Nelson rules
•
0 likes•2,065 views
The document describes 8 rules for identifying problems in data based on patterns in points that are above or below the mean. Rule 1 looks for a single point more than 3 standard deviations from the mean. Rule 2 looks for 9 or more points in a row on the same side of the mean. Rule 3 looks for 6 or more points continually increasing or decreasing in a trend.
Report
Share
Report
Share
Recommended
Uplc
This document compares HPLC and UPLC and provides an overview of UPLC. UPLC uses smaller particle sizes of 1.75-1.8 μm compared to 3-10 μm for HPLC, which allows for higher pressures over 15,000 psi, improved precision, faster analysis times, and higher resolution. The key factors that enable improved performance in UPLC are increased efficiency through smaller particle sizes and improved selectivity, retentivity, and efficiency. UPLC also provides increased sensitivity, faster run times, and the ability to analyze more samples due to its enhanced resolving power. The document discusses UPLC stationary phases, columns, instrumentation including pumps, columns, and detectors, as well as applications of UPLC in areas like method
Statistical Process Control
Basics of Statistical Process Control. It Contains Variation, Variability, Control Charts, Process Capability, Process Capability indices.
Statistical process control
This document summarizes a seminar on statistical process control. It discusses key topics like process capability, estimating inherent capability from control charts, and Juran's 10 steps for quality improvement. Process capability refers to a process's ability to achieve results within specifications. It is quantified using indices like Cp and Cpk which measure potential and performance based on process data. Assumptions like statistical control are important for accurately applying these indices. Quality improvement involves building awareness, setting goals, training, implementing projects, and maintaining momentum through regular systems.
The Principles of Quality Management
The Principles of Quality Management
Workshop on laboratory basics and fundamentals of ISO Quality Management Standards
March 21-22, 2018, Kyiv, Ukraine
Basics of Process Capability
The document discusses process capability and assessing whether a process is capable of meeting customer requirements. It provides definitions of key terms like capable process, process capability ratios (Cp and Cpk), and discusses the differences between short-term and long-term capability studies. Short-term studies look at random variation over days/weeks using 30-50 data points, while long-term studies examine non-random sources of variation over weeks/months using 100-200 data points. The document warns that capability assessments only indicate potential performance if the process is stable and in control.
Empower 3 Chromatography Data Software
Empower 3 Chromatography Data Software (CDS) helps your entire analytical laboratory operate better with advanced chromatography data acquisition, management, processing, and reporting that grows to meet your laboratory’s changing needs — easily scalable from a single workstation to an enterprise-wide network. In an Empower environment records are traceable so you always have full control of your data.
Process validation ppt.
This document discusses process validation in the pharmaceutical industry. It defines process validation and describes it as having three stages: process design, process qualification, and continued process verification. The objectives and requirements of each stage are explained. Process validation helps ensure a process consistently produces products meeting specifications and quality attributes. It involves understanding and controlling sources of variation. Validation protocols, reports, teams, and the lifecycle are also reviewed to explain how process validation is planned and documented.
Typical Quality Management System Based On Iso 9001 2008
This document outlines the key elements of a quality management system (QMS) based on ISO 9001:2008. It discusses the objectives of implementing a QMS, including achieving organizational success and meeting requirements. The QMS focuses on customer focus, leadership, involvement of people, process approach, and continual improvement. It addresses management responsibility, resource management, product realization, measurement and improvement to ensure a process-based approach that meets customer needs and enhances supplier relationships.
Recommended
Uplc
This document compares HPLC and UPLC and provides an overview of UPLC. UPLC uses smaller particle sizes of 1.75-1.8 μm compared to 3-10 μm for HPLC, which allows for higher pressures over 15,000 psi, improved precision, faster analysis times, and higher resolution. The key factors that enable improved performance in UPLC are increased efficiency through smaller particle sizes and improved selectivity, retentivity, and efficiency. UPLC also provides increased sensitivity, faster run times, and the ability to analyze more samples due to its enhanced resolving power. The document discusses UPLC stationary phases, columns, instrumentation including pumps, columns, and detectors, as well as applications of UPLC in areas like method
Statistical Process Control
Basics of Statistical Process Control. It Contains Variation, Variability, Control Charts, Process Capability, Process Capability indices.
Statistical process control
This document summarizes a seminar on statistical process control. It discusses key topics like process capability, estimating inherent capability from control charts, and Juran's 10 steps for quality improvement. Process capability refers to a process's ability to achieve results within specifications. It is quantified using indices like Cp and Cpk which measure potential and performance based on process data. Assumptions like statistical control are important for accurately applying these indices. Quality improvement involves building awareness, setting goals, training, implementing projects, and maintaining momentum through regular systems.
