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From CIO to CEO: XPO’s Mario Harik on leveling up

CIO Business Intelligence

Ever since we started the company back in 2011, when I was CIO, we’ve been using data to improve our operations. These are machine learning–based models that look at which trucks need to move where, what we are loading onto the trailers, and how many trailers the trucks should haul to maximize efficiency. Have strong feedback loops.

ROI 52
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What is TOGAF? An enterprise architecture methodology for business

CIO Business Intelligence

It was released as a reference model for enterprise architecture, offering insight into DoD’s own technical infrastructure, including how it’s structured, maintained, and configured to align with specific requirements. was released in 2011 and the most recent version, TOGAF 10 was released in 2022. in November 2006.

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11 Digital Marketing “Crimes Against Humanity”

Occam's Razor

The issues of course include people and jaded mental models and bureaucracy and a lack of time and the missing desire to be great and org structures, and bosses. " I'd postulated this rule in 2005, it is even more true in 2011. Doing anything on the web without a Web Analytics Measurement Model. Yet there they are.

Marketing 126
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Sustainable Petrochemical Company Expands Risk-Based Inspection Philosophy

CIO Business Intelligence

To illustrate, from 2011 to 2021, IVL collected over 72 billion post-consumer PET bottles for recycling, which prevented 1.6 And IVL is experimenting with recyclable plastics as part of a circular economy model. IVL expects ROI at the PNO facility to total 5 to 20 times the cost of implementation over the next five years.

Risk 76
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Accomplish Agile Business Intelligence & Analytics For Your Business

datapine

The term “agile” was originally conceived in 2011 as a software development methodology. Business intelligence is moving away from the traditional engineering model: analysis, design, construction, testing, and implementation. In the traditional model communication between developers and business users is not a priority.

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Themes and Conferences per Pacoid, Episode 5

Domino Data Lab

Also, clearly there’s no “one size fits all” educational model for data science. Laura Noren, who runs the Data Science Community Newsletter , presented her NYU postdoc research at JuptyerCon 2018, comparing infrastructure models for data science in research and education. The Berkeley model addresses large university needs in the US.

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Winning the Future: Digital Transformation, the Cloud, and AWS

Sisense

Software is eating the world, as Marc Andreessen famously stated in his 2011 WSJ article , and the cloud is the main mechanism for that push these days. Drive ROI from your data — wherever it is. They basically invented the elastic cloud storage and computing model that the entire industry has grown up around.