Implementation and Tracking

Richard Boire

Chapter Chapter 17 in Data Mining for Managers, 2014, pp 141-142 from Palgrave Macmillan

Abstract: Abstract Once the solution is complete, the next step is to implement it as part of a business initiative. In some cases, these initiatives could be unrelated to marketing. For example, the development of credit-risk models could be applied in the operations area; the output of these models consists of the risk segments that are associated with these customers. In applying solutions, the most important consideration is to ensure that the solution is being applied correctly. Initially, this requires that data quality checks will be conducted on several records to ensure that the solution has integrity on the records. This is particularly important if a third party is implementing the solution. Both the solution developer (data miner) and third party would implement the model separately using their own tools. The solution output (model variable means, model scores, etc.) should line up 100% between the data miner and third party

Keywords: Data Miner; Score Discrepancy; Model Score; Minimum Score; Solution Output (search for similar items in EconPapers)
Date: 2014
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:pal:palchp:978-1-137-40619-4_17

Ordering information: This item can be ordered from
http://www.palgrave.com/9781137406194

DOI: 10.1057/9781137406194_17

Access Statistics for this chapter

More chapters in Palgrave Macmillan Books from Palgrave Macmillan
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().