Cloud Portfolio Management (CPM) company Innotas has announced a new Predictive Portfolio Analysis (PPA) solution that uses predictive analytics for portfolio planning. Meaning what exactly (you may well be asking)? This technology is billed as being capable of predicting the best project roadmap to take given any available pool of resources or staff and complimentary technologies.
The predictive engine here identifies the highest-value projects and work that can realistically be completed, given an organization's resource and staff constraints. The software uses predictive analytics that applies statistics, advanced mathematics, and a mix of technologies to analyze large quantities of portfolio data and combinations to identify a path forward with the highest likelihood of success.
Innotas PPA is promising an end to manual calculations, matrices, or spreadsheets for portfolio planning, forecasting, and resource allocation.
Kevin Kern, CEO of Innotas, says that his firm's PPA tool reduces project and resource planning and replanning efforts from months to "mere minutes" — and that flawed information and imprecise project planning often result in unrealistic expectations for senior management.
"With many variables in the portfolio selection and resource planning process, project and portfolio managers are often making their best assumptions based on incomplete or outdated information. Predictive Portfolio Analysis empowers exceptional decision-making and communication by predicting your best possible portfolio with real-time data about what your resources can actually get done," he said.