{"id":2558,"date":"2023-06-28T13:31:23","date_gmt":"2023-06-28T13:31:23","guid":{"rendered":"https:\/\/nag.com\/?post_type=case-studies&p=2558"},"modified":"2023-07-06T14:01:22","modified_gmt":"2023-07-06T14:01:22","slug":"rapidly-develop-an-application-for-forecasting-using-nag-routines","status":"publish","type":"case-studies","link":"https:\/\/nag.com\/case-studies\/rapidly-develop-an-application-for-forecasting-using-nag-routines\/","title":{"rendered":"Rapidly Develop an Application for Forecasting Using n<\/i><\/span>AG Routines"},"content":{"rendered":"\n
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Rapidly Develop an Application for Forecasting Using n<\/i><\/span>AG Routines<\/h1>\n \n

Case Study<\/p>\n<\/div>\n\n \n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n<\/div>\n\n\n\n

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CACI is a large global organisation with over 11,000 people worldwide with CACI Ltd a wholly owned UK subsidiary. Within CACI\u2019s UK Customer Solutions Group is a team who support contact centres \u2013 providing simulation, forecasting and optimization products focussed on enabling best practice resource planning activities.\u00a0\u00a0<\/p>\n

Due to increased demand this group recently updated and improved their \u2018Contact Centre Forecasting\u2019 application.\u00a0 The objectives for the new product were very simple: the application had to provide accurate results, provide an enhanced user experience and to support future development in a cost effective manner.\u00a0The internal project team had additional objectives \u2013 to develop the new application to tight deadlines and budgets and, importantly, to finish on time.\u00a0\u00a0<\/p>\n

A number of ways of addressing the diverse requirements of the application were considered. However the possibility of producing the required \u2018Regression\u2019, \u2018Neural Networks\u2019 and \u2018Optimization\u2019 algorithms in-house was quickly discounted as the elapsed time needed could not be accommodated within the timescales of the project. The n<\/i><\/span>AG Library was therefore the obvious choice. In addition, the extensive suite of numerical routines from n<\/i><\/span>AG meant future enhancements to CACI\u2019s forecasting application could be done quickly reacting to market needs. The final deciding factor was a combination of n<\/i><\/span>AG\u2019s proven track record of technical excellence and its reputation for close customer partnership.<\/p>\n

Faster response times for forecasting calculations<\/h3>\n

All the application development was done, by a small team, using the .NET framework and by making software calls into the\u00a0n<\/i><\/span>AG Library<\/a>\u00a0via software wrappers. During the development process the few technical questions were answered expertly and quickly as the quirks of the typical target market data sets were incorporated into the new product design.<\/p>\n

The resulting application now has a visibly faster response time for forecasting calculations, with a simple interface for selecting between models and has the ability to be exactly tailored to future customer requests for alternative forecasting methods \u2013 thanks to n<\/i><\/span>AG code.\u00a0\u00a0<\/p>\n

The CACI Contact Centre Forecasting application is currently licensed to some important users who are very happy with the results \u2013 such as Royal and Sun Alliance, British Gas and QVC.\u00a0Tracy Rice, Head of Contact Centre at QVC says that\u00a0\u201cSupport following implementation is excellent and you are still able to work with the team for advice and adjustments to the system. CACI are a very customer focussed dedicated team of experts.\u201d\u00a0<\/em><\/p>\n

Meanwhile the n<\/i><\/span>AG routines do the key mathematical work.\u00a0\u201cWe decided that the heart of our application had to come from the best technical source.\u201d<\/em>\u00a0said Dr Matt Gardner, Associate Director CACI Ltd,\u00a0\u201cSo selecting n<\/i><\/span>AG was a \u2018no-brainer\u2019. CACI pride themselves on delivering \u2018best of breed solutions\u2019 and n<\/i><\/span>AG is without question a technical authority that provides the advanced numerical components that we must have for this market combined with simple, great value for money, licence terms. The fact that n<\/i><\/span>AG people are partner orientated is just a bonus.\u201d<\/em><\/p>\n <\/div>\n <\/div>\n<\/div>\n\n\n

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<\/div>\n\n \n Learn more about the n<\/i><\/span>AG Library <\/i><\/a> <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

The extensive suite of n<\/i><\/span>AG Library routines meant future enhancements to CACI\u2019s forecasting application could be done quickly reacting to market needs.<\/p>\n","protected":false},"author":8,"featured_media":2561,"parent":0,"menu_order":0,"template":"","meta":{"content-type":"","footnotes":""},"post-tag":[45,27,18,21],"class_list":["post-2558","case-studies","type-case-studies","status-publish","has-post-thumbnail","hentry"],"yoast_head":"\nRapidly Develop an Application for Forecasting Using NAG Routines - nAG<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/nag.com\/case-studies\/rapidly-develop-an-application-for-forecasting-using-nag-routines\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Rapidly Develop an Application for Forecasting Using NAG Routines - 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