Enhancing Customer Data Privacy in the Automotive Industry with InterraIT's CDP Solution
Interra Information Technologies (InterraIT)
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In the current world, which is data-driven, customer data privacy will always be at the top of every list. The automotive industry happens to be one of those sectors involved in processing extensive amounts of sensitive information on customers; hence, the need for robust data privacy solutions cannot be overemphasized. InterraIT's Customer Data Privacy solution caters to this by providing an all-rounded approach to the identification, analysis, and implementation of data privacy measures. This paper explores the CDP solution in general, its features, tools, technology used, its importance, and its implementation within the Automotive sector.
IDENTIFICATION PHASE
-> Discovering data models
Knowing where customer data resides is the first step toward its protection. Full discovery of data models across various databases is where our CDP solution initiates. Most of the time, it means connecting to different databases and drawing structures into a central repository. Mapping out a clear data landscape will establish where customer data resides for a business and enable better protection measures.
-> Identification of consumer data
At this level, we search for any potential consumer data in these databases using an NLP- and AI-ML-driven crawler. This advanced technology will make sure to fingerprint all the elements of consumer data uniquely and accurately. The crawler goes through entries, recognizing patterns and markers that signify personal information, thereby allowing precise identification without manual intervention.
-> Validating consumer data elements
These data elements, once identified, are validated to confirm their relevance and accuracy. The step ensures that only relevant information regarding the consumer gets through to the data privacy measures. Validation is done by cross-referencing data points in their database against known patterns of consumer information, ensuring very high accuracy and reducing false positives.
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ANALYSIS PHASE
-> Assessing Business Impact
In business operations, it is essential to comprehend the effect of ...
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