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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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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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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. Smart metering helps predict demand and forecasts what will be needed based on data.

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Our quest for robust time series forecasting at scale

The Unofficial Google Data Science Blog

by ERIC TASSONE, FARZAN ROHANI We were part of a team of data scientists in Search Infrastructure at Google that took on the task of developing robust and automatic large-scale time series forecasting for our organization. So it should come as no surprise that Google has compiled and forecast time series for a long time.

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Financial planning & budgeting: Navigating the Budgeting Paradox

IBM Big Data Hub

Why budgeting feels like a marathon Just like marathon training takes months of preparation, crafting a budget involves a lot of data collection, metrics analysis, resource allocation and collaboration. Obsolete data and financial projections A budget, at its core, is a financial forecast.

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Shocking Amount of Data

Rocket-Powered Data Science

“Shocking Amount of Data” An excerpt from my chapter in the book: “We are fully engulfed in the era of massive data collection. All those data represent the most critical and valuable strategic assets of modern organizations that are undergoing digital disruption and digital transformation.

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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.