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Predictive Analytics: 4 Primary Aspects of Predictive Analytics

Smart Data Collective

Predictive analytics, sometimes referred to as big data analytics, relies on aspects of data mining as well as algorithms to develop predictive models. The applications of predictive analytics are extensive and often require four key components to maintain effectiveness.

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Deciphering The Seldom Discussed Differences Between Data Mining and Data Science

Smart Data Collective

You may not even know exactly which path you should pursue, since some seemingly similar fields in the data technology sector have surprising differences. We decided to cover some of the most important differences between Data Mining vs Data Science in order to finally understand which is which. What is Data Science?

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12 data science certifications that will pay off

CIO

Companies are increasingly eager to hire data professionals who can make sense of the wide array of data the business collects. If you’re looking to get into this lucrative field, or want to stand out from the competition, certification can be key.

Knowledge 793
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Small Businesses Use Big Data to Offset Risk During Economic Uncertainty

Smart Data Collective

Companies which require immediate business funding are using data analytics tools to research and better understand their options. However, there are even more important benefits of using big data during a bad economy. They can use data mining tools to evaluate the average interest rate of different lenders.

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8 Steps to Leveraging Analytics to Create Successful Ecommerce Stores

Smart Data Collective

How Can Your New Ecommerce Startup Take Advantage of Analytics Technology? You will have a huge competitive edge in the ecommerce market if you leverage analytics to your fullest potential. They can use data on online user engagement to optimize their business models. These algorithms are getting better all the time.

Commerce 286
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Banks Merge Data Mining and CRM Tools to Boost Profitability

Smart Data Collective

Earlier this year, we talked about some of the major changes that data has brought to the financial sector. Bhagyeshwari Chauhan of DataHut writes that one of the major ways that big data helps is with identifying fraud. Predictive analytics and other big data tools help distinguish between legitimate and fraudulent transactions.

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Is Advanced Analytics the Next Logical Step Beyond Self-Serve Business Intelligence?

Elegant BI

Put simply, business Intelligence uses historical data to reveal where the business has been, and managers can use this data to predict competitive response and discover what is changing in customer buying behavior and in sales.