Big data can help you anticipate customer demand. By classifying key attributes of past and current products and then modelling the relationship between those attributes and the commercial success of the offerings, you can build predictive models for new products and services. Dig deeper by using the data and analytics from focus groups, social media, test markets, and early store rollouts to plan, produce, and launch new product.

The race for customers is on. Big data provides retailers with a clearer view of the customer experience that they can use to fine-tune their operations. By gathering data from social media, web visits, call logs and other company interactions, and other data sources, companies can improve customer interactions and maximize the value delivered. Big data analytics can be used to deliver personalized offers, reduce customer churn, and proactively handle issues.

Retailers need to know the true profitability of their customers, how markets can be segmented, and the potential of any future opportunities. End-to-end profit and margin analysis can help with identifying pricing improvement opportunities and areas where profits may be leaking.

Operational efficiency is one of the areas in which data can have the most impact on profitability. With data, you can analyze and assess production processes, proactively respond to customer feedback, and anticipate future demands.

Gain an edge by anticipating your rivals' next moves with historic pricing data analytics. Outmanoeuvre your competitors by keeping up-to-date with their pricing strategies to predict what they could do next

Uncover mobile-desktop traffic share of any company in the market. Dissect your competitors' marketing mix by their traffic sources — direct, search, referral, paid, and social. Locate which countries their traffic comes from. Explore which sites people visit before and after landing on a competitor's site

Discovery your rivals' top web pages, including stats for cart, trial, and checkout success pages. Spot new landing pages that get extra promotional efforts. Pinpoint your competitors' most popular products, services, and categories

By analyzing real-world customer insights, businesses can draw better conclusions about customer interests and values. This can then be applied to identify new opportunities: expansion to new markets, product or service offerings, and improvements to the overall customer experience.

Data Analytics offers valuable insights that help organizations innovate. Data Analytics makes the interdependencies between humans, institutions, entities, and processes more apparent. With better understanding of market trends and customer needs, organizations can improve decision-making about new products and services. Customer data analytics helps with client's retention.