to create a [[Business Process Model|business process model]] at a fraction of the time and cost involved in the traditional way. One major benefit of ABPD is process discovery across the “white space,” the process knowledge gap that exists between departments and functions and at the edges of processes. Modeling can be done by hand, so there may be no [[Cash Flow|cash-flow]] impact, unlike ABPD, where a tool is necessary. By observing the details of how processes are executed in the supporting technology, ABPD uses [[Unstructured Data|unstructured, event-level data]] to automatically build process definitions and models, and explore process variations. Because of the quantitative nature of this data, the derived process models enable rich and interactive [[Business Analysis|analysis]]. ABPD techniques start from event logs (audit trails, messages, transactions, databases and so forth), and try to discover patterns to fit a process model to the information obtained from the events. The underlying techniques are strong enough so that users don’t have to specify a process model; it is created from scratch by pattern recognition. Moreover, ABPD delivers information on bottlenecks, variances, root causes and the distribution of the process instances, thus enabling meaningful simulation. It’s all about capturing what has happened in a real-life process. ABPD is a form of process optimization. ABPD does not capture informal human tasks that are not automated and represented as events in an audit trail or transaction log. This is why ABPD is best combined with techniques from social [[Business Process Management (BPM)|BPM]] and [[Business Process <ins class="diffchange diffchange-inline">Analysis</ins>|BPA]] for the masses. However, ABPD accelerates process discovery and identifies previously unseen process patterns. Planners must still conduct interviews to capture informal work practices, but [[Organization|organizations]] no longer need to spend as much time using interviews to discover the implicit processes previously hidden in automated solutions.<ref>Understanding Automated Business Process Discovery (ABPD) [https://www.gartner.com/en/information-technology/glossary/automated-business-process-discovery-abpd Gartner]</ref></div></td></tr>  </table>

User https://cio-wiki.net//index.php?title=Automated_Business_Process_Discovery_(ABPD)&diff=8492&oldid=prev User at 22:51, 24 March 2021 2021-03-24T22:51:44Z

<p></p> <table class="diff diff-contentalign-left diff-editfont-monospace" data-mw="interface"> <col class="diff-marker" /> <col class="diff-content" /> <col class="diff-marker" /> <col class="diff-content" /> <tr class="diff-title" lang="en"> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">← Older revision</td> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Revision as of 22:51, 24 March 2021</td> </tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l1" >Line 1:</td> <td colspan="2" class="diff-lineno">Line 1:</td></tr> <tr><td class='diff-marker'>−</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>'''<del class="diffchange diffchange-inline">Content Coming Soon</del>'''</div></td><td class='diff-marker'>+</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>'''<ins class="diffchange diffchange-inline">Automated Business Process Discovery (ABPD)</ins>''' <ins class="diffchange diffchange-inline">is a specific kind of [[Business Process Analytics|business process analysis]] that is largely automated and relies heavily on [[Algorithm|algorithmic]] and [[Computational Logic|computational logic]] building. The principle of ABPD is that similar types of [[Business Analysis|business analysis]] tools automatically gather [[Data|data]] from documents such as audits and event logs, and compile it into useful information that not only identifies [[Process Model|process models]], but also explores variations and gives users a much better picture of what a specific business process looks like, and how changes would affect the business as a whole. Automated Business Process Discovery is also known as process mining.<ref>Definition - What Does Automated Business Process Discovery (ABPD) Mean? [https://www.techopedia.com/definition/29301/automated-business-process-discovery-abpd Techopedia]</ref></ins></div></td></tr> <tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div> </div></td></tr> <tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins class="diffchange diffchange-inline">Automated business process discovery (ABPD) as a complementary approach overcomes many of these shortcomings to create a [[Business Process Model|business process model]] at a fraction of the time and cost involved in the traditional way. One major benefit of ABPD is process discovery across the “white space,” the process knowledge gap that exists between departments and functions and at the edges of processes. Modeling can be done by hand, so there may be no [[Cash Flow|cash-flow]] impact, unlike ABPD, where a tool is necessary. By observing the details of how processes are executed in the supporting technology, ABPD uses [[Unstructured Data|unstructured, event-level data]] to automatically build process definitions and models, and explore process variations. Because of the quantitative nature of this data, the derived process models enable rich and interactive [[Business Analysis|analysis]]. ABPD techniques start from event logs (audit trails, messages, transactions, databases and so forth), and try to discover patterns to fit a process model to the information obtained from the events. The underlying techniques are strong enough so that users don’t have to specify a process model; it is created from scratch by pattern recognition. Moreover, ABPD delivers information on bottlenecks, variances, root causes and the distribution of the process instances, thus enabling meaningful simulation. It’s all about capturing what has happened in a real-life process. ABPD is a form of process optimization. ABPD does not capture informal human tasks that are not automated and represented as events in an audit trail or transaction log. This is why ABPD is best combined with techniques from social [[Business Process Management (BPM)|BPM]] and [[Business Process Architecture|BPA]] for the masses. However, ABPD accelerates process discovery and identifies previously unseen process patterns. Planners must still conduct interviews to capture informal work practices, but [[Organization|organizations]] no longer need to spend as much time using interviews to discover the implicit processes previously hidden in automated solutions.<ref>Understanding Automated Business Process Discovery (ABPD) [https://www.gartner.com/en/information-technology/glossary/automated-business-process-discovery-abpd Gartner]</ref></ins></div></td></tr>  </table>

User https://cio-wiki.net//index.php?title=Automated_Business_Process_Discovery_(ABPD)&diff=547&oldid=prev User: Created page with "'''Content Coming Soon'''" 2018-12-04T16:19:30Z

<p>Created page with "'''Content Coming Soon'''"</p> <p><b>New page</b></p><div>'''Content Coming Soon'''</div>

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