Data Science Services
We use supervised and unsupervised machine learning algorithms to predict an occurrence, establish a co-occurrence or causality or segment a customer base based on varied behavioural patterns, recommendation of pricing or product feature mix etc.
With Data science consulting & services, we can help you create the most optimal marketing campaigns or product offerings that are more customer oriented.
Key Points
Lead Scoring
Predictive Analytics for Campaign Targeting
Product Price & Feature Mix
Customer Segmentation
Drivers of Negative & Positive Reviews
FAQs
B2B data analytics involves the collection, analysis, and interpretation of data specifically in the context of B2B interactions.
The ‘5 P’s’ of data science are purpose, plan, process, people, and performance.
Business-to-business data (B2B data) is any information that benefits B2B companies, especially their sales, marketing or revenue operations teams.
In data analytics and data science, there are four main types of data analysis: Descriptive, diagnostic, predictive, and prescriptive.
B2B, or Business-to-Business, is transforming software development with innovative approaches to APIs, integrations, and cutting-edge technologies like AI, Blockchain, IoT, and Cloud-Native solutions.