Predictive Analytics Services

Predictive analytics is the branch of the advanced analytics which is used to make predictions about unknown future events. Predictive analytics uses many techniques from data mining, statistics, modeling, machine learning, and artificial intelligence to analyze current data to make predictions about future.It uses a number of data mining, and analytical techniques to bring together the management, information technology, and modeling business process to make predictions about future. The patterns found in historical and transactional data can be used to identify risks and opportunities for future.Predictive analytics models capture relationships among many factors to assess risk with a particular set of conditions to assign a score, or weightage. By successfully applying predictive analytics the businesses can effectively interpret big data for their benefit.

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We help you create and deploy predictive analytics solutions that introduce advanced capabilities to make better decisions in the future.

Predictive analytics use cases

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Churn prediction

Predict customer churn and take effective actions to retain the customer before it is too late.

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Recommendation system

Leverage machine learning to tailor recommendations to each of your unique customers.

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Customer segmentation

Achieve deeper customer understanding and more effective customer marketing.

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Lifetime value optimization

Leverage CRM data with predictive analytics to optimize customer lifetime value.

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Dynamic pricing

Optimize your pricing strategies to stay competitive and reduce revenue leaks.

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Credit scoring

Use machine learning to improve quality of your credit scoring models.

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Demand forecasting

Respond to your business supply needs faster and more accurately.

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Marketing campaign optimization

Increasing your marketing campaign profitability with predictive analytics consulting services.

Let us help you build a modern digital business to overcome traditional culture and succeed in the age of digital transformation.

Optimizing business to make smarter decisions

From understanding complex datasets to creating robust predictive engines and beyond.

  • Logistic Regression
  • Latent Class Cluster Analysis
  • Hierarchical Bayes Models
  • Supervised Principal Components
  • Machine Learning
  • Net Lift Modeling
  • Big Data Analytics
  • Marketing Mix Models
  • Random Forest
  • Time-Series, Cross-Sectional Models
  • Classification and Regression Trees (CART)
  • Data Visualization Methods
  • Support Vector Machine
  • Social Networking Models
  • Factor Analysis
  • R-Language Modeling Techniques
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Do you have a software development project to implement.

We have people to work on it. We will be glad to answer all your questions as well as estimate any project of yours.