Remove Reporting Remove Statistics Remove Uncertainty Remove Visualization
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What are decision support systems? Sifting data for better business decisions

CIO Business Intelligence

A DSS supports the management, operations, and planning levels of an organization in making better decisions by assessing the significance of uncertainties and the tradeoffs involved in making one decision over another. Commonly used models include: Statistical models. Data-driven DSS. Yonyx is a platform for creating DSS applications.

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Huabao sniffs out the ultimate efficiency formula

CIO Business Intelligence

Without visualized analytics, it was difficult to bridge the void between expectation and accurate analysis. The objectives were lofty: integrated, scalable, and replicable enterprise management; streamlined business processes; and visualized risk control, among other aims, all fully integrating finance, logistics, production, and sales.

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COVID-19 Data Spreads like a Virus

Juice Analytics

As I was listening to a Data Visualization Society round table discussion about the responsible use of COVID-19 data (properly distanced and webinar-ed, of course), a few thoughts seemed most relevant. Forecasts are built by experts, using lots of assumptions, based on very complex and specifically applied statistical models.

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Quantitative and Qualitative Data: A Vital Combination

Sisense

Most commonly, we think of data as numbers that show information such as sales figures, marketing data, payroll totals, financial statistics, and other data that can be counted and measured objectively. All descriptive statistics can be calculated using quantitative data. Digging into quantitative data. This is quantitative data.

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Turn Up the Signal; Turn Off the Noise

Perceptual Edge

This certainly applies to data visualization, which unfortunately lends itself to a great deal of noise if we’re not careful and skilled. Every choice that we make when creating a data visualization seeks to optimize the signal-to-noise ratio. No accurate item of data, in and of itself, always qualifies either as a signal or noise.

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Getting ready for artificial general intelligence with examples

IBM Big Data Hub

LLMs like ChatGPT are trained on massive amounts of text data, allowing them to recognize patterns and statistical relationships within language. Nearly all respondents reported promising early results from gen AI experiments and planned to increase their spending in 2024 to support production workloads.

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Towards optimal experimentation in online systems

The Unofficial Google Data Science Blog

If $Y$ at that point is (statistically and practically) significantly better than our current operating point, and that point is deemed acceptable, we update the system parameters to this better value. Crucially, it takes into account the uncertainty inherent in our experiments. Figure 4: Visualization of a central composite design.