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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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The Enterprise AI Revolution Starts with BI

Jet Global

And how can the data collected across multiple touchpoints, from retail locations to the supply chain to the factory be easily integrated? Enter data warehousing. So how is the data extracted? By using Structured Query Language, or SQL, the language used to manipulate and extract data stored in cubes.

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Assembly required: 8 myths about knowledge management debunked

CIO Business Intelligence

Knowledge assembly in action To better understand why organizations fall short when assembling knowledge, we must first understand how knowledge assembly unfolds, starting with some basic concepts: Data are raw, unorganized facts, such as numbers, text, and images, that lack context and meaning on their own.

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The Future of AI in the Enterprise

Jet Global

And how can the data collected across multiple touchpoints, from retail locations to the supply chain to the factory be easily integrated? Enter data warehousing.

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The Future of AI in the Enterprise

Jet Global

And how can the data collected across multiple touchpoints, from retail locations to the supply chain to the factory be easily integrated? Enter data warehousing.

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Digital Dashboards: Strategic & Tactical: Best Practices, Tips, Examples

Occam's Razor

It also handy explanations of the metrics, with key context where necessary. They don't have an ability to analyze the data, should anything pique their interest, and neither will they ever want access to the contextual data to do a… oh, wait, why did x happen , or I wonder if z is the reason Average Order Value is $356.