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Understanding the Different Types of Online Data for Your Data Strategy

Smart Data Collective

With online data acquisition on the rise, we are treading into mostly uncharted waters. Industry-wide regulations in web scraping and other forms of automated data collection are practically non-existent and we probably shouldn’t expect any in the near future. Therefore, everyone might as well follow GDPR regulations.

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Analytics Insights and Careers at the Speed of Data

Rocket-Powered Data Science

This article quotes an older market projection (from 2019) , which estimated “the global industrial IoT market could reach $14.2 Focus on specific data types: e.g., time series, video, audio, images, streaming text (such as social media or online chat channels), network logs, supply chain tracking (e.g., trillion by 2030.”.

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EU Cookie / Privacy Laws: Implications On Data Collection And Analysis

Occam's Razor

The way data is collected online and what happens to it is a much-scrutinized issue (and rightly so). Digital data collection is also exceedingly complex, perhaps a reflection of the organic nature, and subsequent explosion, of the internet. Web Data Collection Context: Cookies and Tools.

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How CIOs Can Transform Data From a Cost to an Advantage

CIO Business Intelligence

For the CIO to be successful with this, there needs to be a comprehensive strategy that extends far beyond simply deploying new technologies. Many CIOs are now working with an IT environment that can deliver a modern data strategy but are struggling to unlock the full potential. The four steps to data advantage.

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The Foundations of a Modern Data-Driven Organisation: Gaining a Clear View of the Customer

Cloudera

This data needs to be harmonized in a way that presents a unified view of the customer journey and ideally a real-time view of their propensity to perform certain actions, with suggested options to increase or decrease that propensity. Strategy and culture are core components of a data driven organization . Data Strategy.

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Practical Skills for The AI Product Manager

O'Reilly on Data

In our previous article, What You Need to Know About Product Management for AI , we discussed the need for an AI Product Manager. In this article, we shift our focus to the AI Product Manager’s skill set, as it is applied to day to day work in the design, development, and maintenance of AI products.

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Is It Time to Jump-Start Your Data Offense?

Juice Analytics

Legendary analytics guru Thomas Davenport takes a more neutral stance in his Harvard Business Review article What’s your Data Strategy? But at Juice, we’re all about building data products. That’s an offensive data strategy (we’re with you Jack Dempsey, June Jones, Mike Leach, and Mike D’Antoni).

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