Iris, responsible for Marketing and Marketing Analysis, perceives to have not enough time for the creative aspect of Marketing, since the measurement of Marketing success is very time-consuming. She needs to know how successful Marketing campaigns are and how many leads are created at which costs from a campaign. Iris wants to actively adress her customers according to their relevance. She has learned about CLV concepts as well as the RFM approach, and she needs an end to end analysis from leads to opportunities. Looking at her existing collection of reports and files, she is sure this will not do the job. This is why she looks for a standard application to cover those topics, and comes across smartPM's Marketing product family. For a few weeks she tests the modules and decides to go for it, and never regrets. Now she has the time she needs for her creative work - and rather drives her business than having to react on ever changing demands.

Robert, Sales Operations Manager, is an ordinary hero. Sales Performance Management is his main task. The thing is: Robert does not feel like working efficiently. Everyday Robert handles numerous Excel sheets and gathers data from various different source systems. Despite his effort he often can't answer his Management's questions like 'Where will we end up sales revenue wise?'   But then he decides to change his approach significantly.  Instead of creating more and even more new Excel files to compare current week's results, he considers the advice of a former colleague. She suggests an application offering Sales Performance Forecasting. It is designed to provide true SPM on the foundation of Sales Performance Analytics. The SPF application leverages Deep Learning algorithms as well as the user's vast expertise to forecast future revenue. At the same time it reduces time and cost involved in creating revenue forecastasts dramatically. Although Robert is very familiar with his Excel files, he leaves his comfort zone and asks for a demo version of smart PM sales performance forecasting module. Today he is more than happy with his decision and that he decided for thinking 'out of the box'.

Kim is in charge of Professional Services Operations in a large multinational company. Her daily challenge is to predict and close the gap between future delivery demand and supply. She knows everything about ongoing projects, and she is quite sure about future demand expected from existing clients. Tougher is trying to predict what she calls 'unnamed predicted' demand. With her current Excel based analysis and forecasting framework she get's lost, especially when trying to keep track of changes, apply rolling forecasts, auto-update from CRM, translate product demand into Services demand and answer ad-hoc questions via 'what-if analysis'. Just as she is about to create her 29th version  of her Excel file collection, she comes across smartPM.solutions Delivery Performance Management module - offering what she needs plus many use cases more - e.g. reskilling suggestions to improve util rate, standard PSO reporting and full integration to any CRM system. A few weeks later she enjoys her work way more.