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3 Data Mining Tips for Companies Trying to Understand their Customers

Smart Data Collective

Modern businesses that neglect to invest in big data are at a tremendous disadvantage in an evolving global economy. Smart companies realize that data mining serves many important purposes that cannot be overlooked. One of the most important benefits of data mining is gaining knowledge about customers.

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5 Data Mining Tips to Leverage the Benefits of Surveys

Smart Data Collective

In short, consumer data is the gold of surveys and all market research conducted. 5 data mining tips for leveraging your surveys. Since you are collecting large chunks of data , what better than to start knowing more about your customers? Use the 5Ps model (People, Product, Promotion, Price, Place).

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Banks Merge Data Mining and CRM Tools to Boost Profitability

Smart Data Collective

This can be achieved by conducting market research, analyzing customer feedback, and engaging with them on social media. Banks Can Utilize Big Data and CRMs to Improve Customer Satisfaction There are a number of huge benefits of big data in the banking sector.

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The Growing Importance of Customer Data Mining for SMEs

Smart Data Collective

If you have a shop, this may be easier to keep on top of market research and understanding their needs. Every SME needs to get the most value of their customer data. They can find that this will significantly increase the ROI of their marketing campaigns. The next step is understanding customer needs.

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What Is Agile Market Research and Why Is It Important?

Netbasequid

Agile research to the rescue! Modern businesses have adopted agile market research as an answer to the dynamic environment in which they operate. What does this mean; how is it different from traditional market research; and why should you do it? What Is Agile Market Research? Research flexibility.

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What is data analytics? Analyzing and managing data for decisions

CIO

Data analytics draws from a range of disciplines — including computer programming, mathematics, and statistics — to perform analysis on data in an effort to describe, predict, and improve performance. What are the four types of data analytics? Data analytics includes the tools and techniques used to perform data analysis.

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What is NLP? Natural language processing explained

CIO

Natural language processing examples Data comes in many forms, but the largest untapped pool of data consists of text — and unstructured text in particular. SpaCy , an open-source library for advanced natural language processing explicitly designed for production use rather than research. Amazon Comprehend.

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