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3 Data Mining Tips for Companies Trying to Understand their Customers

Smart Data Collective

How do you know if your company is fully tapping into potential markets? You will have an easier time developing an accurate customer profile with data analytics. billion on customer analytics, because it has been so effective. But how do you use data mining to better understand your customers?

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5 Sources of Data for Customer Analytics and Their Benefits

Smart Data Collective

There is no disputing that data analytics is a huge gamechanger for companies all over the world. One of the most important is in the field of marketing. Do you know what motivates your customers? Therefore, you need sophisticated customer analytics to analyze complex customer behavior.

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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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How Data Integration and Machine Learning Improve Retention Marketing

Business Over Broadway

Reducing customer churn requires you to know two things: 1) which customers are about to churn and 2) which remedies will keep them from churning. In this paper, I show you how marketers can improve their customer retention efforts by 1) integrating disparate data silos and 2) employing machine learning predictive analytics.

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

Cloudera

In 2020, the company served more than 158 million subscribers and was supporting ten billion customer activities each day. The organization was locked into a legacy data warehouse with high operational costs and inability to perform exploratory analytics.

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Make or Buy?

Darkhorse

Many organizations have begun to recognize the benefit of using analytics to support decision-making. Do you build your own analytics team? Before we get too far, let’s make sure we answer the first question: Do you really need your own analytics capability? Can you envision more than three projects where analytics could help?