Why Ironwood? Ironwood’s forward-thinking designs and leading-edge analytical frameworks are designed to answer client business questions. We believe in predictive analytics that incorporate a range of analytical and statistical techniques aimed at developing business models that help forecast future outcomes or explain why something happened.
Data Processing Services
Our sophisticated software and systems can aggregate and tabulate data to facilitate any type of analysis.
- Cross-tabs & Data Files: Mentor, WinCross, SPSS, Excel, CSV
- Ratings & rankings
- Descriptive Statistics: mean, median, mode, standard error, standard deviation
- Univariate Statistical Testing: T-tests, Z-tests, Chi-square, ANOVA/MANOVA
- Data Weighting
Advanced Analysis
A full complement of analytics tools and know-how allows us to design and apply advanced analyses that best address your business issue.
- Driver Analyses: Multiple Regression, Logit, Attributable Effects, Bayesian Networks/Graphical Modeling
- Choice-Based Techniques, i.e.: Conjoint, Discrete Choice, Max-Diff
- Pricing & Volumetric Models: Van Westendorp Analysis, Monadic, Gabor-Granger
- Segmentation: Factor/Cluster Segmentation, K-means, Latent Class
- Positioning: Perceptual Mapping, Bi-Plots
- Ensemble Models
- Tree analysis
Text Analytics
Proprietary platform customized for individual client needs.
- Data can be pulled from any source, i.e.: website reviews, social media, business intelligence, survey open ends, qualitative transcriptions.
Our tool helps clients analyze large amounts of text data, i.e.:
- Sentiment Analysis: determine emotional tones
- Text Summarization: condense large amounts of text while retaining meaning
- Topic Modeling: identify, extract themes or topics
- Text Clustering: group similar documents together based on their content to discover patterns or relationships
Custom Dashboards
With scalable, tailored packages, our custom data visualization dashboards are the perfect compliment to our text analytics offering.
Our data visualization dashboards are designed to help clients integrate multiple sources to display, analyze and monitor:
- Customer data/customer satisfaction KPI’s
- Social media
- Business performance/marketing KPI’s
- Company Financial Performance