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Data Science projects aren’t a nice clean cycle of well defined stages. More often, they are a slog towards delivery with repeated setbacks. Most steps are highly iterative between your Data Science team and IT or your Data Science team and the business. These setbacks are due to disruptions. Recognising this and identifying the cause of these disruptions is the first step in mitigating their impact on your delivery with Guerrilla Analytics.
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I designed the principles to help avoid the chaos introduced by the dynamics, complexity and constraints of data projects. You will find the principles helpful if you work in Data Science, Data Mining, Statistical Analysis, Machine Learning or any field that uses these techniques. The Guerrilla Analytics Principles have been applied successfully to many high profile and high pressure projects in domains including Financial Services, Identity and Access Management, Audit, Fraud, Customer Analytics and Forensics.