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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Kogentix Inc.

Kogentix is an artificial intelligence and big data software and services firm based outside of Chicago, with offices in Hyderabad, India; Silicon Valley; Singapore; Jakarta, Indonesia; and locations across the U.S. Kogentix delivers practical AI fueled by big data. Our flagship product, the Kogentix Automated Machine Learning Platform, or AMP, enables organizations to rapidly innovate machine learning applications. Kogentix software and services are used by leaders in a range of vertical markets, including financial services, consumer goods, healthcare, telecommunications, and industrial equipment.

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