diDNA | Solutions
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Solutions

THE INTELLIGENCE PLATFORM TO INCREASE REVENUE

PROPRIETARY MACHINE LEARNING ALGORITHMS

We feed our system insane amounts of data and write rules that allows trends and behavioral patterns to be learned in real-time to then make effective commands to whichever operating system being applied.

BIG DATA PROCESSING

Vast amounts of data points are analyzed and score values are adjusted constantly. Data from visitor’s browser, ISP, weather, census data, realestate, crime, regional product prices/sales, browsing trends, interactions and a many others build the diDNA score for each user. The diDNA score utilizes a method of unique user tracking that goes far beyond cookies and provides a safety net against unrecognized users. Blockchain, consistent hash and a number of compression techniques combined yields a massive amount of data to be carried in a very small identifier very similar to how blood carries all the DNA data.

PREDICTIVE MODELING

Analyzing large data sets to make inferences or identify meaningful relationships, and the use of these relationships to better predict future events. The diDNA technology stack uses statistical tools to separate systematic patterns from random noise, and turns this information into business rules, which should lead to better decision making — a discipline that actuaries have practiced for quite a long time. This is likened to “credit-scoring” in the modern sense of “business analytics.” Credit scores were initially developed to more accurately and economically underwrite and determine interest rates for home loans.

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