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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. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.

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Digital Transformation is a Data Journey From Edge to Insight

Cloudera

Most of what is written though has to do with the enabling technology platforms (cloud or edge or point solutions like data warehouses) or use cases that are driving these benefits (predictive analytics applied to preventive maintenance, financial institution’s fraud detection, or predictive health monitoring as examples) not the underlying data.

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DataRobot and SAP Partner to Deliver Custom AI Solutions for the Enterprise

DataRobot Blog

Today, SAP and DataRobot announced a joint partnership to enable customers connect core SAP software, containing mission-critical business data, with the advanced Machine Learning capabilities of DataRobot to make more intelligent business predictions with advanced analytics. Registration is free for both events.

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Better, faster decisions: Why businesses thrive on real-time data

CIO Business Intelligence

Most organizations understand the profound impact that data is having on modern business. In Foundry’s 2022 Data & Analytics Study , 88% of IT decision-makers agree that data collection and analysis have the potential to fundamentally change their business models over the next three years.

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Understanding Structured and Unstructured Data

Sisense

In our modern digital world, proper use of data can play a huge role in a business’s success. Datasets are exploding at an ever-accelerating rate, so collecting and analyzing data to maximum effect is crucial. Companies and businesses focus a lot on data collection in order to make sure they can get valuable insights out of it.

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Moving Enterprise Data From Anywhere to Any System Made Easy

Cloudera

Use cases demand that data no longer be distributed to just a data warehouse or subset of data sources, but to a diverse set of hybrid services across cloud providers and on-prem. . Instead they built or purchased tools for data collection that are confined with a class of sources and destinations.

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Top 10 Big Data CRM Tools To Increase Business Sales

Smart Data Collective

Whether it is closing more sales deals, getting leads, offering vital customer services, marketing automation, analytics or application development, Salesforce CRM provides a bucket of comprehensive solutions. This tool is designed to connect various data sources, enterprise applications and perform analytics and ETL processes.

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