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Process Mining and Data-Science projectsProcess mining, BPM, petri-net, 6 sigma, CMMI, data science, CRISP-DM process, CRISP-DM.
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Process mining, BPM, petri-net, 6 sigma, CMMI, data science, CRISP-DM process, CRISP-DM.
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Process Mining and Data-Science projects | eclecticbits.net Reviews
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Process mining, BPM, petri-net, 6 sigma, CMMI, data science, CRISP-DM process, CRISP-DM.
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Data - Skils - Insights. Data - Skils - Insights. This entry was posted in Uncategorized. May 20, 2015. Leave a Reply Cancel reply. Process mining for managing software. 2012 - 2016 eclecticBits.net. Send to Email Address. Post was not sent - check your email addresses! Email check failed, please try again. Sorry, your blog cannot share posts by email.
Process Mining - eclecticBits.net
http://www.eclecticbits.net/process-mining
Data - Skils - Insights. Data - Skils - Insights. Transparency where it belongs:. In businesses and operational processes serving consumers. Process Mining – an emerging practice at the interface of. Business, data and execution views. Use Event Logs to discover your process model. If your IT records the execution steps for your process:. The actual business rules. Can be discovered automatically. What’s in the Event-Log? That ensures all process activities and their associated timings are captured.
A Data-Science Project Roadmap - eclecticBits.net
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Data - Skils - Insights. Data - Skils - Insights. If you don't know where you are going, you'll end up somewhere else. (Yogi Berra). A Data-Science Project Roadmap. You have a set of “business objectives”. You know the goals, constraints and priorities. Here are some steps that will help you translate “business objectives” into a concrete and actionable roadmap for your data-science project. Refine the business’ objectives. Data items and data sources. Ask: are there ideal. Are there natural groupings.
Data: Preparation, Transformation, Quality - eclecticBits.net
http://www.eclecticbits.net/data-quality
Data - Skils - Insights. Data - Skils - Insights. We tend to overvalue the things we can measure and undervalue the things we cannot. (John Hayes). Data: Preparation, Transformation, Quality. Understanding and Preparing the Data. The data you currently have may or may not be sufficient or adequate to answer the questions you have. It may need to be supplemented by external sources or by new attributes (from KPI or others). Always, take stock of what is available now. Are any such groupings even known.
Engineering and Execution Skills - eclecticBits.net
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Data - Skils - Insights. Data - Skils - Insights. Engineering and Execution Skills. To each project we bring experience, deep knowledge and execution skills across divergent domains. Towards a solution that captures the process details. Models and model parameters, relevant assumptions and evaluation criteria, such as confidence levels, cost functions, etc) at an appropriate maturity level. To facilitate knowledge acquisition, transfer and evolution. In the form of schemas; repeatable processes.
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Process Mining and Data-Science projects
Data - Skills - Insights. Data - Skills - Insights. Harvest Aggregate Mash Link Model. Model Mine Infer Orchestrate Automate. Learn Discover Reach Respond Predict. Process Mining and Data-Science projects. Every business has a process but often, not every business owner knows their process, its variations, how repeatable or mature the process is. Not knowing the process prevents you from controlling it, improving it and the quality of your product, and ultimately expanding your reach. And at reduced costs.
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