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Mind the Gap Between Data and Analytics

David Menninger's Analyst Perspectives

If you’ve ever been to London, you are probably familiar with the announcements on the London Underground to “mind the gapbetween the trains and the platform. I suggest we also need to mind the gap between data and analytics.

Analytics 315
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A MLOps-Enhanced Customer Churn Prediction Project

Analytics Vidhya

Introduction When we hear data science, the first thing that comes to mind is building a model on notebooks and training the data. But this is not the situation in real-world data science. In the real world, data scientists build models and put them into production.

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Recognize and Plan for the AI and Machine Learning Skills Gap

David Menninger's Analyst Perspectives

Recently, I suggested you need to “ mind the gapbetween data and analytics. This perspective addresses another gap — the gap in skills between business intelligence (BI) and artificial intelligence/machine learning (AI/ML).

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8 ways IT can help supercharge your sales team

CIO Business Intelligence

Supply insightful, actionable data IT should supply sales team members with the timely, accurate data they need to become top performers, recommends Michael Tantrum, national sales director at IT consulting firm Resultant. Data should be both insightful and actionable.

Sales 127
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Turning the tide in STEM career roadblocks at Synchrony

CIO Business Intelligence

Clearly, there is a disconnect between the promise of pursuing a technology career and the reality of the number of women pursuing and maintaining STEM careers. Clearly, there is a disconnect between the promise of pursuing a technology career and the reality of the number of women pursuing and maintaining STEM careers.

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What Is Enterprise Architecture (EA)? – Definition, Methodology & Best Practices

erwin

It provides a visual blueprint, demonstrating the connection between applications, technologies and data to the business functions they support. With this in mind, a useful analogy for understanding EA is city planning. Enterprise architecture (EA) is a strategic planning initiative that helps align business and IT.

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A Guide To The Methods, Benefits & Problems of The Interpretation of Data

datapine

1) What Is Data Interpretation? 2) How To Interpret Data? 3) Why Data Interpretation Is Important? 4) Data Analysis & Interpretation Problems. 5) Data Interpretation Techniques & Methods. 6) The Use of Dashboards For Data Interpretation. Business dashboards are the digital age tools for big data.