Remove 2019 Remove Data Analytics Remove ROI Remove Statistics
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9 Ways Location Data Can Help You Excel in Retail

Smart Data Collective

One of the secrets to attracting and retaining customers is to become more data-centric. trillion in 2019? According to many surveys, more than 90% of retail organizations across a wide range of sectors feel location data is crucial to their success. The retail industry is expanding all the time.

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What you need to know about product management for AI

O'Reilly on Data

All you need to know for now is that machine learning uses statistical techniques to give computer systems the ability to “learn” by being trained on existing data. After training, the system can make predictions (or deliver other results) based on data it hasn’t seen before. What delivers the greatest ROI?

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Themes and Conferences per Pacoid, Episode 12

Domino Data Lab

Sci Foo 2019. provides ways to kill 2-3 birds with one stone: better recommendations for people leveraging that data, along with better data governance, along with better ROI on research funding. Data science teams should watch what’s happening here, especially the emphasis in the EU. Data governance, for the win!

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Interview with Dominic Sartorio, Senior Vice President for Products & Development, Protegrity

Corinium

Ahead of the Chief Data Analytics Officers & Influencers, Insurance event we caught up with Dominic Sartorio, Senior Vice President for Products & Development, Protegrity to discuss how the industry is evolving. What do you recommend to organizations to harness this but also show a solid ROI?

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The Top 20 Data Visualization Books That Should Be On Your Bookshelf

datapine

But often that’s how we present statistics: we just show the notes, we don’t play the music.” – Hans Rosling, Swedish statistician. A BI strategy that leverages data visualization will provide an ROI of $13.01 11) “Better Data Visualizations: A Guide for Scholars, Researchers, and Wonks” by Jonathan Schwabish.

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How To Find And Resolve Blind Spots In Your Data

Smart Data Collective

Get Rid of Blind Spots in Statistical Models With Machine Learning. Data-related blind spots could also exist in your statistical models. RiskSpan is a company that built a machine learning algorithm that can flag error-prone parts of a statistical model and indicate which associated outputs may be unreliable.

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Engaging External Stakeholders With Your Data Platform

InsightOut

b' Data analytics once came under the exclusive purview of number-crunching data analysts and esoteric data scientists. The power to access, analyze and present data sets from complex statistical programs lay only within their restricted reach. Technology has changed, and so have the business scenarios.