Thinknow Synthetic:Advanced Synthetic Data Solutions

an innovative, machine learning-based approach to create synthetic data that mirrors real-world patterns while preserving the cultural and demographic diversity essential to our clients' insights.

Key Features

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Multi-origin Data Collection

Panel Data: Access our extensive, culturally rich panel database from DigaYGane.com, featuring millions of data points collected over a decade from Hispanic, Black, AANHPI, and LGBTQIA+ communities.
Synthetic Data: Generate synthetic responses using machine learning models trained on authentic multicultural datasets, ensuring culturally relevant and unbiased insights.

Enhanced Accuracy and Realism

Flexible Model Selection: Our approach applies a range of models, from statistical techniques to advanced machine learning methods, to create synthetic data that accurately reflects both single tables and complex, interconnected tables.
Comprehensive Quality Measures: Synthetic data is evaluated against real data across multiple dimensions, ensuring it upholds cultural diversity and accurately represents the target demographic groups.
Real-Time Generation: This methodology enables fast, on-demand data creation, allowing clients to access data whenever needed, even for highly specific or new questions.

Bias Mitigation

ThinkNow Synthetic is trained on multicultural data, prioritizing inclusivity, and minimizing biases. By incorporating a variety of communities and adjusting models accordingly, we ensure that generated data authentically reflects diverse populations.

Benefits:

  • Cost-Effectiveness: Reduce the expenses associated with large-scale surveys by supplementing panel data with synthetic data.
  • Data Completeness: Fill in missing responses and expand the diversity and volume of data for holistic analysis.
  • Cultural Relevance: Benefit from synthetic data specifically tuned to multicultural audiences, enhancing cultural insights.
  • Speed: Generate synthetic responses quickly and accurately, as opposed to waiting on traditional data collection.

Technical Overview:

AI-Augmented Data Simulation:

  • Augmented Surveys: Our machine learning-based methodology enhances data collection by predicting opinions, filling in data gaps, and simulating real-world cultural patterns.
  • Realistic Data Emulation: Mimics real-world distributions while protecting privacy, providing a robust foundation for diverse audience research.

Customizable Models:

ThinkNow Synthetic enables tailored solutions, allowing clients to submit past survey data to further customize synthetic generation for unique cultural insights.

Applications:

  • Market Research: Gain a deep understanding of market trends with accurate, diverse consumer data.
  • Social Science Research: Study behaviors and societal trends across culturally varied groups with comprehensive, accurate data.
  • Policy Making: Access public opinion data that accurately represents diverse communities, supporting inclusive policy decisions.

How it Works

Client Engagement

We work with clients to understand their unique needs for accurate, culturally inclusive data.

Data Integration

ThinkNow Synthetic combines proprietary panel data with ai-generated synthetic data.

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Delivery

Our solution provides faster, accurate, and cost-effective insights, ensuring data reliability and relevance.

Synthetic Data Generation

Our models create data that recognizes real-world patterns, reflecting cultural diversity.

FAQs

Our models are trained on culturally diverse datasets, allowing us to generate data that mirrors the unique demographics of each community. This approach helps maintain authenticity and ensures representation.

Yes. Our solution supports multiple connected tables, allowing us to create synthetic data that maintains relationships between datasets, ideal for complex studies with codependent variables.

With our rapid data generation capabilities, most datasets can be generated and delivered within days, depending on the complexity of the data and the scope of the project.

ThinkNow Synthetic supplements real panel data with machine-generated synthetic data, offering fast, culturally representative insights without the cost or time associated with traditional survey fielding.

Absolutely. Clients can submit previous survey data to customize our models for specific demographics or topics, ensuring that the generated data aligns with their research needs.