The Principles of Quality Management
The Principles of Quality Management
Workshop on laboratory basics and fundamentals of ISO Quality Management Standards
March 21-22, 2018, Kyiv, Ukraine
Basics of Process Capability
The document discusses process capability and assessing whether a process is capable of meeting customer requirements. It provides definitions of key terms like capable process, process capability ratios (Cp and Cpk), and discusses the differences between short-term and long-term capability studies. Short-term studies look at random variation over days/weeks using 30-50 data points, while long-term studies examine non-random sources of variation over weeks/months using 100-200 data points. The document warns that capability assessments only indicate potential performance if the process is stable and in control.
Empower 3 Chromatography Data Software
Empower 3 Chromatography Data Software (CDS) helps your entire analytical laboratory operate better with advanced chromatography data acquisition, management, processing, and reporting that grows to meet your laboratory’s changing needs — easily scalable from a single workstation to an enterprise-wide network. In an Empower environment records are traceable so you always have full control of your data.
Process validation ppt.
This document discusses process validation in the pharmaceutical industry. It defines process validation and describes it as having three stages: process design, process qualification, and continued process verification. The objectives and requirements of each stage are explained. Process validation helps ensure a process consistently produces products meeting specifications and quality attributes. It involves understanding and controlling sources of variation. Validation protocols, reports, teams, and the lifecycle are also reviewed to explain how process validation is planned and documented.
Typical Quality Management System Based On Iso 9001 2008
This document outlines the key elements of a quality management system (QMS) based on ISO 9001:2008. It discusses the objectives of implementing a QMS, including achieving organizational success and meeting requirements. The QMS focuses on customer focus, leadership, involvement of people, process approach, and continual improvement. It addresses management responsibility, resource management, product realization, measurement and improvement to ensure a process-based approach that meets customer needs and enhances supplier relationships.
Statistical control chart
This presentation discusses statistical control charts which are tools used in pharmaceutical manufacturing to determine if a process is in statistical control. It defines control charts and explains that they provide a visual representation to monitor a process and identify instances where the process may be going out of control. The presentation covers the objectives, principles, types of control charts including variable and attribute charts, their characteristics and benefits such as improving quality, productivity and reducing defects. It also discusses using control charts to evaluate process capabilities.
Quality metrics
Quality Metrics are used to monitor the overall quality of pharmaceutical products and helps to improve product quality and implementing the culture in manufacturing facility.
Statistical Process Control (SPC) in a Nutshell
Statistical process control aims to reduce variation in products and services by distinguishing between common cause variation, which is normal variation, and special cause variation, which occurs when something changes in the process. It does this by using statistical limits and control charts to detect when a process shifts due to special causes of variation. Histograms can also be used to visualize reductions in variation by comparing data from before and after quality improvement efforts.
How to Design a Quality system that meets compliance requirements 2014
The document provides an overview of how to design a quality system that meets compliance requirements for medical devices, biotech, and pharmaceutical companies. It discusses key quality concepts like quality management systems, processes, procedures, responsibilities, and resources. It explains that a quality management system has two parts - quality assurance and quality control. It also reviews the main regulatory requirements for quality systems from standards like the Quality System Regulation, ISO 13485, ISO 9001, and the EU Medical Device Directive. These standards require organizations to establish documented quality policies, procedures, processes, manuals, audits and management reviews to ensure compliance.
Understanding Bioanalytical Method Validation in a Regulatory Perspective
The document provides an overview of bioanalytical method development and validation. It discusses key aspects of the process including sample preparation techniques, calibration curves and quality control standards, method validation parameters such as selectivity, specificity, carryover, precision and accuracy, and acceptance criteria. The goal of bioanalytical method validation is to demonstrate that the analytical method is reliable and reproducible for its intended use in quantitatively measuring analytes in a biological matrix.
Statistical process control ppt @ bec doms
The document discusses key concepts in statistical process control including control charts for variables and attributes, process capability, acceptance sampling, and operating characteristic curves. The learning objectives are to identify key terms, describe the role of statistical quality control in measuring process performance using statistics, and explain different types of statistical process control including process control, acceptance sampling, and their use in controlling processes and inspecting samples.
Quality metrics
The document discusses quality metrics that are used in the pharmaceutical industry to monitor quality control systems and processes. It defines three key quality metrics that the FDA intends to calculate: (1) Lot Acceptance Rate (LAR), which measures the number of accepted lots versus total lots started; (2) Invalidated Out-of-Specification Rate (IOOSR), which measures invalidated out-of-specification test results versus total out-of-specification results; and (3) Product Quality Complaint Rate (PQCR), which measures the number of quality complaints received versus total units distributed. Quality metrics are important to ensure acceptable product quality and assess performance and improvements.
Review of-batch-production-records
The document provides background on the importance of batch production records (BPRs) in manufacturing drug products. It discusses the regulatory basis for BPRs in the Current Good Manufacturing Practices regulation. BPRs must be reviewed by quality control to ensure compliance with standards before a batch is released. The review process should be standardized through standard operating procedures, checklists, and documentation of any exceptions. The review verifies that critical manufacturing steps and parameters were followed correctly.
