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The Dawn of Cloud Based BI

BizAcuity

Cloud allows us to store huge amounts of data. The other half is to take out that data and use it in the right place, at the right time. In other words, it’s the evolution from data amassing to drawing insights from it by fostering better practices and technologies. And this minimizes any chances of data duplication.

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PODCAST: COVID19 | Redefining Digital Enterprises – Episode 12: How AI is rapidly transforming the enterprise landscape in the post-COVID world

bridgei2i

She’s the founder and CEO of StatWeather, a company, which was recognized as number one in climate technology globally in the year, 2017, by the Energy Risk Awards. More efficient, more scalable systems are going to be able to handle more data. I’m also seeing more of a centralization of data through the cloud technology.

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ML internals: Synthetic Minority Oversampling (SMOTE) Technique

Domino Data Lab

Further, imbalanced data exacerbates problems arising from the curse of dimensionality often found in such biological data. Insufficient training data in the minority class — In domains where data collection is expensive, a dataset containing 10,000 examples is typically considered to be fairly large. 1998) and others).

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Topgolf Callaway tees up digital transformation for global expansion

CIO Business Intelligence

Topgolf driving ranges provide golfers with data about their performance at the range via a mobile app. Callaway inherited a lot of legacy systems as a result of the acquisitions, and its current digital transformation journey has been driven by a need to migrate those disparate legacy systems to a single system.

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Towards optimal experimentation in online systems

The Unofficial Google Data Science Blog

Experiments, Parameters and Models At Youtube, the relationships between system parameters and metrics often seem simple — straight-line models sometimes fit our data well. Modeling live experiment data Data scientists at YouTube are rarely involved in the analysis of typical live traffic experiments.

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Magnificent Mobile Website And App Analytics: Reports, Metrics, How-to!

Occam's Razor

In this post we will look mobile sites first, both data collection and analysis, and then mobile applications. When you analyze the data in Google Analytics (or Adobe or WebTrends or Webtrekk), this data will be in your Campaigns folder waiting for you to some pretty magnificent analysis. Tag your mobile website. Everything.

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Top 10 Analytics And Business Intelligence Trends For 2020

datapine

Data exploded and became big. Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. The rise of self-service analytics democratized the data product chain. 1) Data Quality Management (DQM). We all gained access to the cloud.