 DeploymentEdward H K Ng Chapter 11 in Risk Analytics:From Concept to Deployment, 2021, pp 151-159 from World Scientific Publishing Co. Pte. Ltd. Abstract: Desktop analytics are useful for planning. R itself is now embedded in Microsoft Excel as Basic Excel R Toolkit or BERT, enhancing the use of the already popular business utility. What has been covered in the earlier chapters could be replicated in Excel and there are some types of analytics well suited to that platform. These are discussed in later chapters. The efforts incurred would, however, have gained limited returns if analytics like a rating system cannot be deployed in an automated process to support intensive and time-critical operational decision-making. In many developed countries, there is a demand for retail credit approval decisions to be made in no more than five seconds from the time of application. With today’s level of digital data flow, any financial institution that is too slow in making the necessary analysis will find itself outcompeted soon. The ORR development process described earlier will be used to discuss the merits of deployment for automation… Keywords: Risk; Modeling; Basel II; Quantification; Data Management; Data Integration; Decision Support; Online Analytical Programming (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:wsi:wschap:9789811239069_0011 Ordering information: This item can be ordered from Access Statistics for this chapter More chapters in World Scientific Book Chapters from World Scientific Publishing Co. Pte. Ltd. |
Is your work missing from RePEc? Here is how to contribute.
Questions or problems? Check the EconPapers FAQ or send mail to .
EconPapers is hosted by the
School of Business at Örebro University.