Enhanced Sales Management: Using Digital Forecasting
Thorsten Lips
Additional contact information
Thorsten Lips: Strategy, Innovation & Sales, Horváth & Partners
A chapter in Performance Management in Retail and the Consumer Goods Industry, 2019, pp 247-256 from Springer
Abstract:
Abstract This contribution is concerned with sales management based on digital forecasts. Estimating complex developments in companies is often characterized as an elaborate task. But as a result of digitization, there are new approaches for compiling automated and precise forecasts. The described approach in this contribution focuses on “Big Data” and “Advanced Analytics.” Outlined application examples underline the practicality of new algorithm forecasts with a higher quality, even though every company has specific requirements that must be considered.
Keywords: Advanced Analytics; Algorithm forecast; Automated models; Big Data; Digital forecast; Digitization (search for similar items in EconPapers)
Date: 2019
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-12730-5_16
Ordering information: This item can be ordered from
http://www.springer.com/9783030127305
DOI: 10.1007/978-3-030-12730-5_16
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().