Data Science Views
At NuView we have productized approaches to common business questions that can be informed by data. We call them Views; they are a look into specific portions of your data which drive insights and actions to solve the toughest growth challenges. From our data-informed approach, each of the Views are created to drive discussion with your team rather than override historical approaches and decisions.
Customer Profile View
Understand who are your best customers based on your transactional data, CRM data and demographics data from leading third-party sources.
Customer Risk View
Develop a risk model and scores for customers and identify processes to eliminate highest risk customers (delinquents, bad actors, loss-leaders)
Consumer Pricing View
Form a full picture of pricing of your products and services through competitor pricing data, breakeven analysis, and conversion rate testing.
Customer Retention View
Formulate a clear understanding of Customer Retention based on deep cohort analysis with key drivers and predictors of churn, opening up new marketing opportunities.
Marketing Lift View
Objectively view the performance of marketing campaigns, understanding the impact of new and existing marketing plans.
Call Center Ops View
Expand Insights from your call center data and understand the performance of sales and support reps through text mining, call response timing, and time of data data.
Product
Recommendation View
Identify top user events, clicks, conversions and purchases to inform optimal user experiences and products.
Optimal Vendor View
Uniquely identify who are your best vendors and suppliers based on historical performance and cost. Determine optimal selection process based on real-time inputs.
Lifetime Value View
Identify opportunities to increase lifetime value through upselling, reselling, and customer targeting.
