Predictive Planning Made Easy: Insights from BARC
From hyper-personalized Netflix feeds to smartphone face recognition technology, artificial intelligence (AI) and machine learning (ML) have become embedded in everyday life. Because planning and forecasting are based on large amounts of historic data, finance organizations are in a strong position to reap the benefits of the same type of acceleration and automation.
Successful implementation should be thoroughly prepared and accompanied by supporting measures, such as use cases and proven strategies. To integrate predictive planning and forecasting effectively and efficiently, it is advantageous to select platforms that have ML functionality rather than setting up parallel data storage in specific data science tools, the Business Application Research Center (BARC) recommends.
Read this BARC report to learn how finance teams can thoughtfully and successfully implement predictive planning and forecasting in their organizations.
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BARC is the leading analyst firm in Europe for technology and the successful use of data & analytics. Our BARC Digital Workplace division complements this focus with expertise in ECM, BPM, CRM and ERP.
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