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3 Data Mining Tips for Companies Trying to Understand their Customers

Smart Data Collective

One of the most important benefits of data mining is gaining knowledge about customers. Smart companies recognize that they need to use data to accurately understand their customers, rather than rely on unfounded assumptions. Smart Companies Leverage Data Mining to Identify the Best Customer Groups to Target.

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How Data Integration and Machine Learning Improve Retention Marketing

Business Over Broadway

Retention marketing is about preventing your valuable customers from churning. 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. Your marketing strategy is only as good as your ability to deliver measurable results.

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5 Sources of Data for Customer Analytics and Their Benefits

Smart Data Collective

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. 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. No pun intended.

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

Cloudera

The organization was locked into a legacy data warehouse with high operational costs and inability to perform exploratory analytics. With more than 25TB of data ingested from over 200 different sources, Telkomsel recognized that to best serve its customers it had to get to grips with its data. .

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Make or Buy?

Darkhorse

If you’ve never looked at your operational, customer, or transaction data, then don’t expect quick results. Do you have customer or operational insights your competitors don’t? If so, then you want to keep your data close and your analytics closer. Analytics capability is expensive -- sometimes prohibitively so.