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Predictive Analytics Consultancy & Data Modeling
Predictive modeling involves building algorithms which has the capabilities to predict a metric based on given independent values. For example predictiing user behavior on the site, Predicting revenue figures based on product/services changes made by the company. Predicting & Preventing fraud due to Credit Card. This method may involve Regression analysis, Decision Trees, Artificial Neural Networks. We provide these services to Insurance, Banking, Telecom, Dotcom, Retailers for making their business more profitable.
- Business Consultantion for Market Planning
- Customer Profiling and Life time Value Modeling.
- Click, User data on Paid search campaigns, keywords from Adwords, PPC campaigns to retrieve more details of quality of Paid search campaigns. Lead/Conversion Prediction Analytics is used for measuring the quality of leads received online
- Clustering Analysis on Customer Segmentation based on Geolocation, Demographic characteristics, Psychographic characteristics.
- Using Associations in Online Click behaviour and User actions on product purchases
- Using Linear Regression, Logistic Regressions for predicting the dependent metrics based on customer attributes.
- Predicting Future Probabilities such as Predicting future Insurance Claims before issuing policy both Vehicle as well as Life.
Analysis of data on visitors such as User Database for offline/Online customers and Click Stream data, We provide details analysis after studying the type of visitors, clicks they made on site, tie they spent online etc.
For Consultancy, please contact: hari@analyticseye.com
We have serviced more than 35 clients in United Kingdom, United States, Europe, Australia and Rest of the World.
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