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ETL vs ELT in 2022: Do they matter?

Analytics Vidhya

Obtaining, structuring, and analyzing these data into new, relevant information is crucial in today’s world. Since contextual data exposes popular patterns and trends, we have arrived at the stage where businesses take data-driven decisions to […]. appeared first on Analytics Vidhya.

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Alteryx works in generative AI for speedy analytics results

CIO Business Intelligence

Analytics and data science vendor Alteryx is rolling ChatGPT and home-grown AI expertise into some of its core modules, with the aim of generating targeted, detailed reports at high speed. The new announcements are all aimed at making advanced analytics and AI/ML more accessible for all users,” said Huo. Analytics

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How IT leaders use agentic AI for business workflows

CIO Business Intelligence

By enabling real-time, autonomous data retrieval, analysis, and visualization through natural language queries, users can accelerate time-to-insights and reduce dependency on centralized data teams, says chief data and analytics officer Anahita Tafvizi.

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Oracle launches a new sustainability app for Fusion Cloud EPM

CIO Business Intelligence

Oracle has announced the launch of Oracle Fusion Cloud Sustainability — an app that integrates data from Oracle Fusion Cloud ERP and Oracle Fusion Cloud SCM , enabling analysis and reporting within Oracle Fusion Cloud Enterprise Performance Management (EPM) and Oracle Fusion Data Intelligence.

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Prithvijit Roy Featured Among India’s Top 10 Most Influential Analytics Leaders

bridgei2i

BRIDGEi2i CEO and Co-Founder, Prithvijit Roy was featured in Analytics India Magazine’s 10 Most Influential Analytics Leaders in India – 2019. Analytics India Magazine brings out its annual list of veterans based on the scale of exceptional work done in data science and analytics. About BRIDGE i2i.

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How to Design an Analytics Stack that Humans Actually Use

Alation

percent) cite culture – a mix of people, process, organization, and change management – as the primary barrier to forging a data-driven culture, it is worth examining data democratization efforts within your organization and the business user’s experience throughout the data analytics stack.

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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.