![]() ![]() Instead, using algorithms and formulas, they gain a deep understanding of the underlying patterns, which results in predicting customers’ behavior and buying propensity.Įcommerce is a kind of industry that vitally needs data analytics to find the answers. Investing in data analytics, companies go beyond simple calculations of customer numbers, costs, and revenue. In particular, the most trending areas are master data and data quality management, data discovery and visualization, and establishing a data-driven culture. According to the survey of 2,856 users, consultants, and vendors by Business Application Research Center, BI is still increasingly demanded in 2020, and multiple successful use cases of big data in ecommerce prove it.
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