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What’s New and What’s Next in 2023 for HPC

CIO

Moving forward, we will see workflows that are more capable and widely adopted to facilitate edge-core-cloud needs like generating meshes, performing 3D simulations, performing post-simulation data analysis, and feeding data into machine learning models—which support, guide, and in some case replace the need for simulation.

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3 Ways to Develop Market Intelligence to Benchmark Against the Competition Digitally

Cleverx

The goal of a competitive analysis is to monitor a competitor’s strategies; and benchmarking takes it one step further by following the activities of market leaders, gathering metrics, and then comparing the results against a company’s performance over time. Advantages of Competitor Analysis and How to Do it ?

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Take Advantage Of Operational Metrics & KPI Examples – A Comprehensive Guide

Datapine Blog

By establishing clear operational metrics and evaluate performance, companies have the advantage of using what is crucial to stay competitive in the market, and that’s data. Measuring the open tickets vs completed ones can set benchmarks for the project management and help in the optimization of the overall ticketing system.

KPI 107
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A Data-Driven Guide To Skyrocket Your Year Over Year Growth

Datapine Blog

Here we’re going to look at the concept of YoY and consider how you can use this essential metric to your business-boosting advantage. Year over year growth is a KPI that allows you to measure and benchmark your progress against a comparison period of 12 months before. Why Do You Need YoY Analysis? What Is YoY Growth?

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Generative AI copilots: What’s hype and where to drive results

CIO

Copilot benchmarks show productivity improvements Early benchmarks show that people using copilots are more productive and use time savings to focus on higher-level functions. GitHub’s research shows that users accept 30% of code its Copilot suggests and that less experienced developers have a greater advantage with AI.

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

Datapine Blog

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. What Is Data Interpretation? Table of Contents.

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The Power Of Real Time Analytics & Business Intelligence Explained

Datapine Blog

Knowledge has become the key economic resource and the dominant, if not the only, source of competitive advantage.” – Peter F. Sporting a logical layout and data visualizations built for responsive benchmarking, this dashboard has everything you need to meet or exceed your core retail goals while remaining adaptable at all times.