Data Analytics Integrity Challenges to Implementation of the Automated Data Collection Processes

March 12, 2020

In recent months, my company (Baron Consulting) has been proactively involved in setting up Data Collection Systems for a range of Private and Public Organisations we are servicing. Some of the data collection challenges have already been discussed in our recent Raw Data Collection 2020: Principles and Challenges White Paper. While the RDC (Raw Data Collection) paper analysed the current state of the everchanging Data Collection requirements, it did not have the scope to address technicalities of the RDC processes along with the specific Data Collection tools and methods. The purpose of this paper is to fill the void by looking into implementation of the automated data collection processes.

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Data Aurora

Data Aurora is a Data Science innovation services firm that uses data-driven sensemaking to design better human experiences from anthropological patterns. Based on our practice of sensemaking, we help customers through Dataphenomenology™. Humans decide how moments should be remembered and they want to navigate the world better without friction. Our role is to reduce complexity and design experience that they can feel, remember, and relate to. Dataphenomenology™ is meant by using data science to earn empathy that transforms pico-moments into better human experiences towards your products. Predictive Analytics can tell a Gelato shop, for example, how many Gelatos its customers will eat in a day; Data Aurora can reveal how those customers perceive the Gelato experience.

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Amazon's trademarks and trade dress may not be used in connection with any product or service that is not Amazon's, in any manner that is likely to cause confusion among customers, or in any manner that disparages or discredits Amazon. All other trademarks not owned by Amazon are the property of their respective owners, who may or may not be affiliated with, connected to, or sponsored by Amazon.

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White Paper on Privacy and Data Protection

whitePaper | March 30, 2022

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Spotlight

Data Aurora

Data Aurora is a Data Science innovation services firm that uses data-driven sensemaking to design better human experiences from anthropological patterns. Based on our practice of sensemaking, we help customers through Dataphenomenology™. Humans decide how moments should be remembered and they want to navigate the world better without friction. Our role is to reduce complexity and design experience that they can feel, remember, and relate to. Dataphenomenology™ is meant by using data science to earn empathy that transforms pico-moments into better human experiences towards your products. Predictive Analytics can tell a Gelato shop, for example, how many Gelatos its customers will eat in a day; Data Aurora can reveal how those customers perceive the Gelato experience.

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