Analytical method validation
This document discusses validation in the pharmaceutical industry. It begins by defining validation as establishing evidence that a process maintains compliance. It then discusses why validation is important, including that regulatory agencies require validation to ensure consistent, reproducible results. It outlines the types of validation including equipment, facilities, analytical methods, and more. It focuses on analytical method validation, discussing parameters like accuracy, precision, specificity, and more. It emphasizes that validation is necessary to confirm analytical procedures consistently produce the intended results.
Statistical Process Control,Control Chart and Process Capability
This document provides an overview of statistical process control (SPC). It discusses the key concepts of SPC including the 5M's (man, machine, material, method, milieu), control chart basics, process variability, common SPC tools like control charts, histograms, Pareto charts, and their purposes. Control charts are described as the most important SPC tool for distinguishing common from special cause variation to monitor if a process is in control. The document also covers variable and attribute control charts and considerations for chart selection based on data type.
Methods and Philosophy of SPC
- Seven tools;
- Process variability;
- Important use of the control chart;
- Statistical basis of the control chart:
> Basic principles and type of control chart;
> Choice of control limits;
> Sampling size and sampling frequency;
> Average run length;
> Rational subgroups;
> Analysis of patterns on control charts;
> Sensitizing rules for control charts;
> Phase I and Phase II of control chart.
00 - Introduction to the Course - ESTIEM Lean Six Sigma Green Belt Course
These slides are part of the ESTIEM Lean Six Sigma Green Belt course which also includes 13hr of video by Gregory H. Watson.
For more info about the ESTIEM Lean Six Sigma Green Belt course visit https://internal.estiem.org/leansixsigma
Process validation
This presentation was made to solely for students to make them aware/ understand basics of “Validation”. These slides are part of lectures delivered in M. Pharmacy Curriculum & taken up from various books and websites
Handling of OOS Dr.A. Amsavel
Handling of OOS, OOS investigation.
Barr Lab Background, OOS definition, regulatory requirement, Lab Investigation, Phase-I&II, reporting, conclusion, minimising OOS, Citation related to OOS
NG BB 25 Measurement System Analysis - Attribute
This document discusses measurement system analysis for attribute data. It explains that attribute or ordinal measurement systems use accept/reject criteria or ratings to determine quality levels. The Kappa and Kendall techniques can be used to evaluate attribute and ordinal measurement systems, respectively. These methods assess consistency between raters when classifying units. Having clear operational definitions is important for attribute measurements, as poor agreement between raters usually stems from unclear definitions. Failing to evaluate attribute measurement systems before using the data can lead to making flawed decisions if the system is inconsistent.
Statistical process control (spc)
Statistical Process Control (SPC) uses statistical methods like control charts to monitor and control processes by distinguishing between common and assignable causes of variation, with the goal of keeping processes stable and within specification limits through the detection and elimination of assignable causes. SPC analyzes variables and attributes data through techniques such as x-charts, R-charts, and p-charts to measure factors like the central tendency and dispersion of a process. Process capability analysis compares the natural variation in a process to specification limits to determine if the process is capable of consistently meeting customer requirements.
Quality Management
Japan faced criticism for low quality products in the 1960s but implemented effective quality management that transformed its reputation. Quality management ensures consistency through planning, assurance, control, and improvement. It uses tools like control charts, histograms, and flow charts. Customer perceptions of quality are measured using SERVQUAL criteria of reliability, assurance, tangibles, empathy and responsiveness. International standards like ISO 9000 define quality systems. Total quality management involves all employees continuously improving processes, products, services and culture through principles like customer focus, communication and fact-based decision making. The PDCA (plan-do-check-act) cycle is used for process improvement. Six Sigma aims to define, measure, analyze, improve and control quality within processes.
Quality assurance vs Quality control
BugRaptors has domain expertise team skilled in working with various test models like Sequential & Agile. We provide users with quality consultancy. They help users from all over the world to clear all their doubts and issues on any type or kind of testing. Either it’s Automation, Security or any kind of testing, We have team which is highly experienced in all types of testing. It helps in developing great quality products. We have well experienced team of manual as well as Automation testing. The main focus of BugRaptors team is quality because the Life is better with lesser issues in it.
ICH Q 10 guidline
This document presents an overview of the Pharmaceutical Quality Systems (ICH Q10) guideline. ICH Q10 establishes a quality management system model for the pharmaceutical industry and was intended to help companies comply with Good Manufacturing Practices. The objectives of ICH Q10 are to achieve product realization, establish control, and facilitate continual improvement. ICH Q10 also discusses management responsibility, risk management, challenges of implementing the new system, and the relationship between ICH Q10 and other quality standards like GMP.
Root Cause Analysis
Root cause analysis plays an important role in implementation of Corrective and preventive action of laboratory medicine.
Utility Protects Servers and Simpli es Compliance with Access Management
This major South Western Electric & Power Company serves more than 375,000 customers. As the electric and power provider enters its third century of operations, the company continues to a nd innovative ways to provide reliability, service and value to customers and the community.
