{"id":95,"date":"2016-04-01T08:37:00","date_gmt":"2016-04-01T06:37:00","guid":{"rendered":"http:\/\/saletelligence.de\/en\/forecasting\/"},"modified":"2016-07-28T16:45:53","modified_gmt":"2016-07-28T14:45:53","slug":"forecasting","status":"publish","type":"page","link":"https:\/\/saletelligence.com\/en\/solutions\/marketing\/forecasting\/","title":{"rendered":"Forecasting"},"content":{"rendered":"

Forecasting<\/h1>\n

To exactly predict the future is impossible. Accordingly, realistic assessments regarding relevant target figures, e.g. product revenues, are an exciting challenge. We support our customers in the development of precise forecasts regarding different points in time in the product lifecycle.<\/strong> For this, we combine statistical expertise with specific tools, in order to offer the best possible solution for the respective issue and\/or the respective application case.
\n<\/p>\n

Time-series forecasting<\/h2>\n

<\/span>For the forecasting of existing time-series, SALETELLIGENCE has developed an adaptive forecasting tool of its own.<\/p>\n

Our tool combines the profound forecasting of time-series (e.g. revenues) by means of established methods with an interactive interface for the integration of future external effects.<\/p>\n

Our solution is rounded out by a tailored processing of the results.<\/p>\n<\/div>\n

<\/span>\n

<\/p>\n

Time-series forecasting <\/em><\/strong><\/p>\n<\/div>\n<\/div>\n

Patient-based forecasting<\/h2>\n

<\/span>Complicated therapy schemes frequently require a significantly more detailed planning than can be sensibly mapped via time-series models. For this, SALETELLIGENCE utilises specific models based on patient numbers so that the therapies can be mapped comprehensively.<\/p>\n

If possible, the models are, furthermore, supplemented by automated forecasts and\/or detailed risk assessments.<\/p>\n<\/div>\n

<\/span>\n

\"Patient-based<\/p>\n

Patient-based forecasting<\/p>\n<\/div>\n<\/div>\n

Risk analysis \/ scenario planning<\/h2>\n

<\/span>Quite frequently, assumptions have to be made in plannings and modelings. The respective assumptions are always more or less severely afflicted by uncertainty. Being wrong in the assumptions can, at times, have a very strong influence on the quality of the result of the corresponding modelings.<\/p>\n

In order to ensure a higher degree of planning certainty in this context, we support our customers through the integration of elements of risk analysis in the respective models. By means of statistical simulation methods, the individual statements can be made and ascertained more well-foundedly.<\/p>\n<\/div>\n

<\/span>\n

<\/p>\n

Patient waterfall forecasting <\/strong><\/em><\/p>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

Forecasting Time-series forecasting Patient-based forecasting Risk analysis \/ scenario planning<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":93,"menu_order":1,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"_exactmetrics_skip_tracking":false,"_exactmetrics_sitenote_active":false,"_exactmetrics_sitenote_note":"","_exactmetrics_sitenote_category":0,"footnotes":""},"class_list":["post-95","page","type-page","status-publish","hentry"],"acf":[],"yoast_head":"\nForecasting - Saletelligence<\/title>\n<meta name=\"description\" content=\"SALETELLIGENCE erleichtert Unternehmen der Healthcare-Branche die Sicherstellung der Patientenversorgung durch zielgerichtete Analysen, relevante Informationsbereitstellung und einfach zu handhabende Tools.\" \/>\n<meta name=\"robots\" content=\"noindex, follow\" \/>\n<meta property=\"og:locale\" content=\"en_GB\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Forecasting - 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