Remove Contextual Data Remove Dashboards Remove Sales Remove Visualization
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Digital Dashboards: Strategic & Tactical: Best Practices, Tips, Examples

Occam's Razor

I'm excited about the power of a well created dashboard. Dashboards are every where, we will look at a lot of them in this post and they are all digital. Here's a great dashboard, for the Museum of Art… take a minute to ponder it… Isn't it pretty awesome? They are data pukes. Still a data puke.

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Cropin’s agriculture industry cloud to provide apps, data frameworks

CIO Business Intelligence

The second layer, Data Hub, can ingest data from a variety of sources including on-farm devices, drones, IoT devices and satellites. Agriculture businesses and farmers can use the hub to access structured and contextualized data from various sources for correlation and analysis at scale, the company said.

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Data science vs data analytics: Unpacking the differences

IBM Big Data Hub

Overview: Data science vs data analytics Think of data science as the overarching umbrella that covers a wide range of tasks performed to find patterns in large datasets, structure data for use, train machine learning models and develop artificial intelligence (AI) applications.

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BRIDGEi2i Newsletter: May 2020 Recap

bridgei2i

This report guides data and analytics leaders in the evaluation phase of service providers. BRIDGEi2i recognized as “Cool Vendor” for its conversational AI-based sales enablement solution, BRIDGEfunnel, which automates and enriches post-deal analyses and provides real time contextual deal-level intelligence to sales teams.

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Five benefits of a data catalog

IBM Big Data Hub

For example, imagine business analyst Alex is working on a data analytics project to help her retail company better quantify the success of shoe sales versus jewelry sales. She also wants to predict future sales of both shoes and jewelry. A business glossary to explain the business terms used within a data asset.

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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. 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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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. So how is the data extracted? By using Structured Query Language, or SQL, the language used to manipulate and extract data stored in cubes.