Control graphics using nelson rules by luis daniel
This document discusses using various Nelson Rules to provide guidance. Nelson Rules 1, 2, 3, 4, 5, 7 and 8 are referenced as providing direction with some of the rules being used together such as Rules 1 and 7 as well as Rules 4 and 5.
More Related Content
What's hot
Statistical control chart
This presentation discusses statistical control charts which are tools used in pharmaceutical manufacturing to determine if a process is in statistical control. It defines control charts and explains that they provide a visual representation to monitor a process and identify instances where the process may be going out of control. The presentation covers the objectives, principles, types of control charts including variable and attribute charts, their characteristics and benefits such as improving quality, productivity and reducing defects. It also discusses using control charts to evaluate process capabilities.
Quality metrics
Quality Metrics are used to monitor the overall quality of pharmaceutical products and helps to improve product quality and implementing the culture in manufacturing facility.
Statistical Process Control (SPC) in a Nutshell
Statistical process control aims to reduce variation in products and services by distinguishing between common cause variation, which is normal variation, and special cause variation, which occurs when something changes in the process. It does this by using statistical limits and control charts to detect when a process shifts due to special causes of variation. Histograms can also be used to visualize reductions in variation by comparing data from before and after quality improvement efforts.
How to Design a Quality system that meets compliance requirements 2014
The document provides an overview of how to design a quality system that meets compliance requirements for medical devices, biotech, and pharmaceutical companies. It discusses key quality concepts like quality management systems, processes, procedures, responsibilities, and resources. It explains that a quality management system has two parts - quality assurance and quality control. It also reviews the main regulatory requirements for quality systems from standards like the Quality System Regulation, ISO 13485, ISO 9001, and the EU Medical Device Directive. These standards require organizations to establish documented quality policies, procedures, processes, manuals, audits and management reviews to ensure compliance.
Understanding Bioanalytical Method Validation in a Regulatory Perspective
The document provides an overview of bioanalytical method development and validation. It discusses key aspects of the process including sample preparation techniques, calibration curves and quality control standards, method validation parameters such as selectivity, specificity, carryover, precision and accuracy, and acceptance criteria. The goal of bioanalytical method validation is to demonstrate that the analytical method is reliable and reproducible for its intended use in quantitatively measuring analytes in a biological matrix.
Statistical process control ppt @ bec doms
The document discusses key concepts in statistical process control including control charts for variables and attributes, process capability, acceptance sampling, and operating characteristic curves. The learning objectives are to identify key terms, describe the role of statistical quality control in measuring process performance using statistics, and explain different types of statistical process control including process control, acceptance sampling, and their use in controlling processes and inspecting samples.
Quality metrics
The document discusses quality metrics that are used in the pharmaceutical industry to monitor quality control systems and processes. It defines three key quality metrics that the FDA intends to calculate: (1) Lot Acceptance Rate (LAR), which measures the number of accepted lots versus total lots started; (2) Invalidated Out-of-Specification Rate (IOOSR), which measures invalidated out-of-specification test results versus total out-of-specification results; and (3) Product Quality Complaint Rate (PQCR), which measures the number of quality complaints received versus total units distributed. Quality metrics are important to ensure acceptable product quality and assess performance and improvements.
Review of-batch-production-records
The document provides background on the importance of batch production records (BPRs) in manufacturing drug products. It discusses the regulatory basis for BPRs in the Current Good Manufacturing Practices regulation. BPRs must be reviewed by quality control to ensure compliance with standards before a batch is released. The review process should be standardized through standard operating procedures, checklists, and documentation of any exceptions. The review verifies that critical manufacturing steps and parameters were followed correctly.
Analytical method validation
This document discusses validation in the pharmaceutical industry. It begins by defining validation as establishing evidence that a process maintains compliance. It then discusses why validation is important, including that regulatory agencies require validation to ensure consistent, reproducible results. It outlines the types of validation including equipment, facilities, analytical methods, and more. It focuses on analytical method validation, discussing parameters like accuracy, precision, specificity, and more. It emphasizes that validation is necessary to confirm analytical procedures consistently produce the intended results.
Statistical Process Control,Control Chart and Process Capability
This document provides an overview of statistical process control (SPC). It discusses the key concepts of SPC including the 5M's (man, machine, material, method, milieu), control chart basics, process variability, common SPC tools like control charts, histograms, Pareto charts, and their purposes. Control charts are described as the most important SPC tool for distinguishing common from special cause variation to monitor if a process is in control. The document also covers variable and attribute control charts and considerations for chart selection based on data type.
Methods and Philosophy of SPC
- Seven tools;
- Process variability;
- Important use of the control chart;
- Statistical basis of the control chart:
> Basic principles and type of control chart;
> Choice of control limits;
> Sampling size and sampling frequency;
> Average run length;
> Rational subgroups;
> Analysis of patterns on control charts;
> Sensitizing rules for control charts;
> Phase I and Phase II of control chart.
