Predictive Model Building & Implementation
- Predictive Analytics is the science of extracting information from data sets in order to seek the obvious & not-so-obvious patterns to predict future trends based on ‘what-if’ scenarios & risk assessment.
- For businesses, predictive models are used to analyze both, historical as well as present-day data. Why? The science is used to watch out for potential risks & opportunities that are likely to arise in the future.
- So how does Predictive Analytics help marketers? The latter today face immense pressure when it comes to justifying returns of their marketing spend. They desperately seek novel techniques, methodologies, automation & analytics to effectively assess the performance of their campaigns.
- The Express Analytics solution empowers the marketer with predictive models that help to envisage customer behavior. It uses a number of techniques, including data mining & statistical modeling to help make future business forecasts.
- By harnessing the power of Predictive Analytics, marketers can refine their customer data into what are called as, “actionable insights”, which can increase response rate of campaign, maximize return on investment & ultimately increase the profitability of an organization.
- Our models score the customer base & rank the customers by their likelihood to response to a specific campaign. By targeting the right customers with the right message through the right channel, our clients save in costs, while simultaneously increasing revenue.
- We deploy these pre-built models in operational applications of enterprise such as CRM, POS, & Call Center Application in order to improve the overall operational efficiency of an organization.
- Our platform leverages the power of machine learning, predictive modeling, & advanced data visualization engines to help you answer your business’ top prioritized questions.