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A summary of Gartner’s recent DataOps-driven data engineering best practices article

DataKitchen

On 24 January 2023, Gartner released the article “ 5 Ways to Enhance Your Data Engineering Practices.” Data team morale is consistent with DataKitchen’s own research. We surveyed 600 data engineers , including 100 managers, to understand how they are faring and feeling about the work that they are doing.

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Why So Many Data Science Projects Fail to Deliver

Decision Management Solutions

If you are working in data science, you may be frustrated with the progress and ROI of your data science and artificial intelligence projects. The research focused on the banking sector, but it can apply to any industry. We have found that decision modeling is the best way to focus (or refocus) projects.

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PASS Financials: past, present and the Future:

Jen Stirrup

In this post, I want to analyse the current PASS situation, explain some broader context, and give people a more data-driven view. I hope that this leads to a calmer discussion by providing additional information and data. I want to help by providing data and insights on the recent PASS row online.

Metrics 104
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Big? ?Data:? ?The? ?Secret? ?to? ?Starbucks’? ? Supply? ?Chain? ?Success?

Sisense

The right use of data changes everything. Disrupting Markets is your window into how companies have digitally transformed their businesses, shaken up their industries, and even changed the world through the use of data and analytics. Invest in data, invest in your company. That’s kind of what we’re doing now.

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Three Ways to Personalize Analytics to Improve User Experience

Sisense

Personalization will be the prime driver of marketing success within five years,” McKinsey predicted, and for good reason. Removing the work a user needs to put in to get value out of a product makes them more likely to use it. Removing the work a user needs to put in to get value out of a product makes them more likely to use it.

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Artificial Intelligence: Implications On Marketing, Analytics, And You

Occam's Razor

It’s implications are far and wide, even in the narrow scope that I live in (marketing, analytics, influence). Machine Learning | Analytics. Photos can keep track of him from baby to today. It attempts to simplify a topic that has more than it’s share of coolness, confusion and complexity. AI | Now | Global Maxima. Cool, right?

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Data Science, Past & Future

Domino Data Lab

Paco Nathan presented, “Data Science, Past & Future” , at Rev. This blog post provides a concise session summary, a video, and a written transcript. data science’s emergence as an interdisciplinary field – from industry, not academia. Session Summary. Key highlights from the session include.