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3 Data Mining Tips for Companies Trying to Understand their Customers

Smart Data Collective

The portion of companies with data-driven decision-making models increased from 14% to 34% between 2014 and 2021, as more companies recognize its importance. One of the most important benefits of data mining is gaining knowledge about customers. You will have an easier time developing an accurate customer profile with data analytics.

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How Data Integration and Machine Learning Improve Retention Marketing

Business Over Broadway

Siloed data sets prevent marketers from gaining a complete understanding of their customers. In this scenario, marketing analytics can only be conducted within one data silo at a time, decreasing your model’s predictive power / increasing your model’s error. Building Your Churn Model.

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How The Cloud Made ‘Data-Driven Culture’ Possible | Part 2: Cloud Adoption

BizAcuity

Analytics as a Service (AaaS). A niche within SaaS and one of the last layers specific to what it does even though there are other services like DaaS, MaaS, CaaS and NaaS in the markets. Analytics as a Service is almost a BI tool used for data analysis.and examples are restricted to the industry.

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Data Impact Award Spotlight and Update on 2020’s Industry Transformation Winner: Telkomsel

Cloudera

The introduction of the Cloudera data platform made advanced customer analytics possible. Telkomsel could better predict customer purchases and churn, personalize through recommendation engines, and provide near real-time customer care support. . A telco undergoing digital transformation.

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Make or Buy?

Darkhorse

Or is it a static problem where the model will stay the same. The systems were set up to pay claims and report to customers. Analytics was never considered. Developing analytics to reduce fraud would be a huge competitive advantage if it were successful. Or do you just have a single question you need answered.