Posts tagged analytics
The Questionable Analytics of Censorship

Historically, concerns about over-zealous censorship have focused on repressive governments. In the United States, free speech has been a pillar of our society since its founding. For the most part, government attempts at censorship or speech restrictions receive swift and successful push back. In recent times, however, a new path to censorship has arisen in the form of search engine and social media companies that are building analytically-based censorship algorithms.

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The All-Inclusive Analytics Organization

Whatever your favorite taxonomy or category of analytics, I’m here to argue that it doesn’t matter from an organizational standpoint. That is, I think all the categories should be supported by one organization. I’ll spend the rest of this post arguing why an inclusive approach is more effective.

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Human or Machine? Two Paths for Deploying Analytics

As data science and analytics teams continue to feel pressure to deliver more value from analytics, many organizations still struggle with the processes and technology required to deploy models into production and more rapidly make data-driven decisions. When evaluating how to best undertake these activities, organizations should consider an important distinction to determine the best path forward.

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A Common Trap That Undermines Analytics Credibility

Over the years, I’ve seen analytics professionals of all stripes blow their credibility and lessen their impact by falling into a common trap. I have to admit that I fell victim to the same trap early in my career. While our intentions are pure, our analytical minds and approaches can get the best of us and we explain too much. We’ll be better off if we learn to provide less detail and stop talking sooner than we are naturally inclined to.

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Analytics Predictions and Priorities for 2019

IIA leaders Bill Franks, Tom Davenport and Bob Morison revealed their list of 2019 analytics predictions and priorities for data-driven enterprises. Pressing topics include ethics, unique data, artificial intelligence, security, model deployment, and organizing talent.

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The State of Analytics Degrees in Universities

If you want to hire students from universities with strong analytical skills, you need to know the landscape of available programs and skills. For companies hiring graduates of analytics master’s degrees in business schools, it’s important to be aware of the differences among programs. This blog discusses the skills you should consider when hiring analytics graduates.

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The Achilles Heel of Artificial Intelligence

An AI process can appear quite intelligent within very specific bounds yet fall apart if the context in which the process was built is changed. In this blog I will discuss why adding an awareness of context into an AI process – and dealing with that context – may prove to be the hardest part of succeeding with AI. In fact, handling context may be the Achille’s heel of AI!

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Inconsistent Definitions Wreak Havoc on Analytics

Everyone who has lived within the world of analytics has seen cases where different parts of a business have made use of slightly differing definitions of core business metrics. Sometimes these differences lead to only minor and non-material disagreement. At other times, the differences in definition can cause massive divergence of reported results and related actions taken. When is the last time your organization took the time to really examine the strengths and weaknesses of the metric definitions being used on a daily basis?

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Why Analytics of Things Standards are Needed

As the Internet of Things (IoT) continues to explode, so does the need for the analysis of IoT data. At IIA, we call the analysis of IoT data the Analytics of Things (AoT). However, without some attention to standards of both IoT data itself and the analysis of it, organizations will struggle to achieve AoT’s potential. In this post, we’ll dig into several different areas where standardization must be pursued.

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