00 - Introduction to the Course - ESTIEM Lean Six Sigma Green Belt Course
These slides are part of the ESTIEM Lean Six Sigma Green Belt course which also includes 13hr of video by Gregory H. Watson.
For more info about the ESTIEM Lean Six Sigma Green Belt course visit https://internal.estiem.org/leansixsigma
Process validation
This presentation was made to solely for students to make them aware/ understand basics of “Validation”. These slides are part of lectures delivered in M. Pharmacy Curriculum & taken up from various books and websites
Handling of OOS Dr.A. Amsavel
Handling of OOS, OOS investigation.
Barr Lab Background, OOS definition, regulatory requirement, Lab Investigation, Phase-I&II, reporting, conclusion, minimising OOS, Citation related to OOS
NG BB 25 Measurement System Analysis - Attribute
This document discusses measurement system analysis for attribute data. It explains that attribute or ordinal measurement systems use accept/reject criteria or ratings to determine quality levels. The Kappa and Kendall techniques can be used to evaluate attribute and ordinal measurement systems, respectively. These methods assess consistency between raters when classifying units. Having clear operational definitions is important for attribute measurements, as poor agreement between raters usually stems from unclear definitions. Failing to evaluate attribute measurement systems before using the data can lead to making flawed decisions if the system is inconsistent.
Statistical process control (spc)
Statistical Process Control (SPC) uses statistical methods like control charts to monitor and control processes by distinguishing between common and assignable causes of variation, with the goal of keeping processes stable and within specification limits through the detection and elimination of assignable causes. SPC analyzes variables and attributes data through techniques such as x-charts, R-charts, and p-charts to measure factors like the central tendency and dispersion of a process. Process capability analysis compares the natural variation in a process to specification limits to determine if the process is capable of consistently meeting customer requirements.
Quality Management
Japan faced criticism for low quality products in the 1960s but implemented effective quality management that transformed its reputation. Quality management ensures consistency through planning, assurance, control, and improvement. It uses tools like control charts, histograms, and flow charts. Customer perceptions of quality are measured using SERVQUAL criteria of reliability, assurance, tangibles, empathy and responsiveness. International standards like ISO 9000 define quality systems. Total quality management involves all employees continuously improving processes, products, services and culture through principles like customer focus, communication and fact-based decision making. The PDCA (plan-do-check-act) cycle is used for process improvement. Six Sigma aims to define, measure, analyze, improve and control quality within processes.
Quality assurance vs Quality control
BugRaptors has domain expertise team skilled in working with various test models like Sequential & Agile. We provide users with quality consultancy. They help users from all over the world to clear all their doubts and issues on any type or kind of testing. Either it’s Automation, Security or any kind of testing, We have team which is highly experienced in all types of testing. It helps in developing great quality products. We have well experienced team of manual as well as Automation testing. The main focus of BugRaptors team is quality because the Life is better with lesser issues in it.
ICH Q 10 guidline
This document presents an overview of the Pharmaceutical Quality Systems (ICH Q10) guideline. ICH Q10 establishes a quality management system model for the pharmaceutical industry and was intended to help companies comply with Good Manufacturing Practices. The objectives of ICH Q10 are to achieve product realization, establish control, and facilitate continual improvement. ICH Q10 also discusses management responsibility, risk management, challenges of implementing the new system, and the relationship between ICH Q10 and other quality standards like GMP.
Root Cause Analysis
Root cause analysis plays an important role in implementation of Corrective and preventive action of laboratory medicine.
What's hot (20)
How to Design a Quality system that meets compliance requirements 2014
How to Design a Quality system that meets compliance requirements 2014
Understanding Bioanalytical Method Validation in a Regulatory Perspective
Understanding Bioanalytical Method Validation in a Regulatory Perspective
Statistical Process Control,Control Chart and Process Capability
Statistical Process Control,Control Chart and Process Capability
00 - Introduction to the Course - ESTIEM Lean Six Sigma Green Belt Course
00 - Introduction to the Course - ESTIEM Lean Six Sigma Green Belt Course
Viewers also liked
Utility Protects Servers and Simpli es Compliance with Access Management
This major South Western Electric & Power Company serves more than 375,000 customers. As the electric and power provider enters its third century of operations, the company continues to a nd innovative ways to provide reliability, service and value to customers and the community.
Control graphics using nelson rules by luis daniel
This document discusses using various Nelson Rules to provide guidance. Nelson Rules 1, 2, 3, 4, 5, 7 and 8 are referenced as providing direction with some of the rules being used together such as Rules 1 and 7 as well as Rules 4 and 5.
Open data and reuse: Issues and challenges for cultural institutions
Presentation of conclusions of pre-event "Open Data and Culture" at the Data +Culture session at IODC16 (Madrid). 06/10/2016
Team Building - Telephone Pictionary
This document provides instructions for a team building activity called "Telephone Pictionary" where groups of 5-10 participants take turns writing short phrases and drawing pictures to create a collaborative story. Each person receives a stack of paper and writes a starting phrase before passing the stack to draw a picture based on that phrase, and subsequent participants add a caption based on the picture without seeing the original phrase, building a narrative as the stack circulates back to the starter. The goal is for the group to then piece together the full story from the random phrases and images.
