One of the main findings from BARC's global planning survey is that more cloud-based planning products with greater flexibility are to be used in the future. In the 5th edition, around 1,400 planning users, consultants and providers were asked about their use of planning, budgeting and forecasting tools. Past implementation cycles as well as strengths and weaknesses of the providers were examined in order to better support (new) customers in their future purchasing decisions.

The reasons for choosing a cloud-based planning software over a classic local environment are obvious: the implementation effort is lower, the costs are reduced enormously and the own maintenance effort of hardware as well as software is not necessary. The implementation and subsequent support of the individual solution is accelerated.

Dr. Christian Fuchs, Senior Analyst at BARC and author of Planning Survey 19, emphasizes that almost two thirds of the respondents (64%) consider predictive planning to be extremely important in the future. Controllers and entire specialist departments are interested in using the added value of forward-looking AI methods for their planning, analysis and budgeting.

The cooperation and communication works very well. As technical knowledge of our business model is also available in large scale, we can rely on very good consulting services from CoPlanner. Requirements are always taken up fast and flexibly and are implemented promptly and accurately.

IT staff, process industry, > 2,500 employees

CoPlanner's software can be operated completely cloud-based and covers the requirements of a forward-looking and flexible corporate performance management software. The integrated planning, analysis, reporting and consolidation solution is enhanced by AI - artificial intelligence through sophisticated machine learning algorithms from Hadoco Services. This makes analyses possible that could previously only be realised at great expense due to the amount of data and complexity.

Planning cycles can be carried out much faster and more often, the integration of sub-plans is easier and ensures the link to analyses and reporting. AI is used in predictive planning methods, but also in algorithms for project monitoring or early detection of deviations.  This enables companies to react faster and earlier. This saves time and money. The quality factor of the results is significantly improved and creates competitive advantages.

CoPlanner is constantly developing its software further - based on the experience of many customer projects and the close partnership with our customers and innovators like Hadoco. With CoPlanner you are prepared for the future.