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Is Data Analytics Ushering in the Modern Age of Weather Forecasting?

Smart Data Collective

Weather forecasting technology has grown from strength to strength in the last few decades. Gone are the days when you had to wait for the local news channel to share the weather forecasts for the next day. Instead, you’ve got access to a broad spectrum of valuable weather data right at your fingertips.

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eCommerce Brands Use Data Analytics for Conversion Rate Optimization

Smart Data Collective

There are many ways that data analytics can help e-commerce companies succeed. One benefit is that they can help with conversion rate optimization. Collecting Relevant Data for Conversion Rate Optimization Here is some vital data that e-commerce businesses need to collect to improve their conversion rates.

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Key Data Trends And Forecasts In The Energy Sector

Smart Data Collective

Using Data to Understand the Future. Corporations need data to forecast the market’s future and the recent drop in the price of fossil fuels have invigorated alternative energy projects globally. Analytics are helping the energy sector to optimize power generation and planning.

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Optimizing clinical trial site performance: A focus on three AI capabilities

IBM Big Data Hub

This article, part of the IBM and Pfizer’s series on the application of AI techniques to improve clinical trial performance, focuses on enrollment and real-time forecasting. AI models can be designed to detect anomalies in real-time site performance data.

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5 Tips for Implementing Rolling Forecasts

Jedox

In our last post, “ Rolling Forecasts: The Pros and Cons ,” we looked at why rolling forecasts are used, when it makes sense to use them, and for whom. In our third and last post in this series, we give five tips for a successful implementation of rolling forecasts in your organization’s FP&A processes. .

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10 Examples of How Big Data in Logistics Can Transform The Supply Chain

datapine

Table of Contents 1) Benefits Of Big Data In Logistics 2) 10 Big Data In Logistics Use Cases Big data is revolutionizing many fields of business, and logistics analytics is no exception. The complex and ever-evolving nature of logistics makes it an essential use case for big data applications.

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What is predictive analytics? Transforming data into future insights

CIO Business Intelligence

With the help of sophisticated predictive analytics tools and models, any organization can now use past and current data to reliably forecast trends and behaviors milliseconds, days, or years into the future. Energy: Forecast long-term price and demand ratios. Forecast financial market trends.