Offline Data Collection
We partner with organizations across multiple verticals to resolve their data processing complexities, ensuring the data is meticulously validated and strategically optimized to meet defined research objectives.
In Data Tabulation
- Cross-Tabulations
- Summary Tables
- Funnel Tables
- Loyalty Scores
- Market Share / Brand Share / Category Share Tables
- Consumer Price Indexing (CPI)
- Cumulative Distribution Function (CDF)
- Data Weights
- Grand Mean Scores (Mean-of-Mean)
- Brand Health Tracker (BHT)
- Awareness & Usage Trackers (U & A)
In Analytics / Statistical Analysis
- Segmentation
- Max-Diff Scaling
- CHAID
- Perceptual Mapping
- Factor Analysis
- Correlation
- By Direction: Positive, Negative or Zero
- By Linearity: Linear & Non-Linear
- By Number of Variables: Simple, Partial or Multiple
- Clustering
- Centroid-based (Partitioning): K-Mean
- Hierarchical (Connectivity-Based): Agglomerative or Divisive
- Density Based: DBSCAN
- Distribution-Based: Gaussian Mixture Models
- Fuzzy Clustering: Fuzzy C-Mean
- Conjoint-Base Clustering (CBC)
- Latent Class Analysis (LPA)
- Hierarchical Clustering
- Non-Hierarchical Clustering
- Segment-Level Conjoint Analysis
- Regression Analysis
- Fundamental Regression: Simple Linear, Multiple Linear or Polynomial
- Classification & Categorical Regression: Logistics or Poisson
- Regularization Techniques (For Complexity/Over fitting): Ridge (L2), Lasso (L1) or ElasticNet (both L1 and L2)
- Advanced / Specialized Regression: Bayesian Linear, Quantile, Support Vector or Decision Tree/Random Forest