Big data & analytics for banking new york lars hamberg
BIG DATA & ANALYTICS FOR BANKING SUMMIT, New York, 1 Dec 2015.
Keynote address: "How Predictive Analytics will change the Financial Services Sector”
Speaker : Lars Hamberg
http://www.specialistspeakers.com/?p=8367
Overview & Outlook: Why Big Data will over-deliver on its hype and transform Financial Services; Use cases with Advanced Analytics and Big Data Analytics in Financial Services, in Production & Distribution of banking products; new opportunities for incumbents in tomorrow’s ecosystem; big data, bigdata, analytics, smart data, data analytics, digitization, digitalization, predictive analytics, sentiment analysis, financial services, banking, asset management, distribution, retail, trading, technology, innovation, fintech, wealth, asset management, investment industry, robo advisory, social investing, behavior, profiling, client segmentation, alias matching, semantic memory models, unstructured data, machine learning, pattern recognition
Team Building - Line Up
This document provides instructions for a team-building exercise called "Line Up" that involves participants forming single-file lines according to different criteria. It includes 8 challenges that have participants line up based on things like geography, years of service, birthday, reading habits, height, childhood happiness, fear of death, and opinions on the exercise. The lines are formed between a starting and ending point for each challenge. Additional discussion questions are sometimes provided.
Summary of Insights Learned from the Data Science Program Team Training
Who really has the skills and talents to leverage the most value out of data? The Data Science Program (DSP) was co-founded by Code for Tomorrow and Etu. We believe that building and deploying a data science team consisting of members who possess and have the ability to utilize their different skill sets from a variety of industries is more practical and realistic. Versus hoping to find an individual data scientist who is an expert in a wide variety of technical fields ranging from math, statistics, and visualizations, as well as a solid background in other fields such as business, communication, and etc. The Data Science Program has identified four pertinent categories to place our members into. These four categories are Campaigner, Data Analyst, Data Hygienist, and Designer. Each team will have these four categories filled. During the training every team learns how to do data processing, data analysis, and visualization together with the sole purpose to use these skills to solve a common problem. After four weeks of intensive study, each team comes up with enterprise-grade team projects demonstrating the innovation of data-driven businesses.
After two rounds of DSP Team Training, DSP has accumulated 10 team projects and has graduated more than 60 alumni who are passionate about data science. During this journey of developing and deploying teams trained in data science, the most valuable aspects we walked away with was the witnessing of members growing in confidence from the learning and experience, the building of team work, and the overall growth of each individual. At the end of the day, our hope of as members of DSP, including myself is to instill and motivate more people to devote themselves to the exploration of data science. Now think about how you can do the same.
轉兌數據的價值 — 從導購到策購
This slides desk had been present in the Big Data Taiwan Forum 2013 which was hosted by Wired Taiwan on April 26.
資料科學團隊人才培育分享 ─ 以 DSP 為例
2014.1.16 於東吳大學 [校園海量資料分析人才培育工作坊] 的簡報分享。算是 Data Science Program (DSP) 從緣起、籌備、執行至今的階段性總結 (個人版)。謝謝一路上陪著走的朋友與同事們，讓我們一起擁有組織力。
12.15.16 Dissertations: Publishing & Copyright Workflow
Details a workflow for considering filing/publishing questions, copyright issues, and other legal concerns (privacy, agreements with archives, etc.) to be considered when preparing to file (publish) a UC Berkeley dissertation on ProQuest's ETD Admin system. Also updates participants on some recent changes to the UC Berkeley Graduate Division's dissertation filing procedures.
02.16.17 Licensing Your Research Data for Reuse
This document discusses licensing research data for reuse. It explains that licensing can increase transparency, comply with funder mandates, increase scholarly impact through downstream innovation, and support the commons. The document covers what types of materials can be licensed according to copyright law and other considerations like privacy and trade secrets. It provides examples of licensing options and policies at repositories. The goal of licensing is to avoid ambiguity and balance access with appropriate attribution and restrictions.
Digitalisierungsprojekte in Kulturerbeeinrichtungen & ihr rechtlicher Rahmen
Nach einer Einführung in das 1 x 1 des Urheberrechts werden die Aufgaben der Kultureinrichtungen im digitalen und vernetzten Zeitalter herausgearbeitet und sodann rechtlich untermauert. Dürfen Kultureinrichtungen ihre Schätze einfach digitalisieren, z.B. mittels digitaler Reproduktionsfotografie? Was, wenn hierbei wiederum Rechte entstehen? Welche sonstigen Rechte sind neben Urheberrechten zu beachten? Warum und wie frei lizenzieren?
