Customer analytics is a process by which data from customer behavior is used to help make key business decisions via market segmentation and predictive analytics. This information is used by businesses for direct marketing, site selection, and customer relationship management.
From connecting your workforce, consumers, fans and social media data to your internal systems to identify gaps to visualizing the data and building a robust data science approach to keep the data refreshed so you can move forward with making the right business decisions.
CONSUMER DATA ANALYSIS
Understand Your Customers
From small projects to large initiatives with multiple use cases, Lotus123 helps you get the right information to the right people in the right format.
eCommerce Data Analysis
We apply statistical models to e-commerce related data, allowing enterprise leaders to optimize sales.
Customer analytics is a process of collecting and analyzing customer data to learn customer behavior and preferences for making strategic and tactical business decisions, as well as automatically forming personalized recommendations.
Consumer Market Data
We dive deep into market data from your own to 3rd party data to give you insights into what will be trending next for consumers.
We help organizations implement intelligent software that helps them see and understand their data. From Tableau to DOMO, MS Power BI, Sisense and more. Actionable insights to get everyone on the same page.