The document discusses analytics tools and processes for analyzing e-commerce user data from a new website. It outlines steps for tracking user actions with Heap, defining significant actions, discovering drop-offs, and mapping events to e-commerce categories. Tools mentioned include Heap, Disco, QlikView, Google Analytics, and WunderdataBI for analyzing user paths and abandoned carts. The back-end order fulfillment process is also discussed. Contact information is provided to learn more.
Intelligent Process Management & Visualization TechnologiesDafna Levy
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The document details a workshop presentation by Dafna Levy about intelligent process management and process visualization techniques in the context of ERP systems, specifically focusing on Priority ERP. Key topics include the use of process mining technology to identify inefficiencies, analyze business processes, and improve operational performance through real-time monitoring and visualization of data. The presentation emphasizes the value of automatic process discovery for enhancing business intelligence and process control in various operational settings such as sales, purchasing, and production.
How to Make Awesome ºÝºÝߣShares: Tips & TricksºÝºÝߣShare
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The document outlines key strategies for optimizing content on ºÝºÝߣshare to enhance online visibility and professional opportunities. It emphasizes the importance of creating engaging, visual content that appeals to the audience while leveraging SEO capabilities to increase discoverability. Additionally, it provides practical tips for repurposing existing content and maximizing social media reach to encourage virality.
ºÝºÝߣShare is a global platform for sharing presentations, infographics, videos and documents. It has over 18 million pieces of professional content uploaded by experts like Eric Schmidt and Guy Kawasaki. The document provides tips for setting up an account on ºÝºÝߣShare, uploading content, optimizing it for searchability, and sharing it on social media to build an audience and reputation as a subject matter expert.
This document discusses intelligent process management through process intelligence. Process intelligence integrates automatic process discovery, machine learning techniques, and advanced business discovery technology to analyze historical event log data and generate visual models of business processes. It can be used to improve operational efficiency by establishing patterns between external and internal events and allowing management to monitor operations and key performance indicators in real-time. Process intelligence provides an integrated view of a company's performance from process perspectives and alerts management to correct deviations in ongoing processes.
This document discusses intelligent process management through process intelligence. Process intelligence integrates automatic process discovery, machine learning techniques, and advanced business discovery technology to analyze historical event log data and generate visual models of business processes. It can be used to improve operational efficiency by establishing patterns between external and internal events and allowing management to monitor operations and key performance indicators in real-time. Process intelligence provides an integrated view of a company's performance from process perspectives and alerts management to correct deviations in ongoing processes.
The document discusses the significance of integrating performance measurement with business processes through tools like automatic process discovery and business intelligence solutions. It emphasizes the need for real-time monitoring and analysis of operational KPIs to identify inefficiencies and improve organizational performance. The examples provided include dashboards for sales management, production analysis, and warehouse operations, highlighting the benefits of visualizing operational data and discovering root causes of process deviations.
Discovery of Production Processes - TutorialDafna Levy
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The document provides an overview of discovering production processes within the Priority ERP system, detailing the steps for self-discovery and analysis of production workflows. It outlines the types of deliverables that can be generated, including process maps and performance analyses, and discusses the use of Disco software for process visualization. Additional resources and contact information for further queries are also included.
Becoming a Process Minding Organization - a Solution OverviewDafna Levy
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The document outlines the importance of linking financial metrics to process performance for improving business outcomes, advocating for real-time process monitoring and analysis. It introduces a business discovery solution using QlikView to visualize sales data and operational KPIs, enabling managers to identify inefficiencies in processes. The proposal emphasizes the integration of process mining technologies for improved performance insights and decision-making in business processes.
Process mining can help organizations in three key ways:
1. It provides an objective view of "as-is" business processes by analyzing data from existing IT systems. This reveals inefficiencies like hidden activities, idle times, and bottlenecks.
2. It verifies compliance by comparing actual processes to approved models and rules. This can discover compliance issues like skipped activities or violations of rules.
3. It provides insights for improvement like comparing employee performance and understanding social collaboration patterns. Process mining gets an accurate picture of processes to discover waste and monitor the effects of changes.
This document describes how manufacturing intelligence software can analyze production data to create accurate models of the actual production process. Some key capabilities include mapping the executed production processes, identifying deviations from planned routings, analyzing machine and operator performance, locating bottlenecks, and comparing work orders, parts, and workers. The software extracts data from ERP or MES systems, builds visual process models in Disco based on that data, and allows filtering and comparison of work orders, cells, machines, and other factors to reveal issues like long idle times, breakdowns, or sources of rework or rejected parts. This helps manufacturing professionals better understand complex production processes and identify areas for improvement.
The document outlines a method for visualizing and analyzing service call processes in Priority ERP using process mining techniques. It discusses identifying bottlenecks, SLA compliance, performance metrics, and the effectiveness of business rules through data analysis and visualization tools like Disco. The next steps include exploring Disco's functionalities and potential pilot projects.
The document discusses business requirements analysis within enterprises, emphasizing the importance of process-oriented management and addressing gaps in understanding between business and IT personnel. It outlines goals for business process improvement, detailing methods like modeling, automation, and enterprise architecture frameworks to optimize workflows. The text also highlights the significance of clear communication and consensus among stakeholders to enhance project outcomes and reduce inefficiencies.
1) The document discusses business process management (BPM) and related topics like workflow modeling, BPR, Six Sigma, and BPMN.
2) It provides examples of workflow modeling concepts like swimlanes and token passing in workflows.
3) It emphasizes that BPM and workflow can help organizations by improving processes, aligning functions, and creating a competitive advantage through differentiation.
The document discusses getting traction for process improvement initiatives. It notes that people often have negative reactions to the word "process" and see it as boring, dehumanizing, or a threat to their jobs. It emphasizes the importance of clearly defining what constitutes a business process and providing guidelines for naming and understanding processes. These include processes being triggered by external events and having discrete, countable results. The document also stresses that while functions are important and efficient, they can conflict with overall process goals if the process is not clearly defined and managed as a whole. It argues for identifying process owners to set direction and resolve conflicts between functions.
Analyzing Business Requirements in a Visible EnterpriseDafna Levy
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The document discusses business requirements analysis and process modeling using Metastorm Provision BPA. It describes how BPA can be used to close gaps in business processes by providing a common language between business and IT. BPA captures requirements as software models to gain consensus and jointly analyze and design processes.
The document discusses business performance management (BPM), business intelligence (BI), and business rules (BR). It covers how BPM, BI, and BR relate to and support each other. It also addresses how to measure and score the relationship between BPM and BR as well as between BPM and BI.