Proof of Usefulness Report

Big Data Science Research

Analysis completed on 3/21/2026

+79.01

Proof of Usefulness Score

You're In Business

Big Data Science Research claims to offer B2B data science products (AI LogMiner, AutoML) with notable enterprise customers like NTT Data and VMWare. Despite the credible underlying problem space and mention of an open innovation award, the submission is critically undermined by wildly exaggerated and unverifiable claims ('everyone' as target audience, 'most people have used my product' for traction, and 'marketcap: 50000' for monthly revenue). Because of these unsupported claims and poor response quality, quality multipliers were heavily penalized, resulting in a score reflective of minimal verifiable traction.

Ready to Compete for $150k+ in Prizes?

Move this data into a HackerNoon blog draft to become eligible for your share of $150k+ in cash and software prizes

View All Reports

Score Breakdown

Real World Utility+37.5

Audience Reach Impact+1.0

Technical Innovation+15.0

Evidence Of Traction+1.25

Market Timing Relevance+20.0

Functional Completeness+0.5

Subtotal+75.25

Usefulness Multiplierx1.05

Final Score+79

Project Details

Project URL

bigdatascienceresearch.com

Description

Our company vision is to develop innovative data science products that provide deep insights to many large scale and complex business problems. We use advanced mathematical modelling approaches and technologies to rapidly develop solutions. Our company is a Bengaluru finalist in NTT Data Open Innovation Context in 2020. Our product portfolio includes: 1) AI LogMiner to derive patterns from billions of Application logs and help in identify root causes in real time to evolving technical support issues. 2) AutoML – an engine that uses AI to derive good machine learning workflows. We developed AI solutions to our following esteemed customers. 1. NTT Data 2. VMWare 3. Degiverifier.com

Algorithm Insights

Market Position

Growing utility with room for optimization

User Engagement

Documented reach suggests active user community

Technical Stack

Modern tech stack aligned with sponsor technologies

Recommendations to Increase Usefulness Score

Document User Growth

Provide specific metrics on user acquisition and retention rates

Showcase Revenue Model

Detail sustainable monetization strategy and current revenue streams

Expand Evidence Base

Include testimonials, case studies, and third-party validation

Technical Roadmap

Share development milestones and feature completion timeline