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Data science vs data analytics: Unpacking the differences

IBM Big Data Hub

How effectively and efficiently an organization can conduct data analytics is determined by its data strategy and data architecture , which allows an organization, its users and its applications to access different types of data regardless of where that data resides.

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Are You Getting The Most Out Of Your Marketing Data?

Smart Data Collective

If your brand is trying to navigate today’s crowded and confusing analytics environment, one of the best things you can do is actively seek to reduce the amount of information you’re trying to wrangle. Instead of looking at everything, you can identify which strategies offer the most valuable insights and set the rest aside.

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5 Sources of Data for Customer Analytics and Their Benefits

Smart Data Collective

This article will go over the concept of customer service analytics and some of the uses and advantages it could provide to a business. What Is Customer Service Analytics? Customer service analytics is necessary for businesses that want to assess the level of help provided to customers and other key stakeholders.

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What Is The Difference Between Business Intelligence And Analytics?

datapine

While BI tells you what has happened in the past and what is happening now (descriptive analytics), BA tells you what will happen in the future (predictive analytics). Descriptive analytics : As its name suggests, this analysis method is used to describe and summarize the main characteristics found on a dataset.

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What Is Embedded Analytics?

Jet Global

In a recent study by Mordor Intelligence , financial services, IT/telecom, and healthcare were tagged as leading industries in the use of embedded analytics. Healthcare is forecasted for significant growth in the near future. Business End-User Benefits Embedding analytics into essential applications makes analytics more pervasive.