Agile Analysis 101: Agile Stats v Command & Control MathsAxelisys Limited
Introducing Agile teams to Statistical Analysis. It's the tool that will help them self-manage and I introduce simple methods to measure efficacy. We also compare and contrast the traditional use of mathematics for command and control versus statistics and learning for contemporary agile development and EA.
The talk and bonus material slides from Ethar Alali's Agile Yorkshire talk in September 2015. Covering Business Agility and Lean thinking and why talking about [no]estimates is the wrong question.
The document discusses challenges that startups and enterprises face in changing and adapting quickly. It notes that startups can change their experiment rate and frequency up to every 3 months, while large enterprises typically change every 11-15 seconds. The moral is that startups can change fast but enterprises need to focus on becoming more lean and agile. Two key factors for enterprise success are doing the work and learning to adapt to their environment. The document also discusses an example from 1999 of a company that offered to build websites for small businesses but found that at the time, small businesses did not want websites.
It used to be that 90% of new businesses fail in their first 2 years. Lean Startup’s explosion on to the scene provide a step-change in mainstream entrepreneurship. However, for modern startups to avoid the same fate, A/B-tests need to yield credible results, especially in more uncertain environments.
How do you repeatedly design good, credible experiments to tame the unpredictable beast? This deck bridges theory and practise to provide useful tips, tools and techniques to apply to business, social media profiles or anything else you dare!
Agile Analysis 101: Agile Stats v Command & Control MathsAxelisys Limited
Introducing Agile teams to Statistical Analysis. It's the tool that will help them self-manage and I introduce simple methods to measure efficacy. We also compare and contrast the traditional use of mathematics for command and control versus statistics and learning for contemporary agile development and EA.
The talk and bonus material slides from Ethar Alali's Agile Yorkshire talk in September 2015. Covering Business Agility and Lean thinking and why talking about [no]estimates is the wrong question.
The document discusses challenges that startups and enterprises face in changing and adapting quickly. It notes that startups can change their experiment rate and frequency up to every 3 months, while large enterprises typically change every 11-15 seconds. The moral is that startups can change fast but enterprises need to focus on becoming more lean and agile. Two key factors for enterprise success are doing the work and learning to adapt to their environment. The document also discusses an example from 1999 of a company that offered to build websites for small businesses but found that at the time, small businesses did not want websites.
It used to be that 90% of new businesses fail in their first 2 years. Lean Startup’s explosion on to the scene provide a step-change in mainstream entrepreneurship. However, for modern startups to avoid the same fate, A/B-tests need to yield credible results, especially in more uncertain environments.
How do you repeatedly design good, credible experiments to tame the unpredictable beast? This deck bridges theory and practise to provide useful tips, tools and techniques to apply to business, social media profiles or anything else you dare!
This document defines cloud computing as using remote servers on the Internet rather than local servers. It discusses how cloud computing is hosted in large data centers by major providers and offers savings over maintaining one's own servers by paying only for utilized resources. The document outlines the three main forms of cloud platforms - SaaS, PaaS, and IaaS - and compares cloud to locally hosted servers, noting the cost savings and reduced management needs of cloud. It provides three tips for using cloud, including understanding its benefits, architecting for cloud, and taking advantage of free trial offerings.
IT's A/B-testing and lean-startup techniques can learn a lot from experimental design and statistics. For those of you not that confident or familiar with such techniques, here is a little intro to help you on your way :)
Do we in IT really know what a system is? If we answer with Servers, Applications, Hardware, we need to review our understanding, since this is far from the reality.
Agile Estimation @ Lean Agile Manchester: Make Estimates Small!Axelisys Limited
The document discusses estimates and managing uncertainty in projects. It argues that estimates are often blamed for project failure, but the real issue is variance between estimates and actual outcomes. The document advocates for keeping work items small to reduce uncertainty and variability. It suggests splitting work into predictable chunks and using frequent learning from small changes to continually improve estimates. An activity demonstrates that humans can more accurately estimate small numbers of items. The key takeaway is to keep tasks, batches, cycles, timescales, changes, and planning small to reduce context switching costs and improve predictability.
This document discusses the complex relationship between mental illness and crime. While there is a clear connection between mental illness and incarceration, the link between mental illness and actual criminal behavior is more nuanced. Several studies mentioned found moderate connections between some mental illnesses like schizophrenia and crime, especially when combined with substance abuse, but many mentally ill individuals are non-violent. The document examines how factors like deinstitutionalization, homelessness, poverty, and drug use associated with mental illness can influence criminality as well.
This document defines cloud computing as using remote servers on the Internet rather than local servers. It discusses how cloud computing is hosted in large data centers by major providers and offers savings over maintaining one's own servers by paying only for utilized resources. The document outlines the three main forms of cloud platforms - SaaS, PaaS, and IaaS - and compares cloud to locally hosted servers, noting the cost savings and reduced management needs of cloud. It provides three tips for using cloud, including understanding its benefits, architecting for cloud, and taking advantage of free trial offerings.
IT's A/B-testing and lean-startup techniques can learn a lot from experimental design and statistics. For those of you not that confident or familiar with such techniques, here is a little intro to help you on your way :)
Do we in IT really know what a system is? If we answer with Servers, Applications, Hardware, we need to review our understanding, since this is far from the reality.
Agile Estimation @ Lean Agile Manchester: Make Estimates Small!Axelisys Limited
The document discusses estimates and managing uncertainty in projects. It argues that estimates are often blamed for project failure, but the real issue is variance between estimates and actual outcomes. The document advocates for keeping work items small to reduce uncertainty and variability. It suggests splitting work into predictable chunks and using frequent learning from small changes to continually improve estimates. An activity demonstrates that humans can more accurately estimate small numbers of items. The key takeaway is to keep tasks, batches, cycles, timescales, changes, and planning small to reduce context switching costs and improve predictability.
This document discusses the complex relationship between mental illness and crime. While there is a clear connection between mental illness and incarceration, the link between mental illness and actual criminal behavior is more nuanced. Several studies mentioned found moderate connections between some mental illnesses like schizophrenia and crime, especially when combined with substance abuse, but many mentally ill individuals are non-violent. The document examines how factors like deinstitutionalization, homelessness, poverty, and drug use associated with mental illness can influence criminality as well.