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Data science vs data analytics: Unpacking the differences

IBM Big Data Hub

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Descriptive analytics: Descriptive analytics evaluates the quantities and qualities of a dataset.

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AIOps reimagines hybrid multicloud platform operations

IBM Big Data Hub

Refer to the lower part of the diagram below (box 3: Environment), which represents the environments where the workloads run. The AIOps engine is focused on addressing four key things: Descriptive analytics to show what happened in an environment. Predictive analytics to show what will happen next.

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4 imperatives for making business intelligence work

O'Reilly on Data

As BI evolves from traditional reporting and descriptive analytics toward data science and AI, many practitioners fear that new capabilities will make their skill sets obsolete.Fighting new initiatives is, perhaps, a natural preservation instinct.

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10 Best Big Data Analytics Tools You Need To Know in 2023

FineReport

This has led to the emergence of the field of Big Data, which refers to the collection, processing, and analysis of vast amounts of data. The term “Big” does not only refer to its size, but also to its capacity to acquire, organize, and process information beyond the capabilities of traditional databases.

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Using IBM Watson to Answer Two Important Questions about your Customers

Business Over Broadway

For our example, to answer our questions, we need to look at two types of analytics: 1) Descriptive and 2) Predictive. Descriptive analytics are used to indicate the current state of the world. This correlation is referred to as the “ derived importance ” of a particular touch point.

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What is business intelligence? Transforming data into business insights

CIO Business Intelligence

BI tools access and analyze data sets and present analytical findings in reports, summaries, dashboards, graphs, charts, and maps to provide users with detailed intelligence about the state of the business. Whereas BI studies historical data to guide business decision-making, business analytics is about looking forward.

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5 Sources of Data for Customer Analytics and Their Benefits

Smart Data Collective

Below are the different types of customer service analytics and why they matter to your business. Customer Experience Analytics. Customer experience analytics can help you make more money. CX analytics is a type of descriptive analytics in which “what happened” during the customer journey is asked.