# 33 search results for "sales forecasting"

## Sales forecasting and direct mail optimization with Revolution R Enterprise and Alteryx

February 17, 2014
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If you missed our recent webinar Creating Value that Scales, you missed out on a live demonstration of the big-data analytics of Revolution R Enterprise embedded in the drag-and-drop visual workflow interface of Alteryx. If you want to see how a decision-maker can use the results of workflows created by data scientists, skip ahead to 25:45 to see a...

## Forecasting for small business Exercises (Part-4)

May 2, 2017
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Uncertainty is the biggest enemy of a profitable business. That is especially true of small business who don’t have enough resources to survive an unexpected diminution of revenue or to capitalize on a sudden increase of demand. In this context, it is especially important to be able to predict accurately the change in the markets Related exercise sets:

## Forecasting: Multivariate Regression Exercises (Part-4)

May 1, 2017
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In the previous exercises of this series, forecasts were based only on an analysis of the forecast variable. Another approach to forecasting is to use external variables, which serve as predictors. This set of exercises focuses on forecasting with the standard multivariate linear regression. Running regressions may appear straightforward but this method of forecasting is Related exercise sets:

## Forecasting: Linear Trend and ARIMA Models Exercises (Part-2)

April 15, 2017
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There are two main approaches to time series forecasting. One of them is to find persistent patterns in a time series itself, and extrapolate those patterns. Another approach is to discover how a series depend on other variables, which serve as predictors. This set of exercises focuses on the first approach, while the second one Related exercise sets:

## Forecasting: Time Series Exploration Exercises (Part-1)

April 10, 2017
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R provides powerful tools for forecasting time series data such as sales volumes, population sizes, and earthquake frequencies. A number of those tools are also simple enough to be used without mastering sophisticated underlying theories. This set of exercises is the first in a series offering a possibility to practice in the use of such Related exercise sets:

## Multivariate Forecasting in Tableau with R

August 2, 2016
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Since version 8.0 it is very easy to generate forecasts in Tableau using exponential smoothing. But in some cases you may want to enrich your forecasts with external variables. For example you may have the government’s forecast for population growth, your own hiring plans, upcoming holidays*, planned marketing activities… which could all have varying levels

## Basic Forecasting

October 17, 2015
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Forecasting refers to the process of using statistical procedures to predict future values of a time series based on historical trends. For businesses, being able gauge expected outcomes for a given time period is essential for managing marketing, planning, and finances. For example, an advertising agency may want to utilizes sales forecasts to identify which

## Seven forecasting blogs

April 21, 2014
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There are several other blogs on forecasting that readers might be interested in. Here are seven worth following: No Hesitations by Francis Diebold (Professor of Economics, University of Pennsylvania). Diebold needs no introduction to forecasters. He primarily covers forecasting in economics and finance, but also xkcd cartoons, graphics, research issues, etc. Econometrics Beat by Dave Giles. Dave is a professor of...

## Hierarchical forecasting with hts v4.0

February 12, 2014
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A new version of my hts package for R is now on CRAN. It was completely re-written from scratch. Not a single line of code survived. There are some minor syntax changes, but the biggest change is speed and scope. This version is many times faster than the previous version and can handle hundreds of thousands of time series...

## Forecasting By Combining Expert Opinion

January 3, 2014
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by Michael Helbraun Michael is member of Revolution Analytics Sales Support team. In the following post, he shows how to synthesize a probability distribution from the opinion of multiple experts: an excellent way to construct a Bayesian prior. There are lots of different ways to forecast. Depending on whether there’s historical data, trend, or seasonality you might choose to...