SOURCE: Innotas

Innotas

September 19, 2014 11:15 ET

Innotas Launches New Predictive Analysis Solution to Improve Planning and Alignment of Projects and Resources

Automated Patent-Pending Predictive Analytics Solution Reduces Planning From Months to Minutes and Increases Accuracy

SAN FRANCISCO, CA--(Marketwired - Sep 19, 2014) -  Innotas today announced a new Predictive Portfolio Analysis (PPA) solution that uses predictive analytics to improve the accuracy and speed of portfolio planning, by predicting the best project roadmap for available resources or staff. Innotas, a leading provider of Cloud Portfolio Management solutions, delivers a seamless way to manage resources, applications and projects across enterprises.

The Innotas Predictive Portfolio Analysis (PPA) solution is powered by a patent-pending predictive engine, which identifies the highest-value projects and work that can realistically be completed, given an organization's resource and staff constraints. Innotas utilizes 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. With Innotas PPA, organizations can eliminate the need for time-consuming and error-prone manual calculations, matrices or spreadsheets for portfolio planning, forecasting, and resource allocation efforts -- enabling businesses to quickly adapt to changes in market, customer, organizational, or other disruptions. 

While other solutions use numeric metrics to stack rank projects, Innotas PPA predicts the best projects that can actually get done -- and then automatically assigns the best available resources to staff them. By reducing the time required to plan projects and forecast needed resources, Predictive Portfolio Analysis (PPA) allows organizations to save time and money by maximizing the utilization of available resources and initiating and investing in the right work at the right time.

"How can organizations accurately predict, plan, and re-plan for their optimal project portfolios?" said Kevin Kern, CEO of Innotas. "Up until now, it was a very challenging and time-consuming manual process. Now, our Predictive Portfolio Analysis, or PPA solution automates the work -- resulting in improved accuracy and speed. In fact, PPA reduces project and resource planning and re-planning efforts from months to mere minutes."

Kern added, "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."

Innotas Predictive Portfolio Analysis is available immediately as an annual subscription. For more information, visit http://www.innotas.com/solutions-predictive-portfolio-analysis

About Innotas
Innotas, the leading provider of Cloud Portfolio Management solutions, delivers a seamless way to manage projects, resources and applications across the enterprise. Innotas' solutions include Project Portfolio Management (PPM), Application Portfolio Management (APM), Resource Management, Agile Portfolio Management, and the Innotas Integration Platform. Innotas is ranked a "Leader" in the Gartner Magic Quadrant for Cloud-Based Project and Portfolio Management Services and a "Visionary" in the Gartner Magic Quadrant for Integrated IT Portfolio Analysis. Founded in 2000, Innotas is headquartered in San Francisco and has hundreds of customers nationwide, across healthcare, government, education and other industries. For more information, visit www.innotas.com or call 866-692-7362.

Contact Information

  • For more media information, contact:
    Lisa Hendrickson
    LCH Communications for Innotas
    516-767-8390
    Email Contact