Das Ziel ist es, die Mitarbeiter und Mitarbeiterinnen in den Kultureinrichtungen für rechtliche Fallstricke zu sensibilisieren und Ihnen mehr Sicherheit bei der Beantwortung rechtlicher Fragen im Zusammenhang mit Ihrem digitalen Tun zu geben.
Big Data Analytics with Hadoop
Hadoop, flexible and available architecture for large scale computation and data processing on a network of commodity hardware.
Viewers also liked (15)
Utility Protects Servers and Simpli es Compliance with Access Management
Utility Protects Servers and Simpli es Compliance with Access Management
Control graphics using nelson rules by luis daniel
Control graphics using nelson rules by luis daniel
Open data and reuse: Issues and challenges for cultural institutions
Open data and reuse: Issues and challenges for cultural institutions
Big data & analytics for banking new york lars hamberg
Big data & analytics for banking new york lars hamberg
Summary of Insights Learned from the Data Science Program Team Training
Summary of Insights Learned from the Data Science Program Team Training
12.15.16 Dissertations: Publishing & Copyright Workflow
12.15.16 Dissertations: Publishing & Copyright Workflow
Digitalisierungsprojekte in Kulturerbeeinrichtungen & ihr rechtlicher Rahmen
Digitalisierungsprojekte in Kulturerbeeinrichtungen & ihr rechtlicher Rahmen
More from Miguel Najera Martinez
Como programar en htmil 5
El documento explica cómo programar en HTML5 usando nuevas etiquetas como <video> y <audio> para identificar elementos multimedia. Describe cómo WebMatrix 2 ayuda a escribir código HTML5 proporcionando sugerencias de etiquetas y completado automático. Explica el uso de las etiquetas <header>, <nav>, <footer>, <section> y <article> para estructurar el contenido y aplicar estilos CSS como border-radius para redondear bordes.
Batos
The document appears to contain data from an experiment measuring temperature and absorption. There are 24 data points recorded with temperature, absorption, and X, Y, XY values. It also includes calculations for standard corrections, coefficients, and R-squared values from analyzing the data.
7 herramientas básicas de la calidad
El documento describe diferentes herramientas de análisis de calidad como el diagrama de Ishikawa, la hoja de verificación, el gráfico de control, el histograma, el diagrama de Pareto y el diagrama de dispersión. También describe el muestreo estratificado, que clasifica elementos de una población con afinidades para analizar causas comunes en su comportamiento.
Binomial y poinsson y exponencial
Este documento presenta nueve problemas estadísticos relacionados con vehículos. Los problemas incluyen contar el número de autos con placas nuevas en diferentes escenarios, calcular probabilidades asociadas con características de autos como placas o defectos, y calcular probabilidades relacionadas con distribuciones exponenciales que modelan kilometraje y consumo de agua antes de reparaciones o cambios.
Cuál es la función de la estadística en este ejercicio
La estadística es importante para determinar si una empresa puede cumplir con las especificaciones de producción solicitadas por un cliente, ya que permite calcular los márgenes de error de las máquinas y predecir si la producción se mantendrá dentro de esos límites. También es útil para resolver problemas relacionados con la toma de decisiones, como determinar si conviene comprar un nuevo producto. Además, la estadística se utiliza comúnmente en ingeniería para diagnosticar problemas en las empresas y evaluar el rendimiento de los empleados.
Cuál es la función de la estadística en este ejercicio
La estadística es importante para determinar si una empresa puede cumplir con las especificaciones de producción solicitadas por un cliente, ya que permite calcular los márgenes de error de las máquinas y predecir si la producción se mantendrá dentro de esos límites. También es útil para resolver problemas empresariales como determinar si conviene comprar un nuevo producto o diagnosticar áreas de mejora, así como evaluar el rendimiento de los empleados.
Cuál es la función de la estadística en este ejercicio
La estadística es importante para determinar si una empresa puede cumplir con las especificaciones de producción solicitadas por un cliente, ya que permite calcular los márgenes de error de las máquinas y predecir si la producción se mantendrá dentro de esos límites. También es útil para resolver problemas relacionados con la toma de decisiones, como determinar si conviene comprar un nuevo producto. Además, la estadística se utiliza comúnmente en ingeniería para diagnosticar problemas en las empresas y evaluar el rendimiento de los empleados.
tabla de frecuencias
The document contains a list of 300 numbers ranging from approximately 1,400 to 1,600. Charts are presented showing the absolute frequencies, accumulated frequencies, relative frequencies, and accumulated relative frequencies of the numbers.
Black veil brides
Black Veil Brides es una banda estadounidense de heavy metal formada en 2006 en Cincinnati, Ohio y actualmente compuesta por Andy Biersack, Jeremy «Jinxx» Ferguson, JakePitts, Christian Coma y Ashley Purdy. Desde sus comienzos, el estilo musical y la indumentaria de la banda han sido comparados con grupos como Scorpions, MötleyCrüe y principalmente KISS.
