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Perform time series forecasting using Amazon Redshift ML and Amazon Forecast

AWS Big Data

Many businesses use different software tools to analyze historical data and past patterns to forecast future demand and trends to make more accurate financial, marketing, and operational decisions. Forecasting acts as a planning tool to help enterprises prepare for the uncertainty that can occur in the future.

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Error Metrics: How to Evaluate Your Forecasts

Jedox

When considering the performance of any forecasting model, the prediction values it produces must be evaluated. An error metric is a way to quantify the performance of a model and provides a way for the forecaster to quantitatively compare different models 1. Where y’ is forecasted value and y is the true value.

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Measure performance of AWS Glue Data Quality for ETL pipelines

AWS Big Data

As part of the results, we show how AWS Glue Data Quality provides information about the runtime of extract, transform, and load (ETL) jobs, the resources measured in terms of data processing units (DPUs), and how you can track the cost of running AWS Glue Data Quality for ETL pipelines by defining custom cost reporting in AWS Cost Explorer.

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Forecasting Solar Radiation using DataRobot to Optimize Power Generation

DataRobot Blog

One way to determine if supply can meet demand is to forecast how much solar power can be generated in advance. Forecasting how much solar power will be generated is directly dependent on the availability of solar radiation or sunlight in layman terms. Courtesy: University of Oregon. Courtesy: NSRDB.

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Rolling Forecasts: The Pros and Cons

Jedox

In our previous blog post, “ What are Rolling Forecasts? ” we covered forecasting and rolling forecasts in general. In our second post in this series, we look at the pros and cons of introducing rolling forecasts for your organization. Year-end forecasts help to make decisions in order to achieve annual goals.

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Support Your Supply Chain with Continuous Planning and Flexible Forecasting

Jet Global

Supply chain forecasting and planning have evolved over the years into an impressive discipline that creates efficiencies and helps companies deliver their product to the right customer at the right time at a reasonable cost. Agility requires the capacity to gather information fast, digest and analyze it, and draw actionable insights from it.

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Top 15 Warehouse KPIs & Metrics For Efficient Management 

datapine

A Warehouse KPI is a measurement that helps warehousing managers to track the performance of their inventory management, order fulfillment, picking and packing, transportation, and overall operations. It allows for informed decision-making and efficient risk mitigation. Let’s dive in with the definition. What Is A Warehouse KPI?

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