- DeciDyn, operating in UK, US and India, provides high impact business analytic solutions, designed to smartly maximize the return on client’s current strategies, processes, data and platforms.
- Decidyn team has worked with world’s leading businesses in developing and deploying customized analytic solutions, drawing on our expertise in statistics, machine learning, and advanced web technology.
- DeciDyn’s clients include businesses in financial services, retail, technology and ecommerce sectors. Engagements range from custom analytic projects to deploying DeciDyn Proprietary Solutions.
- ConnatoTM is a powerful product recommendation solution that provides personalized product or content suggestions based on a combination of clickstream data, customer purchase and demographic information.
- MovendoTM, an Online Behavioral Segmentation tool, guides your shoppers through a highly customized journey through your site based on the real-time segmentation and targeting.
- DeciDyn has advanced capabilities in web mining, text mining and machine learning algorithms used in developing innovative business solutions. These include customer sentiment analysis and advanced search merchandising.
- Several ecommerce sites have recently deployed DeciDyn's proprietary online product recommendation solution, ConnatoTM. This has resulted in increased sales of over 10%. The average time spent on the site and number of pageviews per session have also increased.
- DeciDyn recently launched sentiment analysis solution for businesses looking to develop customer intelligence from customer reviews and feedback. The automated process enables businesses to effortlessly mine customer feedback and classify them into useful customer intelligence that can used in product development and customer service.
- DeciDyn recently completed a project for world’s foremost provider of ‘Mobility-as-a-Service’ solution. The project involved customer segmentation and profiling to enable clients streamline IT operations and policies for effective and secure IT asset usage.