Advancing Your Business Forward
Data science and advanced analytics elevate market research beyond simply reporting what happened—revealing why it happened and what’s likely to come next. By transforming complex data into clear, actionable insights, we help organizations make smarter strategic choices and navigate uncertainty with confidence. The result is faster decision-making and a meaningful competitive advantage in the marketplace.
Smarter Insights to Power Confident Decisions
Transform your data into actionable intelligence and move beyond what happened — toward what matters.
Traditional Analytics

Data Science & Advanced Analytics

Descriptive

What happened?
Dependencies Analysis
- Behavioral Profiling
- Factor Analysis Profiling
- Correspondence Analysis
- Network Relationship Graphs
- Custom Dashboarding
Diagnostic

Why did it happen?
Root Cause Analysis
- Key Drivers Analysis
- Market Basket Analysis
- Path Analysis / (SEM)
- Sentiment Analysis Modeling
- CHAID / CART Decision Trees
Predictive

What might happen?
Forecast Future Outcomes
- Forecasting (Linear & ML)
- MaxDiff (Anchored, OTF)
- Conjoint (CBC, ACBC)
- Churn Modelling
- Purchase Intent Modeling
- Propensity modelling on current & future intent
Prescriptive

What should we do about it?
Recommend Best Actions
- Attitudinal Segmentation
- Conjoint Market Simulator
- Price Sensitivity Analysis
- Path to Purchase
- Pain & Bliss points
- Optimization via TURF Analysis
Answering Key Questions Along the Customer Journey

Inform Strategy

Pre-Test Go-To-Market Initiatives

Gather Feedback

Custom Solutions, Tailored to Your Business
As markets change, generic analysis falls short. We combine custom research with applied data science to uncover deeper insights, anticipate what’s next, and deliver clear, actionable recommendations aligned with your goals.

Contact our Data Science & Advanced Analytics Practice Leader to learn more:
Ash Attarian
Senior Manager of Data Science & Advanced Analytics
aattarian@schmidtmr.com
- Client and agency-side market research experience
- Experienced in custom research analytics with a focus on advanced analytics, automation, and machine learning
- Experienced in app development (RShiny), forecasting, and database management (SQL, Tableau, etc.)
Or submit a request for more information.