Predictive Analytics helps organizations anticipate change so that they can plan and carry out strategies to improve outcomes. By applying predictive analytics solutions to data, organizations can uncover unexpected patterns and associations and develop models to guide front-line interactions. This means they can prevent high-value customers from leaving, sell additional services to current customers, develop successful products more efficiently, or identify and minimize fraud and risk. Predictive Analytics gives you the knowledge to predict…and the power to act.
DataHub Analytics help you create a predictive analytical ability utilizing a framework that. distinguishes patterns in your historical information utilizing data mining techniques, while searching for new opportunities to decrease costs and increase profits
Datahub team will help you covers the whole process of predictive analytics including the extraction of information from existing data, discovering usable insights and predicting future outcomes. Most importantly, the outputs are usable and are deployed to your operational systems in a secure and effective environment.
Predictive Analytics Engagement
We work directly with your business people and your data. Particularly for predictive analytics, it is vitally important to develop a clear understanding of the business meaning of the data, because inferences will later be drawn from it and potentially far-reaching action taken as a result.
Often DataHub Analytics consultants bring fresh eyes to help client staff members clarify their own understanding and make sure the most valuable business questions are being tackled.
This fundamentally helps the client company on its journey to becoming an analytical competitor.
After this initial review we apply our data mining expertise to produce predictive models, using our statistical knowledge to select the most appropriate modelling tools and techniques for your specific needs. Our focus is to deliver tangible business performance improvements quickly, with benefits seen by everyone in the business, not just the data team.
Businesses who have good data management in place and who want to benefit more from it, for example exploiting their ‘single view of the customer’
Enterprises looking to create more refined customer segmentation with product portfolios tailored to them
Organizations looking to improve business performance and decrease costs through greater control of the customer relationship
Companies looking to increase profitability by improved up-selling, cross selling and customer retention