Crusigrama
El documento habla sobre los diferentes tipos de costos en la producción y operación de una empresa. Define los costos fijos como aquellos que permanecen constantes ante cambios en la actividad productiva, mientras que los costos variables fluctúan directamente con los niveles de producción. También describe los costos de mercadeo como gastos para llevar el producto al consumidor final, y los costos administrativos como erogaciones originadas en el área administrativa de la empresa.
El cáncer de piel vendría provocado por los rayos ultravioletas del sol entre...
El cáncer de piel vendría provocado por los rayos ultravioletas del sol entre...Miguel Najera Martinez
El documento enumera múltiples factores que pueden contribuir al desarrollo del cáncer, incluyendo la exposición a radiación ultravioleta, tabaco, virus, parásitos, productos químicos industriales, estrés, obesidad, dieta poco saludable y falta de ejercicio. Señala que no hay una única causa de cáncer, sino que generalmente es el resultado de la combinación de varios factores ambientales, genéticos y de estilo de vida.More from Miguel Najera Martinez (12)
Cuál es la función de la estadística en este ejercicio
Cuál es la función de la estadística en este ejercicio
Cuál es la función de la estadística en este ejercicio
Cuál es la función de la estadística en este ejercicio
Cuál es la función de la estadística en este ejercicio
Cuál es la función de la estadística en este ejercicio
El cáncer de piel vendría provocado por los rayos ultravioletas del sol entre...
El cáncer de piel vendría provocado por los rayos ultravioletas del sol entre...
Recently uploaded
Gabriel Whitley's Motion Summary Judgment
Here is Gabe Whitley's response to my defamation lawsuit for him calling me a rapist and perjurer in court documents.
You have to read it to believe it, but after you read it, you won't believe it. And I included eight examples of defamatory statements/
What Ukraine Has Lost During Russia’s Invasion
An astonishing, first-of-its-kind, report by the NYT assessing damage in Ukraine. Even if the war ends tomorrow, in many places there will be nothing to go back to.
EED - The Container Port PERFORMANCE INDEX 2023
El Puerto de Algeciras continúa un año más como el más eficiente del continente europeo y vuelve a situarse en el “top ten” mundial, según el informe The Container Port Performance Index 2023 (CPPI), elaborado por el Banco Mundial y la consultora S&P Global.
El informe CPPI utiliza dos enfoques metodológicos diferentes para calcular la clasificación del índice: uno administrativo o técnico y otro estadístico, basado en análisis factorial (FA). Según los autores, esta dualidad pretende asegurar una clasificación que refleje con precisión el rendimiento real del puerto, a la vez que sea estadísticamente sólida. En esta edición del informe CPPI 2023, se han empleado los mismos enfoques metodológicos y se ha aplicado un método de agregación de clasificaciones para combinar los resultados de ambos enfoques y obtener una clasificación agregada.
Essential Tools for Modern PR Business .pptx
Discover the essential tools and strategies for modern PR business success. Learn how to craft compelling news releases, leverage press release sites and news wires, stay updated with PR news, and integrate effective PR practices to enhance your brand's visibility and credibility. Elevate your PR efforts with our comprehensive guide.
Acolyte Episodes review (TV series)..pdf
Acolyte Episodes review (TV series) The Acolyte. Learn about the influence of the program on the Star Wars world, as well as new characters and story twists.
Letter-from-ECI-to-MeiTY-21st-march-2024.pdf
भारत सरकार द्वारा बड़े पैमाने पर व्हाट्सएप अभियान चलाए जाने से डेटा गोपनीयता, नैतिकता और चुनावों की निष्पक्षता पर सवाल उठते हैं।
Recently uploaded (9)
Nelson rules
- 1. Nelson rules
- 2. Rule Description Chart Example Problem Indicated Rule 1 One point is more than 3 standard deviations from the mean. One sample (two shown in this case) is grossly out of control.
- 3. Rule 2 Nine (or more) points in a row are on the same side of the mean. Some prolonged bias exists.
- 4. Rule 3 Six (or more) points in a row are continually increasing (or decreasing). A trend exists.
- 5. Rule 4 Fourteen (or more) points in a row alternate in direction, increasing then decreasing. This much oscillation is beyond noise. This is directional and the position of the mean and size of the standard deviation do not affect this rule.
- 6. Rule 5 Two (or three) out of three points in a row are more than 2 standard deviations from the mean in the same direction. There is a medium tendency for samples to be mediumly out of control. The side of the mean for the third point is unspecified.
- 7. Rule 6 Four (or five) out of five points in a row are more than 1 standard deviation from the mean in the same direction. There is a strong tendency for samples to be slightly out of control. The side of the mean for the fifth point is unspecified.
- 8. Rule 7 Fifteen points in a row are all within 1 standard deviation of the mean on either side of the mean. With 1 standard deviation, greater variation would be expected.
- 9. Rule 8 Eight points in a row exist with none within 1 standard deviation of the mean and the points are in both directions from the mean. Jumping from above to below whilst missing the first standard deviation band is rarely random.