Reader small image

You're reading from  Tableau Cookbook - Recipes for Data Visualization

Product typeBook
Published inDec 2016
PublisherPackt
ISBN-139781784395513
Edition1st Edition
Tools
Right arrow
Author (1)
Shweta Sankhe-Savale
Shweta Sankhe-Savale
author image
Shweta Sankhe-Savale

Shweta Sankhe-Savale is the Co-founder and Head of Client Engagements at Syvylyze Analytics (pronounced as "civilize"), a boutique business analytics firm specializing in visual analytics. Shweta is a Tableau Desktop Qualified Associate and a Tableau Accredited Trainer. Being one of the leading experts on Tableau in India, Shweta has translated her experience and expertise into successfully rendering analytics and data visualization services for numerous clients across a wide range of industry verticals. She has taken up numerous training as well as consulting assignments for customers across various sectors like BFSI, FMCG, Retail, E-commerce, Consulting & Professional Services, Manufacturing, Healthcare & Pharma, ITeS etc. She even had the privilege of working with some of the renowned Government and UN agencies as well. Combining her ability to breakdown complex concepts, with her expertise on Tableau's visual analytics platforms, Shweta has successfully trained over a 1300+ participants from 85+ companies.
Read more about Shweta Sankhe-Savale

Right arrow

Understanding and using the forecasting functionality


There may be several circumstances where we need to read historical data and to extrapolate this historical data to get an approximate idea of what to expect in the future. These forecasted values can help us in, say, budget planning or even redefining our current strategies.

The forecasting functionality in Tableau uses an built-in statistical model that enables us to estimate future values by extrapolating historical data while also taking trend and seasonality into consideration. Among the various models that are available for forecasting, Tableau uses the exponential smoothing model.

An important point to remember is that there are plenty of external factors that govern the actual data and hence the forecast will give us an approximate idea of what to expect in future. The accuracy of this forecast however will depend on the quality of the historical data.

Getting ready

In order to enable the forecasting functionality in Tableau, let...

lock icon
The rest of the page is locked
Previous PageNext Page
You have been reading a chapter from
Tableau Cookbook - Recipes for Data Visualization
Published in: Dec 2016Publisher: PacktISBN-13: 9781784395513

Author (1)

author image
Shweta Sankhe-Savale

Shweta Sankhe-Savale is the Co-founder and Head of Client Engagements at Syvylyze Analytics (pronounced as "civilize"), a boutique business analytics firm specializing in visual analytics. Shweta is a Tableau Desktop Qualified Associate and a Tableau Accredited Trainer. Being one of the leading experts on Tableau in India, Shweta has translated her experience and expertise into successfully rendering analytics and data visualization services for numerous clients across a wide range of industry verticals. She has taken up numerous training as well as consulting assignments for customers across various sectors like BFSI, FMCG, Retail, E-commerce, Consulting & Professional Services, Manufacturing, Healthcare & Pharma, ITeS etc. She even had the privilege of working with some of the renowned Government and UN agencies as well. Combining her ability to breakdown complex concepts, with her expertise on Tableau's visual analytics platforms, Shweta has successfully trained over a 1300+ participants from 85+ companies.
Read more about Shweta Sankhe-Savale