A web analytics implementation project often starts with quite a lot of fanfare and resources. There will usually be an audit and needs assessment process to determine what tracking needs
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Agile software engineering practices have become the standard work management tool for modern software development teams. Are these techniques applicable to analytics, or is the nature of research prohibitively distinct
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This is part 2 of my 3 part exploration of the following question: are Agile engineering practices applicable to analytics, or is the nature of research prohibitively distinct from the
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The tools and techniques of data science and advanced analytics can be used to solve many problems. In some cases – self-driving cars, face recognition, machine translation – those technologies
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A lot of Data Science literature focuses on the mathematical and algorithmic aspects of model building. This is after all what much of academia spends time grappling with. However the
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Yes, if you want to build a truly data-driven organization your data warehouse needs a Service Level Agreement (SLA). At the core of any data driven organization is trust –
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Agile software engineering practices have become the standard work management tool for modern software development teams. Are these techniques applicable to analytics, or is the nature of research prohibitively distinct
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Many Data Scientists come from a hard science background – statistics, math, physics. Hard sciences have a bias towards empirical and objective truths: a correct answer exists and we can
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