Predictive Analytic Services
As companies build new data platforms that contain a wealth of data, and as they work at tying that data platform into others, the question arises, “How can I best tap the value of my investment in data?”We believe that predictive modeling is crucial in answering that question. That is why we have worked hard at offering industry-critical predictive modeling for our clients.
We listened to our past clients’ needs when developing our offering. We now include a service that listens to your needs and draws from our deep and broad experience with data sciences to help you integrate data your CRM, web data collected via fixed and mobile devices, social media and unstructured data, and geodemographic, economic, and survey data derived from either government/public or custom surveys. Then we build predictive models that help you achieve your research and strategic goals.
Our predictive models use variable selection algorithms and best-practice, cross-validation methods to break through the noise in big data, pinpoint important variables, and deliver accurate predictions of market outcomes based on validation data. For those of you not steeped in the use of cross-validation, it is a large step forward in developing trustworthy and usable forecasts and projections.
When preferences for new products and services (or hidden preferences) are not easily measured, we integrate customer choice models, based on experimentally designed survey experiments, integrating those absent or hidden preferences with structured and unstructured behavioral and market data. Using customer choice modeling and ChoiceModelR (an R language software package developed by Decision Analyst programmers), we can assist you with combining choice modeling and predictive analytics.
The combination of survey-based customer choice data with predictive modeling of marketplace and online behaviors allows new positioning and new messaging to be developed, new targeting to be identified, and segmentation attributes to be extracted (from big and noisy databases), in order to improve response rates, heighten customer loyalty, and enhance revenue and profits.
Drawing upon Decision Analyst’s Advanced Analytic professionals’ deep experience with many kinds of predictive models, we help you use Predictive Analytics to improve your company’s ROI from the cache of big-data platforms that you have built and heavily invested in.
For more than a decade now, analytics and statistical modeling have been at the heart of targeted database marketing, and dozens of modeling methods have been developed. Consider contacting the Predictive Analytics Team at Decision Analyst to compare our services to those you are already employing. We have an arsenal of techniques that extend far beyond the typical linear or logistic regression models:
- Logistic Regression
- Hierarchical Bayes Models
- Machine Learning
- Big Data Analytics
- Random Forest
- Classification and Regression Trees (CART)
- Support Vector Machine
- Factor Analysis
- Latent Class Cluster Analysis
- Supervised Principal Components
- Net Lift Modeling
- Marketing Mix Models
- Time-Series, Cross-Sectional Models
- Data Visualization Methods
- Social Networking Models
- R-Language Modeling Techniques
Why Decision Analyst?
We are a global marketing research and analytical consulting firm. Our charge, our commitment, is helping our clients achieve continuous competitive advantage through advanced research analytics and modeling technologies.
Our research, predictive analytics, and consulting services have for more than a third of a century helped our clients develop winning marketing strategies, build stronger brands, enhance customer loyalty, upgrade advertising, and accelerate new product development. Decision Analyst serves the direct marketing, CRM, and database marketing industries with a full complement of services.
Predictive Analytic Services
For more information on Predictive Analytic Services, please contact Elizabeth Horn, Ph.D., Senior Vice President of Advanced Analytics (firstname.lastname@example.org), or call 1-800-ANALYSIS (262-5974) or 1-817-640-6166.